# Best Predictive Analytics Tools and Software - Page 6 *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* Predictive analytics software mines and analyzes historical data patterns to predict future outcomes by extracting information from data sets to determine patterns and trends. Using a range of statistical analysis and algorithms, analysts use predictive analytics tools to build decision models, which business managers can use to plan for the best possible outcome. Analysts, business users, data scientists, and developers all use predictive analytics solutions to better understand customers, products, and partners and to identify potential risks and opportunities for a company. Predictive analytics platforms enable organizations to use big data (both stored and real-time) to move from a historical view to a forward-looking perspective of the customer. These tools and techniques can be deployed both on premise (usually for enterprise users) and in the cloud. While the majority of predictive analytics software is proprietary, versions that are based on open-source technology do exist. Recent trends in software for predictive analytics show its integration with [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms), [ERP systems](https://www.g2.com/categories/erp-systems), or other [digital analytics software](https://www.g2.com/categories/digital-analytics). To qualify for inclusion in the Predictive Analytics category, a product must: - Mine and analyze structured and/or unstructured data - Create datasets and/or data visualizations from compiled data - Create predictive models to forecast future probabilities - Adapt to change and revisions - Allow import and export from office suites or other data-collecting channels ## Top Predictive Analytics Software at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Tableau](https://www.g2.com/products/tableau/reviews) | 4.4/5.0 (3,672 reviews) | Visual data storytelling with drag-and-drop forecasting | "[Turning Complex Data into Actionable Insights](https://www.g2.com/survey_responses/tableau-review-13075232)" | | 2 | [Clari](https://www.g2.com/products/clari/reviews) | 4.6/5.0 (5,503 reviews) | AI-driven revenue forecasting inside Salesforce pipelines | "[Clari Platform Review from a RevOps Perspective](https://www.g2.com/survey_responses/clari-review-12400239)" | | 3 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (773 reviews) | Enterprise ML model governance with low-code deployment | "[Effective Data Analysis with SAS Viya](https://www.g2.com/survey_responses/sas-viya-review-11872818)" | | 4 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,144 reviews) | SQL-based ML modeling on petabyte-scale datasets | "[Easy-to-Use Cloud Tool with Shareable, Saved Queries](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)" | | 5 | [Adobe Analytics](https://www.g2.com/products/adobe-analytics/reviews) | 4.2/5.0 (1,170 reviews) | Cross-channel customer journey analytics with Adobe integration | "[Powerful, Detailed Insights with Customizable Dashboards in Adobe Analytics](https://www.g2.com/survey_responses/adobe-analytics-review-12644645)" | | 6 | [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews) | 4.1/5.0 (438 reviews) | Enterprise forecasting with governed data models | "[Powerful, Scalable Analytics with Interactive Dashboards and Strong Governance](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018)" | | 7 | [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews) | 4.3/5.0 (675 reviews) | AWS-native dashboards with ML-powered forecasting | "[Fast, Serverless BI with Seamless AWS Integration](https://www.g2.com/survey_responses/amazon-quicksight-review-11692248)" | | 8 | [IBM SPSS Statistics](https://www.g2.com/products/ibm-spss-statistics/reviews) | 4.2/5.0 (893 reviews) | Point-and-click statistical modeling for non-programmers | "[Efficient, Reliable Statistical Analysis with an Approachable UI in IBM SPSS Statistics](https://www.g2.com/survey_responses/ibm-spss-statistics-review-12829044)" | | 9 | [SAP Analytics Cloud](https://www.g2.com/products/sap-analytics-cloud/reviews) | 4.2/5.0 (750 reviews) | — | "[SAP Analytics Cloud Clean Dashboards and Powerful Real Time Analytics in One Place](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12817514)" | | 10 | [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) | 4.3/5.0 (520 reviews) | Real-time predictive analytics on SAP transactional data | "[Efficient Transactions, But Time-Intensive Setup](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)" | --- ## What Are the Most Common Questions About Predictive Analytics Software? *AI-generated · Last updated: May 26, 2026* ### Which Predictive Analytics platforms let non-technical analysts build models without writing code? Based on G2 reviews, several predictive analytics tools are consistently described as approachable for non-technical users because they rely on visual workflows, drag-and-drop interfaces, or low-code model building. According to verified users, SAS Viya stands out for letting teams analyze data, build models, and create dashboards without heavy coding, while still supporting code when needed. G2 reviewers mention Pecan as a way to run predictive models quickly without a dedicated data science team, and Alteryx is often praised for making data preparation and analytics easier for business users who are not coders. These themes point to tools that reduce technical barriers while still supporting practical predictive work. **Here are some of the top-rated products on G2:** - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews/sas-viya-review-12717278) – supports no-code and code-based analytics with automated reporting and fast model work - [Pecan](https://www.g2.com/products/pecan/reviews/pecan-review-12160044) – helps teams run predictive models quickly without needing a full data science team - [Alteryx](https://www.g2.com/products/alteryx/reviews/alteryx-review-12847135) – enables non-coders to prep data, automate tasks, and produce KPI reporting ### Which Predictive Analytics platforms avoid predictions that fail spectacularly in live production environments? Based on G2 reviews, buyers tend to trust platforms that reviewers describe as reliable in production, easy to validate, and supported by strong deployment workflows. According to verified users, Pecan is frequently praised for getting predictive models live quickly and helping teams use them in sales, fraud, and demand planning use cases without a large data science function. G2 reviewers mention that it is not a black box to the same degree as some alternatives and that support teams help with setup and model improvement, which can reduce production risk. Reviews also suggest that platforms with clear monitoring, data organization, and repeatable workflows tend to inspire more confidence once predictions move into business operations. ### What Predictive Analytics most trusted by analytics leaders and data professionals based on verified reviews? Based on G2 reviews, Tableau appears most trusted by analytics leaders and data professionals in this review set because it has the strongest concentration of recent verified feedback and is repeatedly described as reliable for turning complex data into clear, actionable insights. According to verified users, Tableau helps analysts build dashboards quickly, connect multiple data sources, and support leadership reviews with interactive reporting. G2 reviewers mention its drag-and-drop workflow, strong visualization capabilities, and usefulness for spotting trends, tracking KPIs, and improving decision-making across teams. While users also note tradeoffs like pricing and learning curve, the recurring trust signal in these reviews comes from its widespread day-to-day use in analytics workflows. ### What Predictive Analytics with explainable results that business teams can trust and confidently act on? Based on G2 reviews, buyers looking for explainable predictive analytics often favor platforms that make model logic, signals, or statistical outputs easier to interpret for business teams. According to verified users, Pecan is valued because teams can analyze data, build predictive models, and review model behavior with support that helps business users understand results. G2 reviewers mention that GoodData.AI helps turn complex metrics into clearer dashboards and actionable insight, while IBM SPSS Statistics is repeatedly praised for making advanced statistical analysis approachable through structured outputs, tables, and charts. Across these reviews, trust tends to come from platforms that combine prediction with understandable presentation, not just raw model output. ### What most trusted Predictive Analytics by data teams and analysts based on verified user reviews? Based on G2 reviews, Tableau is the most trusted predictive analytics option in this dataset for data teams and analysts because reviewers repeatedly describe it as a dependable platform for analyzing large datasets, building dashboards, and sharing insights with both technical and non-technical stakeholders. According to verified users, Tableau shortens the time from raw data to decisions with drag-and-drop workflows, strong data connectivity, and interactive dashboards. G2 reviewers mention use cases ranging from forecasting and KPI tracking to supply chain analysis and executive reporting. The strongest trust signal here is not just positive sentiment, but the volume and consistency of recent reviews describing Tableau as part of daily analytics work. ### What Predictive Analytics platforms where models actually improve business decisions instead of sitting unused? Based on G2 reviews, the platforms that stand out are the ones reviewers say are tied directly to sales, operations, forecasting, or retention decisions rather than isolated experiments. According to verified users, Pecan helps teams prioritize leads, predict churn, forecast demand, and support next-purchase planning, which makes the outputs easier to operationalize. G2 reviewers mention SAS Viya as useful for large-scale analytics, dashboards, and machine learning in one environment, helping teams move from raw data to action more efficiently. Reviews also show that platforms gain adoption when they reduce manual work, fit existing workflows, and let business teams understand results without relying on a separate specialist team every time. ### Which Predictive Analytics tools require less data preparation and programming expertise than traditional approaches? Based on G2 reviews, several tools are described as reducing the amount of data preparation and coding typically associated with predictive analytics. According to verified users, Amazon Forecast helps teams generate forecasts without needing deep machine learning expertise, while Pecan is valued for letting SQL-capable or semi-technical users create predictive models without a full data science workflow. G2 reviewers mention Alteryx as especially helpful for cleaning, blending, and automating data preparation through a drag-and-drop interface. SAS Viya also appears in reviews as a low-code or no-code option for modeling and dashboarding. Overall, reviewers favor platforms that automate prep work, simplify model setup, and shorten the path from raw data to usable predictions. ### What highest rated Predictive Analytics for driving accurate and actionable business forecasting consistently? Based on G2 reviews, accurate and actionable business forecasting is most often associated with tools built for repeatable forecasting workflows and clear operational outputs. According to verified users, Nixtla is praised for fast forecasting, zero-shot forecasting across many series, and strong ease of use for sales, energy, and demand forecasting scenarios. G2 reviewers mention Amazon Forecast for reliable demand planning and inventory forecasting without requiring deep machine learning expertise. SAS Visual Forecasting is also highlighted for large-scale automated forecasting that provides a strong baseline. Across these reviews, the most valued forecasting platforms are those that save time, support faster decisions, and make forecasts practical enough to guide planning rather than stay theoretical. ### What is the best Predictive Analytics for teams turning raw data into accurate business forecasts without specialist PhDs? Based on G2 reviews, Pecan is the best fit for teams that want to turn raw data into usable business forecasts without needing specialist data science expertise. According to verified users, Pecan helps organizations build predictive models quickly through an interface that is approachable for SQL users and semi-technical teams, with strong support throughout setup and deployment. G2 reviewers mention use cases such as sales forecasting, customer lifetime value, churn prediction, lead prioritization, and demand planning. Reviews consistently describe faster time to value, easier onboarding, and practical business outputs. That combination makes it especially appealing for teams that want forecasting capability without building a full in-house modeling function. ### What top Predictive Analytics solutions predicting customer churn before valuable customers leave the business? Based on G2 reviews, churn prediction is most strongly associated with platforms that help teams identify at-risk users early enough to act. According to verified users, Pecan is repeatedly used for churn risk analysis, customer lifetime value, next-purchase prediction, and identifying high-value customers for more targeted outreach. G2 reviewers mention Amazon Forecast and Nixtla more often for demand and time-series forecasting, while Pecan stands out for customer-focused predictive use cases tied to retention and commercial action. Reviews suggest that churn tools are most valuable when they turn raw customer data into practical signals for sales, marketing, or customer teams, helping them focus on intervention before customers disengage. **Here are some of the top-rated products on G2:** - [Pecan](https://www.g2.com/products/pecan/reviews/pecan-review-11579534) – used for churn risk analysis and broader customer behavior prediction - [Amazon Forecast](https://www.g2.com/products/amazon-forecast/reviews/amazon-forecast-review-12255988) – supports planning with more reliable forecasts for resource and business decisions - [Nixtla](https://www.g2.com/products/nixtla/reviews/nixtla-review-11514059) – helps teams maintain high-quality forecasts with minimal model overhead ## G2 Grid® for Predictive Analytics Software ![G2 Grid® for Predictive Analytics Software plotting products by satisfaction and market presence](https://www.g2.com/categories/predictive-analytics/grids.png?focus%5B%5D=1213&focus%5B%5D=7788&focus%5B%5D=1327283&focus%5B%5D=6073&focus%5B%5D=612&focus%5B%5D=3558&focus%5B%5D=20158&focus%5B%5D=4350) Highlighted products: Tableau, Clari, SAS Viya, Google Cloud BigQuery, IBM Cognos Analytics, Adobe Analytics, Amazon QuickSight, and IBM SPSS Statistics. Underlying data: [Grid® JSON](https://www.g2.com/categories/predictive-analytics/grids.json?focus%5B%5D=tableau&focus%5B%5D=clari&focus%5B%5D=sas-sas-viya&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=adobe-analytics&focus%5B%5D=amazon-quicksight&focus%5B%5D=ibm-spss-statistics&segment=all) ## How Many Predictive Analytics Software Products Does G2 Track? **Total Products under this Category:** 298 ### Category Stats (Jul 2026) - **Average Rating**: 4.44/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Guidewheel (+1.29%) - Among all products in this category, Guidewheel recorded the largest rating increase compared to last month *Last updated: July 22, 2026* ## How Does G2 Rank Predictive Analytics Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 31,700+ Authentic Reviews - 298+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. --- **Sponsored** ### Alteryx Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=499&secure%5Bchosen_at%5D=2026-07-22T23%3A53%3A03Z&secure%5Bdisplayable_resource_id%5D=499&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=499&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=989&secure%5Bresource_id%5D=499&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=llm_category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fpredictive-analytics&secure%5Btoken%5D=80956b80d53fcafcf0af07f3a48ef895e30c359ce41642f17344eb97ebc442f4&secure%5Burl%5D=https%3A%2F%2Fwww.alteryx.com%2Ftrial%3Futm_source%3Dg2%26utm_medium%3Dreviewsite%26utm_campaign%3DFY25_Global_AllRegions_AlwaysOn_AllPersonas_IndustryAgnostic%26utm_content%3Dg2_freetrial&secure%5Burl_type%5D=free_trial) --- ## What Are the Top-Rated Predictive Analytics Software Products in 2026? ### 1. [Guidewheel](https://www.g2.com/products/guidewheel/reviews) Guidewheel is on a mission to empower all the world’s factories to reach sustainable peak performance. Inspired by the simple, universal truth that every machine on the factory floor has a power cord, our plug-and-play FactoryOps platform makes the power of the cloud accessible to any factory. Guidewheel clips onto any machine to turn its real-time “heartbeat” into a connected, actively learning system that empowers teams to reduce lost production time, increase throughput, and perform better and better over time. At Guidewheel we work with the factories that are the backbone of our economy, and you can have a real, on-the-ground impact right away. We have strong momentum and alignment around our mission, investor support, and a culture that values diversity, growth mindset, and results. And the tight link between our mission and our business model means that reaching more of the world’s 10 million factories accelerates our positive impact on the planet. With backing from Greycroft, Breakthrough Energy Ventures, and other top investors, we're opening up a number of exciting opportunities to lead and have a real, immediate impact on both our growing team and the factories that are the backbone of the economy. **Average Rating:** 4.7/5.0 **Total Reviews:** 11 **How Do G2 Users Rate Guidewheel?** - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 8.9/10) - **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) - **AI Text Generation:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Guidewheel?** - **Seller:** [Guidewheel](https://www.g2.com/sellers/guidewheel) - **Company Website:** https://go.guidewheel.com/oee - **Year Founded:** 2018 - **HQ Location:** San Francisco, US - **LinkedIn® Page:** https://www.linkedin.com/company/guidewheel (101 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 73% Mid-Market, 18% Enterprise #### What Are Guidewheel's Pros and Cons? **Pros:** - Customer Support (8 reviews) - Ease of Use (7 reviews) - Tracking (4 reviews) - Tracking Efficiency (4 reviews) - Automation (3 reviews) **Cons:** - Complex Usability (1 reviews) - Confusion (1 reviews) - Export Issues (1 reviews) - Poor Reporting (1 reviews) ### What Do G2 Reviewers Say About Guidewheel? *AI-generated summary from verified user reviews* **Pros:** - Users value the **excellent customer support** offered by Guidewheel, enhancing their experience and resolving issues efficiently. - Users find Guidewheel's **ease of use** and installation exceptional, enhancing their ability to track and interpret data effectively. - Users value the **remote tracking capabilities** of Guidewheel, enhancing operational efficiency and communication in their facilities. - Users highlight the **remote tracking efficiency** of Guidewheel, enhancing machine management and operational oversight seamlessly. - Users find the **automation capabilities** of Guidewheel invaluable for tracking, troubleshooting, and managing work assignments efficiently. **Cons:** - Users find the **complex usability** of Guidewheel challenging, with issues in order details and graphic report exports. - Users report **confusion** due to missing item descriptions and graphic reports lacking displayed values when printed or exported. - Users face **export issues** with Guidewheel, as graphic reports fail to show values when printed or exported. - Users express frustration over **poor reporting** , as item descriptions are missing and graphic reports lack visible graph values. #### What Are Recent G2 Reviews of Guidewheel? **"[Accessible, Cost-Effective OEE Data Without Complex PLC Integrations](https://www.g2.com/survey_responses/guidewheel-review-12993832)"** **Rating:** 5.0/5.0 stars *— Chase B.* [Read full review](https://www.g2.com/survey_responses/guidewheel-review-12993832) --- **"[Simple to Install, Cost-Effective, and Always Improving](https://www.g2.com/survey_responses/guidewheel-review-13021724)"** **Rating:** 5.0/5.0 stars *— T S.* [Read full review](https://www.g2.com/survey_responses/guidewheel-review-13021724) --- ### 2. [HyperAspect Cognitive Cloud](https://www.g2.com/products/hyperaspect-cognitive-cloud/reviews) HyperAspect Cognitive Cloud is an enterprise AI analytics and automation platform that empowers users to leverage big data to drive strategic, efficient decision-making across departments. We bring responsible AI and natural language processing into an organization's core processes with the required security compliance frameworks within data-intensive industries like healthcare, finance, insurance, legal, marketing, retail, professional digital services. **Average Rating:** 5.0/5.0 **Total Reviews:** 6 **How Do G2 Users Rate HyperAspect Cognitive Cloud?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) **Who Is the Company Behind HyperAspect Cognitive Cloud?** - **Seller:** [HyperAspect](https://www.g2.com/sellers/hyperaspect) - **Year Founded:** 2017 - **HQ Location:** Washinghton , US - **LinkedIn® Page:** https://bg.linkedin.com/company/hyperaspect (11 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Mid-Market, 33% Small-Business #### What Are HyperAspect Cognitive Cloud's Pros and Cons? **Pros:** - AI Capabilities (3 reviews) - AI Integration (3 reviews) - Cloud Computing (3 reviews) - Customer Support (3 reviews) - Easy Integrations (3 reviews) **Cons:** - Expensive (1 reviews) - Pricing Issues (1 reviews) ### What Do G2 Reviewers Say About HyperAspect Cognitive Cloud? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **AI-driven insights** of HyperAspect Cognitive Cloud, enhancing their data analysis experience effortlessly. - Users praise the **user-friendly AI integration** of HyperAspect Cognitive Cloud, making advanced data analysis accessible to all. - Users appreciate the **user-friendly design** of HyperAspect Cognitive Cloud, making AI accessible for all skill levels. - Users benefit from the **helpful customer support** that simplifies implementation and enhances productivity with HyperAspect Cognitive Cloud. - Users value the **easy integrations** of HyperAspect Cognitive Cloud for quick deployments and enhanced productivity. **Cons:** - Users find the **pricing expensive** , making it less accessible for smaller businesses seeking cognitive solutions. - Users find the **pricing issues** challenging, especially for smaller businesses looking to adopt HyperAspect Cognitive Cloud. #### What Are Recent G2 Reviews of HyperAspect Cognitive Cloud? **"[Very easy to work with](https://www.g2.com/survey_responses/hyperaspect-cognitive-cloud-review-10712175)"** **Rating:** 5.0/5.0 stars *— Atanas A.* [Read full review](https://www.g2.com/survey_responses/hyperaspect-cognitive-cloud-review-10712175) --- **"[Very user friendly and effective Cloud Computing solution](https://www.g2.com/survey_responses/hyperaspect-cognitive-cloud-review-10716137)"** **Rating:** 5.0/5.0 stars *— Viktor I.* [Read full review](https://www.g2.com/survey_responses/hyperaspect-cognitive-cloud-review-10716137) --- ### 3. [HyperSense AI](https://www.g2.com/products/hypersense-ai/reviews) HyperSense platform is an end-to-end augmented analytics platform that helps enterprises makes faster, better decisions by leveraging Artificial Intelligence (AI) across the data value chain. It contains all the next-gen data analytics capabilities enterprises need in one flexible and modular platform. HyperSense‘s unique no-code capabilities allow users without a knowledge of coding to easily aggregate data from disparate sources, turn data into insights by building, interpreting, and tuning AI models, and effortlessly share their findings across the organization. It uses enabling technologies such as machine learning and AI to assist with data preparation, insight generation, and insight explanation. It empowers experts as well as non-data scientists by automating many aspects of data science, including model development, management, and deployment of AI models. HyperSense also includes several pre-built analytics use cases in marketing, finance, and technology verticals for enterprises to deliver ultra-fast results. In addition, customers can use the HyperSense platform to build their own tailor-made, AI-powered analytics applications. **Average Rating:** 4.6/5.0 **Total Reviews:** 4 **How Do G2 Users Rate HyperSense AI?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) **Who Is the Company Behind HyperSense AI?** - **Seller:** [Subex](https://www.g2.com/sellers/subex) - **Year Founded:** 1992 - **HQ Location:** Westminster, US - **Twitter:** @Subex (5,503 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/subex-ltd/ (1,487 employees on LinkedIn®) - **Ownership:** NSE: SUBEXLTD **Who Uses This Product?** - **Company Size:** 75% Small-Business, 25% Mid-Market #### What Are HyperSense AI's Pros and Cons? **Pros:** - AI Capabilities (1 reviews) - AI Integration (1 reviews) - Analysis Efficiency (1 reviews) - Analytics (1 reviews) - Business Growth (1 reviews) **Cons:** - Cost Issues (1 reviews) - Deployment Issues (1 reviews) - Difficult Learning (1 reviews) - Expensive (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About HyperSense AI? *AI-generated summary from verified user reviews* **Pros:** - Users love how HyperSense AI's **accessible AI capabilities** empower non-experts to utilize advanced technology effortlessly. - Users value the **accessibility of AI** through HyperSense, enabling non-experts to leverage advanced technology effortlessly. - Users value the **real-time analytics** of HyperSense AI, which facilitates timely decision-making with ease. - Users value the **actionable insights** provided by HyperSense AI, enabling better business decisions through data utilization. - Users value the **business growth** facilitated by HyperSense AI through actionable insights and trend highlights for better decisions. **Cons:** - Users find that **deploying and scaling costs** of HyperSense AI can be prohibitive, particularly for smaller organizations. - Users express concern over **deployment issues** with HyperSense AI, particularly the high costs for smaller organizations. - Users find the **difficult learning curve** challenging when trying to utilize HyperSense AI's advanced predictive modeling features. - Users find the **pricing steep** , making it hard to justify for smaller projects or tight budgets. - Users find a **steeper learning curve** for advanced features, making full utilization challenging for many. #### What Are Recent G2 Reviews of HyperSense AI? **"[Sensing through Hypersense](https://www.g2.com/survey_responses/hypersense-ai-review-10497981)"** **Rating:** 4.5/5.0 stars *— Prateek Y.* [Read full review](https://www.g2.com/survey_responses/hypersense-ai-review-10497981) --- **"[HyperSense Al Turns Data Into Actionable Insights Fast](https://www.g2.com/survey_responses/hypersense-ai-review-12349182)"** **Rating:** 4.5/5.0 stars *— Md I.* [Read full review](https://www.g2.com/survey_responses/hypersense-ai-review-12349182) --- #### What Are G2 Users Discussing About HyperSense AI? - [What is HyperSense used for?](https://www.g2.com/discussions/what-is-hypersense-used-for) ### 4. [Hypersonix](https://www.g2.com/products/hypersonix/reviews) Hypersonix AI is a sophisticated solution tailored for the retail industry, designed to assist users in navigating the intricate landscape of competitor analysis, pricing strategies, promotional effectiveness, inventory management, and demand forecasting. By leveraging advanced algorithms specifically developed for the commerce industry, Hypersonix AI empowers retailers to make informed decisions that enhance their operational efficiency and market competitiveness. This product primarily serves retail merchants who seek to gain a deeper understanding of their market dynamics and optimize their business strategies to maximize product margins. With the retail environment becoming increasingly complex, the need for actionable intelligence is critical. Hypersonix AI serves as a vital tool for retailers looking to analyze their competitors' activities, understand pricing trends, and evaluate the effectiveness of their promotions. By harnessing the power of data, retailers can identify opportunities for growth and make strategic decisions that align with their business objectives. Key features of Hypersonix AI include real-time competitor analysis, dynamic pricing recommendations, and comprehensive inventory forecasting. The platform provides users with up-to-date intelligence into competitor pricing and promotional strategies, allowing retailers to adjust their own approaches accordingly. Additionally, the system offers predictive analytics that assists merchants in forecasting inventory needs based on historical data and market trends, ensuring they can meet customer demand without overstocking. The benefits of utilizing Hypersonix AI extend beyond just data analysis; it fosters a culture of data-driven decision-making within organizations. Retailers can accelerate their decision-making processes, enabling them to respond swiftly to market changes, capitalize on emerging trends and transform their commerce strategies. By maximizing profit margins and enhancing revenue growth, Hypersonix AI positions retailers to be more competitive in a fast-paced market environment. The integration of actionable insights from ProfitGPT further enriches the user experience, generating tailored GPT recommendations that align with specific business goals. In essence, Hypersonix AI stands out in the retail analytics category by offering a comprehensive suite of features that address the unique challenges faced by merchants. Its focus on actionable insights and advanced algorithms tailored for the commerce industry makes it an essential tool for retailers aiming to thrive in an increasingly competitive landscape. **Average Rating:** 4.8/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Hypersonix?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Hypersonix?** - **Seller:** [Hypersonix](https://www.g2.com/sellers/hypersonix) - **Year Founded:** 2018 - **HQ Location:** San Jose, US - **LinkedIn® Page:** https://www.linkedin.com/company/hypersonix-ai/ (110 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Retail - **Company Size:** 42% Mid-Market, 42% Small-Business #### What Are Recent G2 Reviews of Hypersonix? **"[VP of Marketing & Merchandising](https://www.g2.com/survey_responses/hypersonix-review-9509562)"** **Rating:** 5.0/5.0 stars *— Kim S.* [Read full review](https://www.g2.com/survey_responses/hypersonix-review-9509562) --- **"[Great product but even better customer service](https://www.g2.com/survey_responses/hypersonix-review-9791365)"** **Rating:** 4.5/5.0 stars *— Tyler C.* [Read full review](https://www.g2.com/survey_responses/hypersonix-review-9791365) --- ### 5. [Indicio](https://www.g2.com/products/indicio/reviews) Indicio's forecasting platform automates the latest forecasting models with just a click of a button. It handles the whole process, from data cleaning, adjusting for outliers and seasonal patterns, and variable selection (which factors to include in a forecasting model) to building and evaluating models, weighting models together based on performance for each time horizon, and scenario analysis to answer what-if questions. Indicio also supports multi-level forecasts, using information from all levels and reconciling the forecasts to align them and optimize them for accuracy. Models include: Time series models, econometric models, mixed frequency models, business cycle models, and product lifecycle models. Indicio also addresses the black box issue by incorporating layers of explainability, which makes the forecasts more transparent and easier to communicate across the organization. Indicio is fully integrated with data vendors, planning-, analytics and visualization tools, which enables organizations of any size, industry, or resource level to achieve improved business outcomes through accurate forecasting. **Average Rating:** 4.6/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Indicio?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Indicio?** - **Seller:** [Indicio Technologies](https://www.g2.com/sellers/indicio-technologies) - **Year Founded:** 2015 - **HQ Location:** Stockholm, Stockholm County, Sweden - **LinkedIn® Page:** https://www.linkedin.com/company/indicio-technologies (7 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 75% Enterprise #### What Are Indicio's Pros and Cons? **Pros:** - Customer Support (1 reviews) - Powerful Tools (1 reviews) ### What Do G2 Reviewers Say About Indicio? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **exceptional customer support** from Indicio, highlighting their dedication and willingness to assist effectively. - Users praise the **supportive team** of Indicio for their exceptional assistance in mastering powerful tools for research. #### What Are Recent G2 Reviews of Indicio? **"[Indicio: Transforms Forecasting with Ease](https://www.g2.com/survey_responses/indicio-review-12472436)"** **Rating:** 5.0/5.0 stars *— Lee E.* [Read full review](https://www.g2.com/survey_responses/indicio-review-12472436) --- **"[Amazing tool, amazing team](https://www.g2.com/survey_responses/indicio-review-11668501)"** **Rating:** 5.0/5.0 stars *— Kevin F.* [Read full review](https://www.g2.com/survey_responses/indicio-review-11668501) --- ### 6. [JADBio AutoML](https://www.g2.com/products/jadbio-automl/reviews) JADBio makes it easy and affordable for health-data analysts and life-science professionals to use data science to discover knowledge while reducing time and effort by combining a robust end-to-end machine learning platform with a wealth of capabilities, ranging from smart feature selection to the reuse of predictive models. JADBio’s healthcare purpose-built platform provides leading-edge AI tools and automation capabilities, enabling life-science professionals to build and deploy accurate and explainable predictive models with speed and ease, even if they have no data science expertise. The platform supports preprocessing and imputation of missing values; it selects the features and modeling, tunes for hyper-parameters, and effectively tests thousands of algorithmic configurations to identify the best ones to produce the final ML model. The platform estimates its predictive performance and produces a wealth of visualizations and reports. Customers have the ability to select multiple selected feature subsets that lead to equally predictive models, build their own advanced custom models using JADBio’s extensive content library, or take off the shelf models and customize them as their own. All produced models can be downloaded in executable form, applied to an external validation set, or run manually by feeding-in the observed value of the selected features. JADBio’s library contains thousands of algorithms and pre-built models that can predict common healthcare issues, but also novel features like causal discovery or survival prediction and other time-to-event outcomes. The pre-built elements and AutoML capabilities of JADBio provide a low-code option for health-data scientists, bioinformaticians, and organizations without internal data science expertise to analyze their health data easily and affordably. Meanwhile, the JADBio REST API allows for advanced users to leverage JADBio’s capabilities in their own applications or to automate their workflows and processes. By providing an end-to-end platform purpose-built for life-scientists, backed by research and development in Europe’s largest research centers, we allow customers to utilize their ever-growing biomedical data and put them into production within minutes. **Average Rating:** 5.0/5.0 **Total Reviews:** 4 **How Do G2 Users Rate JADBio AutoML?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) **Who Is the Company Behind JADBio AutoML?** - **Seller:** [GnosisDA](https://www.g2.com/sellers/gnosisda) - **Year Founded:** 2013 - **HQ Location:** Los Angeles, US - **Twitter:** @WeAreJADBio (335 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/jadbio (10 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Mid-Market, 40% Small-Business #### What Are Recent G2 Reviews of JADBio AutoML? **"[Experience related to JADBio AutoML](https://www.g2.com/survey_responses/jadbio-automl-review-8559568)"** **Rating:** 5.0/5.0 stars *— Md Junaid H.* [Read full review](https://www.g2.com/survey_responses/jadbio-automl-review-8559568) --- **"[Effective and Budget Friendly](https://www.g2.com/survey_responses/jadbio-automl-review-8542042)"** **Rating:** 5.0/5.0 stars *— Ramesh P.* [Read full review](https://www.g2.com/survey_responses/jadbio-automl-review-8542042) --- #### What Are G2 Users Discussing About JADBio AutoML? - [What is JADBio AutoML used for?](https://www.g2.com/discussions/what-is-jadbio-automl-used-for) ### 7. [Kleene](https://www.g2.com/products/kleene/reviews) Kleene.ai unifies your business data in one place to power real-time reporting, analytics, and AI-driven decisions. Go live in weeks, not months — without building a data team. Kleene.ai gives mid-market and enterprise businesses a single, intelligent platform to understand what drives growth. It connects to 200+ data sources — from CRMs and ERPs to marketing and finance tools — and automatically cleans, combines, and models your data for reporting, analytics, and forecasting. At the core of the platform is KAI: an AI-powered analytics layer that surfaces insights across your business, and a conversational AI assistant that lets teams query their data in plain language — no SQL, no analysts, no waiting. Whether you're investigating churn, margins, or customer lifetime value, KAI puts answers directly in the hands of the people who need them. Kleene.ai is built for organizations that want to make faster, data-driven decisions without the complexity of managing disparate tools or large engineering teams. Every implementation is tailored to your existing data environment — with transparent pricing and a clear path to value. Why Kleene: 1️⃣ Fast to implement — adapts to any data architecture and goes live in weeks, not months. 2️⃣ No engineering overhead — a fully managed platform that eliminates the need for a large data team, cutting infrastructure costs by up to 80%. 3️⃣ AI-powered from day one — KAI's analytics layer and LLM assistant turn complex data into clear, actionable answers across finance, marketing, and operations. 4️⃣ Tailored to your business — every setup aligns with your existing environment and goals, backed by transparent pricing and hands-on support. Kleene.ai replaces the fragmented, manual approach to data with a single platform that thinks alongside your team. The result: faster insights, sharper decisions, and measurable business impact. **Average Rating:** 4.6/5.0 **Total Reviews:** 29 **How Do G2 Users Rate Kleene?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 8.9/10) **Who Is the Company Behind Kleene?** - **Seller:** [kleene.ai](https://www.g2.com/sellers/kleene-ai) - **Company Website:** https://kleene.ai/ - **Year Founded:** 2017 - **HQ Location:** London, London - **Twitter:** @Kleene_ai (32 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/kleeneai/ (35 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 52% Mid-Market, 34% Small-Business #### What Are Kleene's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Automation (2 reviews) - Business Value (2 reviews) - Cost-Effective (2 reviews) - Customer Support (2 reviews) ### What Do G2 Reviewers Say About Kleene? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **ease of use** of Kleene, appreciating its intuitive interface and seamless onboarding process. - Users praise the **automation capabilities** of Kleene, significantly reducing manual reporting and streamlining data management. - Users value Kleene for its **efficient data handling and intuitive interface** , streamlining reporting and saving significant time. - Users praise Kleene for its **cost-effectiveness** , significantly reducing time spent on manual reporting and ensuring transparency in pricing. - Users commend Kleene's **exceptional customer support** , highlighting quick responses and knowledgeable assistance throughout their implementation process. #### What Are Recent G2 Reviews of Kleene? **"[Changed my life, love it!](https://www.g2.com/survey_responses/kleene-review-7138871)"** **Rating:** 5.0/5.0 stars *— Alisha S.* [Read full review](https://www.g2.com/survey_responses/kleene-review-7138871) --- **"[A partner who builds with you](https://www.g2.com/survey_responses/kleene-review-12919267)"** **Rating:** 5.0/5.0 stars *— Emil K.* [Read full review](https://www.g2.com/survey_responses/kleene-review-12919267) --- ### 8. [Kohort](https://www.g2.com/products/kohort/reviews) Ktrl is a UA optimization platform and agentic workflow built for mobile game studios. It uses ML-based cohort prediction to forecast LTV, predict campaign ROAS, and automate UA decisions, so you can scale your studio's UA spend with confidence instead of guessing. Connect your MMP (AppsFlyer, Adjust, Singular) and ad networks, and Ktrl starts forecasting up to D365 returns from day one. No manual analysis. No waiting 6 months for data to mature. Studios use it to: • Know which campaigns to scale before the cohort matures • Forecast budget and ROAS before committing spend • Run M&A due diligence with cohort-driven revenue models Used by mobile gaming studios including Tapnation, APPS, 52 Entertainment, Metamoki, Eneba and 50+ others. **Average Rating:** 4.7/5.0 **Total Reviews:** 3 **Who Is the Company Behind Kohort?** - **Seller:** [Kohort](https://www.g2.com/sellers/kohort) - **Year Founded:** 2018 - **HQ Location:** London, United Kingdom - **Twitter:** @kohort_io (34 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/kohort-io/ **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Kohort? **"[Great for UA Products with Long Break-Even Cycles and Flexible ROAS Recommendations](https://www.g2.com/survey_responses/kohort-review-12942865)"** **Rating:** 4.0/5.0 stars *— Trang H.* [Read full review](https://www.g2.com/survey_responses/kohort-review-12942865) --- **"[Easy UX, Smooth Integration, and Accurate AI Recommendations](https://www.g2.com/survey_responses/kohort-review-12943295)"** **Rating:** 5.0/5.0 stars *— Orhun Mert S.* [Read full review](https://www.g2.com/survey_responses/kohort-review-12943295) --- ### 9. [OpenOs](https://www.g2.com/products/openos/reviews) OpenOs is a no-code data & predictive analysis platform. It allows product & marketing teams to build prediction models, query their database, create dashboards & conduct engage in advanced data analysis techniques like clustering & time series forecasting, all via a natural language interface. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate OpenOs?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **AI Text Summarization:** 5.0/10 (Category avg: 8.1/10) - **Algorithms:** 6.7/10 (Category avg: 8.5/10) - **AI Text Generation:** 1.7/10 (Category avg: 8.1/10) **Who Is the Company Behind OpenOs?** - **Seller:** [OpenOs](https://www.g2.com/sellers/openos) - **Year Founded:** 2023 - **HQ Location:** Delaware, US - **LinkedIn® Page:** https://www.linkedin.com/company/openos/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are OpenOs's Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Easy Integrations (1 reviews) - Implementation Ease (1 reviews) - Intuitive (1 reviews) **Cons:** - Limited Features (1 reviews) - Missing Features (1 reviews) ### What Do G2 Reviewers Say About OpenOs? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** in OpenOs, thanks to its large community ensuring continuous improvement and support. - Users value the **easy integrations** of OpenOs, benefiting from a secure and continuously improving open-source community. - Users value the **implementation ease** of OpenOs due to its robust community support and transparent source code. - Users appreciate the **intuitive nature** of OpenOs, benefiting from its community-driven improvements and transparency in source code. **Cons:** - Users find OpenOs lacking in **features** , which limits its overall functionality and user experience. - Users feel that OpenOs lacks certain features, resulting in a **limited functionality** that affects user experience. #### What Are Recent G2 Reviews of OpenOs? **"[Great tool for Marketers](https://www.g2.com/survey_responses/openos-review-8403445)"** **Rating:** 5.0/5.0 stars *— Tarun R.* [Read full review](https://www.g2.com/survey_responses/openos-review-8403445) --- **"[Great software, backed by a hardworking team.](https://www.g2.com/survey_responses/openos-review-9484007)"** **Rating:** 4.0/5.0 stars *— Tarun S.* [Read full review](https://www.g2.com/survey_responses/openos-review-9484007) --- ### 10. [OpenText Data Discovery (Magellan)](https://www.g2.com/products/opentext-data-discovery-magellan/reviews) OpenText Magellan is a flexible AI and Analytics platform that combines open source machine learning with advanced analytics, enterprise-grade BI, and capabilities to acquire, merge, manage and analyze Big Data and Big Content stored in your Enterprise Information Management systems. Magellan enables machine-assisted decision making, automation, and business optimization. **Average Rating:** 4.2/5.0 **Total Reviews:** 5 **How Do G2 Users Rate OpenText Data Discovery (Magellan)?** - **Has the product been a good partner in doing business?:** 7.2/10 (Category avg: 8.9/10) - **Algorithms:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind OpenText Data Discovery (Magellan)?** - **Seller:** [OpenText](https://www.g2.com/sellers/opentext) - **Year Founded:** 1991 - **HQ Location:** Waterloo, ON - **Twitter:** @OpenText (21,565 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2709/ (23,048 employees on LinkedIn®) - **Ownership:** NASDAQ:OTEX **Who Uses This Product?** - **Company Size:** 40% Enterprise, 40% Mid-Market #### What Are OpenText Data Discovery (Magellan)'s Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Features (1 reviews) **Cons:** - Insufficient Learning Resources (1 reviews) - Insufficient Training (1 reviews) - Lack of Guidance (1 reviews) - Lack of Tutorials (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About OpenText Data Discovery (Magellan)? *AI-generated summary from verified user reviews* **Pros:** - Users find OpenText Data Discovery (Magellan) **easy to use** , effectively serving their data discovery needs with great features. - Users value the **unique features** of OpenText Data Discovery, finding it easy to use and highly effective. **Cons:** - Users struggle with a **slight learning curve** , indicating a need for improved training resources for effective usage. - Users feel there is a **learning curve due to insufficient training** , impacting effective and efficient use of the application. - Users note a **lack of guidance** in effectively using OpenText Data Discovery, highlighting a slight learning curve and need for training. - Users note a **lack of tutorials** , leading to a steep learning curve for effective use of OpenText Data Discovery. - Users experience a **slight learning curve** with OpenText Data Discovery, suggesting a need for improved training resources. #### What Are Recent G2 Reviews of OpenText Data Discovery (Magellan)? **"[Very good tool and excellent replacement for actuate](https://www.g2.com/survey_responses/opentext-data-discovery-magellan-review-4910116)"** **Rating:** 4.0/5.0 stars *— prateek r.* [Read full review](https://www.g2.com/survey_responses/opentext-data-discovery-magellan-review-4910116) --- **"[Good Alternative](https://www.g2.com/survey_responses/opentext-data-discovery-magellan-review-7632139)"** **Rating:** 4.0/5.0 stars *— Shaharyar A.* [Read full review](https://www.g2.com/survey_responses/opentext-data-discovery-magellan-review-7632139) --- #### What Are G2 Users Discussing About OpenText Data Discovery (Magellan)? - [What is OpenText Integration Center?](https://www.g2.com/discussions/what-is-opentext-integration-center) - [What is Magellan AI?](https://www.g2.com/discussions/what-is-magellan-ai) - [What is Magellan data?](https://www.g2.com/discussions/what-is-magellan-data) ### 11. [PreCrime Defense](https://www.g2.com/products/precrime-defense/reviews) PreCrime™ Defense is a preemptive scam, fraud, and impersonation protection solution that can prevent account takeover and credit card or credential stealing from customers’ customers, or protect our customers’ suppliers from being attacked in email compromises. This mitigates fraud, reputational harm risk from negative brand damage, or customer credential stealing. PreCrime Defense identifies a malicious infrastructure only minutes after its creation, puts a network disruption in place within minutes of identification, and requests action to various takedown operators, who subsequently disturb DNS resolution or content removal, resulting in infrastructure takedown. BforeAI’s privileged access to takedown operators (including domain and DNS, content, industry alliances for abuse and malware prevention, law enforcement agencies, and independent response bodies) ensures malicious infrastructure is promptly removed. Our predictive technology is so effective that more than 80% of our takedowns are completed before there’s content on the infrastructure. BforeAI’s disruption partners, including VirusTotal, Quad9, Spamhaus, and Google Safe Browsing, subsequently put the identified malicious domain in a DNS resolution blocklist. Within 10 minutes on average, up to 75% of the traffic to the malicious infrastructure is already blocked. A step-by-step breakdown of how PreCrime works: Data Collection and Pre-processing PreCrime begins by collecting multiple network data points from thousands of sensors deployed across 98% of the surface internet. The tool observes more than 1 billion infrastructures and 500 million domains on a continuous basis – of them, 500,000 are created every day. Data is collected between 5 to 10 times per hour which enables observing any changes on a continuous and precise basis. This data is then preprocessed to remove noise and irrelevant information, ensuring that only meaningful interactions are considered. In total, PreCrime collects several terabytes of data on a daily basis. Graph Construction and Feature Extraction Next, PreCrime constructs a graph from the preprocessed data. Features such as query frequency, temporal patterns, and resolution paths are extracted and incorporated into the graph. Over 400 billion behaviors and edges are mapped in the graph database. These features provide a detailed view of domain interactions, which is crucial for accurate inference. Application of Graph Inference Techniques PreCrime applies various graph inference techniques to analyze the constructed graph. Four billion malicious behaviors are mapped in PreCrime. Community detection algorithms identify clusters of domains that exhibit similar behavior, while anomaly detection algorithms highlight nodes with abnormal patterns. Link prediction algorithms are used to forecast potential future connections, helping to identify emerging threats. Identification and Mitigation: Disruption and Takedown PreCrime re-scores over 20 million suspicious infrastructures on a daily average out of which it predicts 100,000 future attack infrastructures. Based on the results of the graph inference analysis, PreCrime detects infrastructures that exhibit characteristics of malicious behavior. They are flagged for further investigation and mitigation. PreCrime's preemptive approach ensures that potential threats are identified and neutralized before they can cause harm. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate PreCrime Defense?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) **Who Is the Company Behind PreCrime Defense?** - **Seller:** [BforeAI](https://www.g2.com/sellers/bforeai) - **Year Founded:** 2020 - **HQ Location:** New York, New York, United States - **LinkedIn® Page:** https://www.linkedin.com/company/bforeai (81 employees on LinkedIn®) - **Ownership:** Privately owned **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are PreCrime Defense's Pros and Cons? **Pros:** - Automation (2 reviews) - Efficiency (2 reviews) - Features (2 reviews) - Business Growth (1 reviews) - Content Management (1 reviews) **Cons:** - Slow Loading (1 reviews) - UX Improvement (1 reviews) ### What Do G2 Reviewers Say About PreCrime Defense? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **automation features** of PreCrime Defense, allowing more client focus and efficient threat management. - Users appreciate the **efficiency** of PreCrime Defense, allowing more client focus by automating threat management and alerts. - Users value the **automated threat detection** of PreCrime Defense, enhancing client service with fewer alerts and effective protection. - Users benefit from **streamlined client service** with PreCrime Defense, enjoying reduced alerts and enhanced efficiency. - Users value the **pre-filtered alerts** from PreCrime Defense, which automate brand protection and save time effectively. **Cons:** - Users notice occasional **slow loading** times during peak traffic, which can be frustrating for seamless usage. - Users note some **minor imperfections in the UI** , but the team is actively addressing these issues. #### What Are Recent G2 Reviews of PreCrime Defense? **"[Brand protection on auto-pilot](https://www.g2.com/survey_responses/precrime-defense-review-10928040)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer & Network Security* [Read full review](https://www.g2.com/survey_responses/precrime-defense-review-10928040) --- **"[First truly preemptive brand protection software](https://www.g2.com/survey_responses/precrime-defense-review-10891470)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/precrime-defense-review-10891470) --- ### 12. [Predelo](https://www.g2.com/products/predelo/reviews) Predelo is an AI-powered Decision Agent-as-a-Service solution designed to revolutionize workforce management for shift-based businesses. By integrating real-time and historical data, Predelo automates and optimizes scheduling tasks, ensuring they are fair and aligned with demand at granular levels, such as individual stores or departments. Key Features and Functionality: - Adaptive Forecasting: Utilizes AI models to predict labor needs by analyzing real-time and historical data, enabling precise demand forecasting. - Automated Decision-Making: Removes the cognitive burden of scheduling by automating repetitive tasks, allowing leaders to focus on performance rather than administrative duties. - One-Click Integrations: Seamlessly integrates with existing tools and platforms, facilitating easy adoption and minimal disruption to current workflows. - Decision Engine: Operates in the background to self-optimize scheduling tasks, ensuring fairness and alignment with business objectives. Primary Value and Solutions Provided: Predelo addresses the complexities of managing shift-based workforces by automating scheduling processes, thereby improving profitability, reducing compliance risks, and simplifying day-to-day operations. By leveraging AI-driven insights, businesses can enhance operational efficiency, reduce costs, and improve customer satisfaction. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Predelo?** - **AI Text Summarization:** 7.5/10 (Category avg: 8.1/10) - **Algorithms:** 8.3/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Predelo?** - **Seller:** [Predelo](https://www.g2.com/sellers/predelo) - **Year Founded:** 2022 - **HQ Location:** Sydney, AU - **Twitter:** @PredeloHQ (514 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/predelo/ (16 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Predelo? **"[What's most impressive about Predelo is its focus on customization](https://www.g2.com/survey_responses/predelo-review-9477455)"** **Rating:** 4.5/5.0 stars *— Luis Carlos M.* [Read full review](https://www.g2.com/survey_responses/predelo-review-9477455) --- **"[Automation Excellence: Predelo's AI Enhances Revenue Streams](https://www.g2.com/survey_responses/predelo-review-9491814)"** **Rating:** 4.5/5.0 stars *— Preeti S.* [Read full review](https://www.g2.com/survey_responses/predelo-review-9491814) --- ### 13. [Predicsis](https://www.g2.com/products/predicsis/reviews) A self-serve software to help you discover actionable insights. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **Who Is the Company Behind Predicsis?** - **Seller:** [Predicsis](https://www.g2.com/sellers/predicsis) - **Year Founded:** 2013 - **HQ Location:** Lannion, FR - **LinkedIn® Page:** https://www.linkedin.com/company/5051959 (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Predicsis? **"[Best sale analytics & Optimization tool](https://www.g2.com/survey_responses/predicsis-review-8767403)"** **Rating:** 4.5/5.0 stars *— Pankaj G.* [Read full review](https://www.g2.com/survey_responses/predicsis-review-8767403) --- **"[Best analytical tool to grow your business](https://www.g2.com/survey_responses/predicsis-review-8819663)"** **Rating:** 4.5/5.0 stars *— rohan p.* [Read full review](https://www.g2.com/survey_responses/predicsis-review-8819663) --- ### 14. [PredictHQ](https://www.g2.com/products/predicthq/reviews) PredictHQ is the real-world context platform powering smarter AI, forecasting, and operational decisions. We transform global events into impact-ranked, location-specific demand intelligence, with prebuilt machine learning features and out-of-the-box forecasts. Beam, our patented Relevancy Engine, filters out noise and surfaces the real-world demand drivers that matter to your specific business and locations. Delivered via API and MCP, PredictHQ integrates directly into your models and workflows so teams can predict demand shifts earlier and act with confidence. From sports and concerts to public holidays and severe weather, we turn real-world volatility into measurable competitive advantage. **Average Rating:** 4.0/5.0 **Total Reviews:** 2 **Who Is the Company Behind PredictHQ?** - **Seller:** [PredictHQ](https://www.g2.com/sellers/predicthq) - **Year Founded:** 2015 - **HQ Location:** San Francisco, US - **Twitter:** @PredictHQ (1,152 Twitter followers) - **LinkedIn® Page:** https://linkedin.com/company/predicthq (51 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 50% Small-Business #### What Are Recent G2 Reviews of PredictHQ? **"[Predicting local Events](https://www.g2.com/survey_responses/predicthq-review-7964539)"** **Rating:** 5.0/5.0 stars *— Verified User in Food & Beverages* [Read full review](https://www.g2.com/survey_responses/predicthq-review-7964539) --- ### 15. [Prevedere](https://www.g2.com/products/prevedere-prevedere/reviews) Prevedere's platform includes global data and patented AI engine to build econometric models at scale **Average Rating:** 3.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Prevedere?** - **AI Text Summarization:** 6.7/10 (Category avg: 8.1/10) - **Algorithms:** 8.3/10 (Category avg: 8.5/10) - **AI Text Generation:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Prevedere?** - **Seller:** [Prevedere](https://www.g2.com/sellers/prevedere) - **Year Founded:** 1994 - **HQ Location:** Boston, US - **LinkedIn® Page:** https://www.linkedin.com/company/board (924 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of Prevedere? **"[A well established business](https://www.g2.com/survey_responses/prevedere-review-9192270)"** **Rating:** 4.0/5.0 stars *— Shashidhar K.* [Read full review](https://www.g2.com/survey_responses/prevedere-review-9192270) --- ### 16. [Seqwa](https://www.g2.com/products/seqwa/reviews) Seqwa is a low-cost, easy-to-use hosted search platform for solving your critical search requirements. It supports three uniquely beneficial functions: Autocomplete (query suggestions and top full-text search results), Search (Full-text Search with semantic ranking for intent), and Semantic Search (Intent-driven search). Work with one or all the functions based on your needs. Set up a functional search utility in minutes: upload your data, generate API keys, publish a demo user interface, and search! Enjoy a seamless search experience supported by a highly available and scalable cloud infrastructure. **Average Rating:** 4.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Seqwa?** - **Algorithms:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Seqwa?** - **Seller:** [Seqwa](https://www.g2.com/sellers/seqwa) - **Year Founded:** 2018 - **HQ Location:** Hyderabad, IN - **LinkedIn® Page:** https://www.linkedin.com/company/kalyankaranalytics (5 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of Seqwa? **"[Enhanced the global search capabilities](https://www.g2.com/survey_responses/seqwa-review-9862682)"** **Rating:** 4.0/5.0 stars *— Emaar S.* [Read full review](https://www.g2.com/survey_responses/seqwa-review-9862682) --- **"[Seqwa search](https://www.g2.com/survey_responses/seqwa-review-9812666)"** **Rating:** 4.0/5.0 stars *— Joseph O.* [Read full review](https://www.g2.com/survey_responses/seqwa-review-9812666) --- ### 17. [Signals Analytics](https://www.g2.com/products/signals-analytics/reviews) Signals Analytics is a predictive analytics platform built to help leading brands gain on-demand competitive consumer insights from trillions of external data points. Our journey began in 2009, when two Israeli military intelligence officers with decades of combined experience in utilizing open source (OSINT), signals (SIGINT), and human (HUMINT) intelligence to enable covert operations, realized that these same concepts, processes, and technologies deployed in the battlefield could be utilized to make better decisions in the boardroom. We are now a 130-person strong company headquartered and growing in New York, with an office in Israel. We've created a next-generation advanced analytics platform that is used by many of the world’s leading pharmaceutical and consumer brands for optimizing their product portfolios, accelerating new product development, and propelling breakthrough innovations. We are unique in our ability to connect disparate external data sources, continually refresh the data and allow our customers to configure the platform to meet their needs, so the outputs are timely, accurate, actionable, and relevant to their business. **Average Rating:** 3.8/5.0 **Total Reviews:** 2 **Who Is the Company Behind Signals Analytics?** - **Seller:** [Signals Analytics](https://www.g2.com/sellers/signals-analytics) - **HQ Location:** San Francisco, California, United States - **Twitter:** @SignalsAnalytic (2,757 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/skaicommerce (703 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of Signals Analytics? **"[Signals Analytics review](https://www.g2.com/survey_responses/signals-analytics-review-7423486)"** **Rating:** 4.5/5.0 stars *— Parth G.* [Read full review](https://www.g2.com/survey_responses/signals-analytics-review-7423486) --- ### 18. [Trayo AI](https://www.g2.com/products/trayo-ai/reviews) Trayo is signal infrastructure for revenue teams. It pulls in buying signals from across the web, social, proprietary data, and other systems, and tells reps what actually matters and what to do about it. Most signal tools stop at delivery. They flood your team with alerts and leave it to reps to figure out which ones are worth acting on. Trayo works differently. It runs every signal through a reasoning layer that evaluates how important the signal is, analyzes what it means for the account, and recommends a specific next step. So instead of more noise, reps get a clear action they can take right now. Trayo is built for sales-led companies where reps are managing a lot of accounts and can't afford to miss the moments that move deals forward. If your team is drowning in data but still missing the signals that matter, that's the problem Trayo solves. **Average Rating:** 4.8/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Trayo AI?** - **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10) - **AI Text Generation:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Trayo AI?** - **Seller:** [Trayo](https://www.g2.com/sellers/trayo) - **Year Founded:** 2025 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/trayoai/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Recent G2 Reviews of Trayo AI? **"[Accurate Alerts, Custom Messaging, and Helpful Integrations](https://www.g2.com/survey_responses/trayo-ai-review-12638764)"** **Rating:** 5.0/5.0 stars *— Cristina B.* [Read full review](https://www.g2.com/survey_responses/trayo-ai-review-12638764) --- **"[Helps raise the bar of every rep](https://www.g2.com/survey_responses/trayo-ai-review-12846680)"** **Rating:** 4.5/5.0 stars *— Yarden S.* [Read full review](https://www.g2.com/survey_responses/trayo-ai-review-12846680) --- ### 19. [Trendskout](https://www.g2.com/products/trendskout/reviews) Automate your Business with ready to use Machine Learning **Average Rating:** 3.0/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Trendskout?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **Algorithms:** 5.8/10 (Category avg: 8.5/10) **Who Is the Company Behind Trendskout?** - **Seller:** [Trendskout](https://www.g2.com/sellers/trendskout) - **Year Founded:** 2019 - **HQ Location:** Ghent, BE - **LinkedIn® Page:** https://www.linkedin.com/company/trendskout (17 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise ### 20. [Wipro Data Discovery Platform](https://www.g2.com/products/wipro-data-discovery-platform/reviews) Extract deep insights from data with Wipro’s Data Discovery Platform (DDP) and use sophisticated techniques such as visual sciences and storytelling to simplify interpretation and decision-making. The core of the platform brings together the Wipro HOLMES Artificial Intelligence PlatformTM and stream computing to deliver wide-ranging insights such as preventive action for customer attrition, predictive maintenance of assets to minimize downtime and practices to reinforce online reputation. **Average Rating:** 4.8/5.0 **Total Reviews:** 2 **Who Is the Company Behind Wipro Data Discovery Platform?** - **Seller:** [Wipro](https://www.g2.com/sellers/wipro) - **Year Founded:** 1945 - **HQ Location:** Bangalore - **Twitter:** @Wipro (513,142 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1318/ (254,638 employees on LinkedIn®) - **Ownership:** WIT **Who Uses This Product?** - **Company Size:** 50% Enterprise, 50% Mid-Market #### What Are Wipro Data Discovery Platform's Pros and Cons? **Pros:** - Data Visualization (1 reviews) - Ease of Understanding (1 reviews) - Interface Design (1 reviews) - User Interface (1 reviews) **Cons:** - Missing Functionality (1 reviews) - Performance Issues (1 reviews) ### What Do G2 Reviewers Say About Wipro Data Discovery Platform? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **unique interface** that simplifies data exploration and visualization for everyone, regardless of technical knowledge. - Users commend the **unique interface** of Wipro Data Discovery Platform, making data exploration accessible for all knowledge levels. - Users love the **unique interface** of Wipro Data Discovery Platform, simplifying data exploration for all skill levels. - Users appreciate the **unique interface** of Wipro Data Discovery Platform, making data exploration easy for all skill levels. **Cons:** - Users note **missing functionality** due to performance issues with large data and complex feature requirements. - Users experience **performance issues** with large data sets, alongside a requirement for advanced data science knowledge for some features. #### What Are Recent G2 Reviews of Wipro Data Discovery Platform? **"[Innovative and scalable](https://www.g2.com/survey_responses/wipro-data-discovery-platform-review-5231559)"** **Rating:** 4.5/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/wipro-data-discovery-platform-review-5231559) --- **"[Review of my exploration on Wipro Data Discovery Platform.](https://www.g2.com/survey_responses/wipro-data-discovery-platform-review-10331364)"** **Rating:** 5.0/5.0 stars *— Parshu N.* [Read full review](https://www.g2.com/survey_responses/wipro-data-discovery-platform-review-10331364) --- #### What Are G2 Users Discussing About Wipro Data Discovery Platform? - [What is Wipro Data Discovery Platform used for?](https://www.g2.com/discussions/what-is-wipro-data-discovery-platform-used-for) ### 21. [Yokozuna Data](https://www.g2.com/products/yokozuna-data/reviews) YOKOZUNA data, a state-of-the-art machine learning engine that predicts the behavior of each individual user **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Yokozuna Data?** - **Algorithms:** 6.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Yokozuna Data?** - **Seller:** [Yokozuna Data](https://www.g2.com/sellers/yokozuna-data) - **Year Founded:** 2017 - **HQ Location:** Tokyo, JP - **LinkedIn® Page:** https://www.linkedin.com/company/yokozunadata/ (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of Yokozuna Data? **"[Navigating Yokozuna Data: Pros, Cons, and Key Features](https://www.g2.com/survey_responses/yokozuna-data-review-9801480)"** **Rating:** 4.5/5.0 stars *— Adam K.* [Read full review](https://www.g2.com/survey_responses/yokozuna-data-review-9801480) --- **"[Powerful and Ideal Prediction Solution for Users.](https://www.g2.com/survey_responses/yokozuna-data-review-9832687)"** **Rating:** 4.5/5.0 stars *— Annalisa C.* [Read full review](https://www.g2.com/survey_responses/yokozuna-data-review-9832687) --- ### 22. [20:20 RDI Predictive Analytics](https://www.g2.com/products/20-20-rdi-predictive-analytics/reviews) A uniquely tailorable predictive model, using machine learning to optimize the store segmentation for developing markets with incomplete store sales data. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate 20:20 RDI Predictive Analytics?** - **AI Text Summarization:** 8.3/10 (Category avg: 8.1/10) - **Algorithms:** 6.7/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind 20:20 RDI Predictive Analytics?** - **Seller:** [20:20 Retail Data Insight](https://www.g2.com/sellers/20-20-retail-data-insight) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Recent G2 Reviews of 20:20 RDI Predictive Analytics? **"[" Reviewing as per what I experienced "](https://www.g2.com/survey_responses/20-20-rdi-predictive-analytics-review-8730810)"** **Rating:** 4.0/5.0 stars *— Ranjana D.* [Read full review](https://www.g2.com/survey_responses/20-20-rdi-predictive-analytics-review-8730810) --- ### 23. [AirFusion](https://www.g2.com/products/airfusion/reviews) AirFusion develops AI-driven software solutions for infrastructure monitoring. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind AirFusion?** - **Seller:** [AirFusion](https://www.g2.com/sellers/airfusion) - **Year Founded:** 2013 - **HQ Location:** Lincoln, US - **LinkedIn® Page:** https://www.linkedin.com/company/9452501 (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of AirFusion? **"[Review the application based on my experience.](https://www.g2.com/survey_responses/airfusion-review-4310035)"** **Rating:** 5.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/airfusion-review-4310035) --- #### What Are G2 Users Discussing About AirFusion? - [What is AirFusion used for?](https://www.g2.com/discussions/what-is-airfusion-used-for) ### 24. [Arimo BAI](https://www.g2.com/products/arimo-bai/reviews) Arimo is an artificial intelligence software. Arimo's machine learning algorithms, powerful big-compute platform, and data management deliver predictive apps for business users, data scientists and IT. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Arimo BAI?** - **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) - **AI Text Generation:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Arimo BAI?** - **Seller:** [Arimo](https://www.g2.com/sellers/arimo) - **Year Founded:** 2013 - **HQ Location:** Mountain View - **Twitter:** @arimoinc (3,679 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/arimo-inc-/about (5 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Arimo BAI? **"[Arimo BAI :The Knowledgeable One](https://www.g2.com/survey_responses/arimo-bai-review-8746759)"** **Rating:** 5.0/5.0 stars *— Anil k.* [Read full review](https://www.g2.com/survey_responses/arimo-bai-review-8746759) --- ### 25. [BigML](https://www.g2.com/products/bigml/reviews) Enjoy the power of Programmatic Machine Learning **Average Rating:** 4.7/5.0 **Total Reviews:** 24 **How Do G2 Users Rate BigML?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10) - **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) - **AI Text Generation:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind BigML?** - **Seller:** [BigML](https://www.g2.com/sellers/bigml) - **Year Founded:** 2011 - **HQ Location:** Corvallis, OR - **Twitter:** @bigmlcom (6,077 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1742510 (30 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Senior Software Engineer, Software Engineer - **Top Industries:** Computer Software - **Company Size:** 88% Small-Business, 8% Mid-Market #### What Are Recent G2 Reviews of BigML? **"[My Experience about BigML](https://www.g2.com/survey_responses/bigml-review-8076641)"** **Rating:** 4.5/5.0 stars *— Siddharth S.* [Read full review](https://www.g2.com/survey_responses/bigml-review-8076641) --- **"[Machine Learning Platform with cloud based for Data processing](https://www.g2.com/survey_responses/bigml-review-8031197)"** **Rating:** 4.5/5.0 stars *— Nitin Y.* [Read full review](https://www.g2.com/survey_responses/bigml-review-8031197) --- ## What Is Predictive Analytics Software? [Analytics Tools & Software](https://www.g2.com/categories/analytics-tools-software) ## What Software Categories Are Similar to Predictive Analytics Software? - [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) - [Embedded Business Intelligence Software](https://www.g2.com/categories/embedded-business-intelligence) - [Marketing Analytics Software](https://www.g2.com/categories/marketing-analytics) - [Machine Learning Software](https://www.g2.com/categories/machine-learning) - [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) - [Statistical Analysis Software](https://www.g2.com/categories/statistical-analysis) - [Time Series Intelligence Software](https://www.g2.com/categories/time-series-intelligence) --- ## How Do You Choose the Right Predictive Analytics Software? ### What You Should Know About Predictive Analytics Software ### What are predictive analytics tools and software? Predictive analytics software is all about making business outcomes predictable. Data scientists and data analysts can do this by using data mining and predictive modeling to analyze historical data. By better understanding the past, businesses can gain insights into the future. [Predictive analytics](https://www.g2.com/articles/predictive-analytics) is a step further than general [business intelligence](https://www.g2.com/glossary/business-intelligence-definition), which companies use to pull actionable insights from their data sets. Instead, users can develop [machine learning algorithms](https://www.g2.com/articles/what-is-machine-learning) and predictive models to help forecast and achieve business-critical numbers. The reason businesses can hit those critical numbers and become more predictive is due to the boom of big data. Companies can harness their data like never before. By recording and owning more and more historical and real-time data, data scientists have larger sample sizes to work with, meaning they can be much more accurate. Additionally, companies investing in predictive analytics without ensuring that their data is accurate, clean, and accessible will ultimately be wasting their time. However, those who can wrangle their data properly will create a significant competitive edge and hold an advantage in the market. ### Benefits of using predictive analytics tools - Accurately predict and forecast revenue numbers based on a wide range of variables - Understand and account for customer churn and retention - Predict employee churn based on historical factors for turnover - Make more precise, data-driven decisions in all departments based on available data - Determine both risks and opportunities that were otherwise hidden within company data ### Why use predictive analytics solutions? There are a number of applications for predictive analytics software and reasons businesses should adopt them, but they all boil down to understanding what has happened in the past, what could happen in the future, and what should be done to ensure positive business outcomes. These are considered [descriptive analytics, predictive analytics, and prescriptive analytics](https://www.g2.com/articles/types-of-data-analytics). **Descriptive Analytics (understanding the past) —** Descriptive analytics deals with understanding what has happened in the past and how it has influenced where a business is in the present. This means undergoing data mining on a company’s historical data. This type of analysis can be obtained by using business intelligence tools, big data analytics, or time-series data. Regardless of how it is attained, providing descriptive analytics is a key foundation of predictive analytics and creating data-driven decision-making processes. It requires thorough data preparation and organizing the data for easy descriptive analysis. **Predictive Analytics (knowing what is possible) —** Predictive analytics allows users and businesses to know and anticipate potential outcomes. Building predictive models based on descriptive analysis can ensure that businesses do not make the same mistake twice. It can also provide more accurate forecasting and planning, which helps to optimize efficiency. Ultimately, this analysis makes the unknown known. **Prescriptive Analytics (so now what?) —** The final step and ultimate reason for using predictive analytics tools is to make clear actions based on the suggestions and recommendations of the predictive models. This is where machine learning and deep learning functionality come into play. Some predictive analytics solutions can provide actionable insights without human intervention. For example, it can provide a short list of sales accounts that should close quickly based on several variables. Becoming prescriptive takes analytics a step further and is the ultimate reason for adopting advanced, predictive analytics. ### Who uses predictive analytics platforms? To fully take advantage of predictive analytics platforms, businesses need to hire highly skilled data scientists with knowledge in machine learning development and predictive modeling. These skilled workers are not abundant, so they are often paid very well. Dedicating financial resources to these positions may not be an option for every company, but those who can afford data scientists have a leg up on the competition. While data scientists or data analysts are the employees tasked with using predictive analytics software, there are many industries and departments that can be impacted by using predictive analytics: **Manufacturing and Supply Chain—** One area that can be greatly enhanced by using predictive analysis is demand planning for manufacturing companies. With more accurate forecasting, businesses can avoid risks like shortages and surpluses. Additionally, companies can become predictive about quality management and production issues. By analyzing what has caused production failures in the past, companies can anticipate and avoid production breakdowns in the future. Distribution is another major aspect of the supply chain that can be further optimized with predictive modeling. By better estimating where goods will need to be delivered and the risks that may hold up distribution modes, businesses can provide better service and more efficiently deliver their products to customers. Taking into account historical data, such as weather, traffic, and accident records, shipping can become a more precise science. **Retail —** Retail is another industry that is ripe for optimization with the help of predictive analytics. Retail predictive analytics can provide businesses with insights on everything from pricing optimization to understanding how shoppers navigate brick-and-mortar stores for better in-store organization of merchandise. E-commerce businesses can track these factors in a much more efficient manner. All e-commerce interactions can be recorded into a database and influenced by predictive models. This is one of the main reasons Amazon has been so successful and disruptive to brick-and-mortar retailers. Every decision can be made predictive with the help of data. **Marketing and Sales —** Being able to predict the actions of customers and prospects is an invaluable service for any business. Marketing teams can leverage predictive analytics software to project how marketing campaigns may perform, which segment of prospects to target with ads, and the potential conversion rates of each campaign. Understanding how these efforts impact the bottom line is critical to the success of marketing teams and translates into a much more efficient and productive sales team. At the same time, sales teams can leverage predictive modeling in such areas as lead scoring, determining which accounts to target first because they have a higher chance of closing. Ensuring that sales representatives are working smarter instead of harder means more revenue. A few [CRM](https://www.g2.com/categories/crm) and [marketing automation solutions](https://www.g2.com/categories/marketing-automation) provide some level of predictive functionality, but data scientists can separately funnel that data into dedicated predictive analytics tools to find cross-departmental correlations. **Financial Services—** The banking industry has long been ripe for disruption, but financial administrations are using predictive analytics solutions to better predict risk. Historical data can power predictive analytics software to predict fraudulent transactions and determine credit risks, among other functions. ### Types of predictive analytics software Predictive modeling is a complex science that requires years of training to understand. There is a reason data scientists are in high demand: not many people have a complete grasp of how to build predictive models. There are two main types of predictive models: classification and regression models. **Classification Models—** Simply put, classification puts a piece of data into a bucket or a class and labels it as such. Classification models essentially label data based on what an algorithm has already learned. The ultimate goal of classification models is to accurately bucket new data points into the proper classes so that the data can become predictive and prescriptive. **Regression Models—** Regression models analyze the relationship between two separate data points and help forecast what happens when they are placed side by side. For example, in baseball, teams may perform a regression analysis on the relationship between the number of fastballs thrown and the number of home runs hit. **Decision Trees —** One common type of classification model is a decision tree. These models predict several possible outcomes based on a variety of inputs. For example, if a sales team builds $1 million in a pipeline, they can close $100,000 in revenue, but if they create $10 million in a pipeline, they should be able to close $1 million in revenue. **Neural Networks—** Neural networks, known in the AI world as artificial neural networks, are extremely complex predictive models. These models can predict and analyze unstructured, nonlinear relationships between data points. These solutions provide pattern recognition and can help track anomalies. Artificial neural networks were originally created and built to mimic the synapses and neural aspects of the human brain. They are one of the contributing factors to the accelerated growth in artificial intelligence and deep learning. Other types of predictive modeling include Bayesian analysis, memory-based reasoning, k-nearest neighbor, support vector machines, and time-series data mining. ### Potential issues with predictive analytics software solutions **Lack of Skilled Employees—** The main issue with adopting predictive analytics software is the need for a skilled data scientist to interact with the data and build the models. There is a distinct skill gap in terms of finding users who understand how to pull data and build models and the implications that the data has on the overall business. For this reason, data scientists are in very high demand and, thus, expensive. **Data Organization—** Many companies face the challenge of organizing data so that it can be easily accessed. Harnessing big data sets that contain historical and real-time data is not easy in today's world. Companies often need to build a data warehouse or a data lake that can combine all the disparate data sources for easy access. This, again, requires highly knowledgeable employees. ### Software and services related to predictive analytics tools Predictive analytics software relates to many other analytics and [artificial intelligence software](https://www.g2.com/categories/artificial-intelligence) categories. [**Machine Learning Software**](https://www.g2.com/categories/machine-learning) **—** Machine learning algorithms are a key component of building effective predictive models. Many machine learning algorithms are built to provide recommendations or suggestions, which is also the end goal of predictive analytics software. Developers use these tools to embed machine learning inside applications, often to provide predictive and prescriptive analysis. [**Business Intelligence Platforms**](https://www.g2.com/categories/business-intelligence) **—** These tools are the traditional analytics solutions used to understand a company’s data. Data analysts use BI platforms to visualize and understand how specific actions impact business-critical initiatives. Some of these platforms offer predictive features, but their core purpose is not predictive modeling. [**Big Data Analytics**](https://www.g2.com/categories/big-data-analytics) **—** Big data analytics software, like business intelligence platforms, often provides predictive modeling functionality. However, these solutions are used more to track real-time data than to understand historical data. Big data analytics software connects to Hadoop or proprietary Hadoop distributions to better understand structured and unstructured data. These same data sources may be important for data scientists who are tasked with building predictive models.