Top Free Data Science and Machine Learning Platforms - Page 3

How Many Data Science and Machine Learning Platforms Products Does G2 Track?

Total Products under this Category: 1,646

Category Stats (Oct 2026)

  • Average Rating: 4.46/5 (↓0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Braintrust Data (+1.99%) - Among all products in this category, Braintrust Data recorded the largest rating increase compared to last month

Last updated: October 21, 2026

How Does G2 Rank Data Science and Machine Learning Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 14,600+ Authentic Reviews
  • 1,646+ 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.

G2 Grid® for Data Science and Machine Learning Platforms

G2 Grid® for Data Science and Machine Learning Platforms plotting products by satisfaction and market presence

Highlighted products: Databricks, Gemini platform, SAS Viya, Google Cloud AutoML, IBM watsonx.data, MATLAB, Snowflake, and Dataiku.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.json?focus%5B%5D=databricks&focus%5B%5D=gemini-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=google-cloud-automl&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=matlab&focus%5B%5D=snowflake&focus%5B%5D=dataiku)

SAP Business Data Cloud

SAP Business Data Cloud is a fully managed software-as-a-service (SaaS) solution that unifies and governs SAP data and connects with third-party data. As an evolution of the company's data, planning, and analytics solutions, SAP Business Data Cloud brings together SAP Datasphere, SAP Analytics Cloud, and SAP Business Warehouse with a unified experience that delivers insights across all lines of business. In addition, SAP Databricks is natively available in Business Data Cloud - bringing the power of Databricks Data Intelligence Platform capabilities to the product. SAP Business Data Cloud connects data by leveraging business data fabric principles, making it easier to discover, share, govern, and model this data. It includes SAP Databricks as a first-party data service. The platform combines prebuilt applications and data products across all lines of business. It provides fully managed, curated data products across all lines of business and eliminate the costs of data extracts. Users can build on SAP’s curated data products with their domain expertise, and deliver Intelligent Applications through the Business Data Cloud ecosystem. These intelligent applications are adaptive, AI-powered applications that learn from your data, understand business context, and act on your behalf to transform business outcomes.

Average Rating: 4.2/5.0

Total Reviews: 75

How Do G2 Users Rate SAP Business Data Cloud?

  • Ease of Admin: 7.5/10 (Category avg: 8.6/10)

Who Is the Company Behind SAP Business Data Cloud?

  • Seller: SAP
  • Company Website:
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 40% Large, 29% Small

What Do G2 Reviewers Say About SAP Business Data Cloud?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of SAP Business Data Cloud, facilitating seamless data integration and smoother workflows.
  • Users value the business-ready semantic layer of SAP Business Data Cloud for its real-time, actionable data access.
  • Users value the seamless data integration capabilities of SAP Business Data Cloud for efficient data management and insights.
  • Users value the single, trusted view of data provided by SAP Business Data Cloud, streamlining daily operations effectively.
  • Users value the seamless data integration of SAP Business Data Cloud, enabling unified data access for enhanced decision-making.
Cons
  • Users find the complex setup process of SAP Business Data Cloud challenging, particularly in hybrid environments.
  • Users experience a difficult learning curve due to the complexity of advanced options and integration requirements.
  • Users find that integration issues make setup complex and challenging, particularly in hybrid environments.
  • Users highlight the high cost of SAP Business Data Cloud, which complicates budget management and may deter smaller organizations.
  • Users note a steep learning curve with SAP Business Data Cloud, making it challenging for beginners to utilize effectively.

What Are Recent G2 Reviews of SAP Business Data Cloud?

Seldon

Seldon gets machine learning models to production faster, in the most reliable way. Front-end deployment of models, explainers and canaries means users can deploy ML models and testing can be done in live environments. Metrics and dashboards can monitor models to improve performance and rapidly communicate errors for easy debugging. Model explainers mean you can understand and adjust what features are influencing the model and anomaly detection can flag drifts in data.

Average Rating: 4.3/5.0

Total Reviews: 11

How Do G2 Users Rate Seldon?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 6.7/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Seldon?

  • Seller: Seldon
  • Year Founded: 2014
  • HQ Location: London, GB
  • Twitter: @seldon_io
    2,250 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    87 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 45% Large, 36% Small

What Are Recent G2 Reviews of Seldon?

What Are G2 Users Discussing About Seldon?

Labellerr

Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling tasks and have modules to manage multiple projects, users, and millions of unstructured data. Teams can perform- 1. Automated data curation 2. EDA (Exploratory Data Analysis) 3. Automated data labeling 4. Quality control with assurance 5. Automated QC 6. Model debugging Data types that it supports are images, videos, text, audio, and PDFs. Use cases it supports are object detection, segmentation, classification, image captioning, transcription, and translation. The active learning feature has helped users save 1000s USD per task. Labellerr recently launched LabelGPT which labels images using a prompt. It leverages the combination of generative AI models to label data in minutes rather than months.

Average Rating: 4.8/5.0

Total Reviews: 21

How Do G2 Users Rate Labellerr?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Labellerr?

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 57% Small, 38% Medium

What Do G2 Reviewers Say About Labellerr?

AI-generated summary from verified user reviews

Pros
  • Users commend the annotation efficiency of Labellerr, highlighting the quality and seamless collaboration it offers.
  • Users appreciate the excellent collaboration of Labellerr, highlighting the strong teamwork and high-quality annotations.
  • Users appreciate the responsive customer support of Labellerr, noting the team's constant availability for assistance.
  • Users commend the excellent annotation quality of Labellerr, enhancing accuracy and team collaboration.
  • Users commend the efficiency of Labellerr, highlighting teamwork and high-quality annotations that enhance productivity.
Cons
  • Users find the difficult setup process of Labellerr to be time-consuming and challenging for collaboration.

What Are Recent G2 Reviews of Labellerr?

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Neural Designer

Neural Designer is a powerful software tool for developing and deploying machine learning models. It provides a user-friendly interface that allows users to build, train, and evaluate neural networks without requiring extensive programming knowledge. With a wide range of features and algorithms, Neural Designer simplifies the entire machine learning workflow, from data preprocessing to model optimization. In addition, it supports various data types, including numerical, categorical, and text, making it versatile for domains. Additionally, Neural Designer offers automatic model selection and hyperparameter optimization, enabling users to find the best model for their data with minimal effort. Finally, its intuitive visualizations and comprehensive reports facilitate interpreting and understanding the model's performance. Whether you are a beginner or an experienced data scientist, Neural Designer accelerates the development of accurate and efficient machine learning models.

Average Rating: 4.4/5.0

Total Reviews: 6

How Do G2 Users Rate Neural Designer?

  • Application: 8.7/10 (Category avg: 8.5/10)
  • Managed Service: 7.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 5.7/10 (Category avg: 8.3/10)

Who Is the Company Behind Neural Designer?

  • Seller: Artelnics
  • Year Founded: 2014
  • HQ Location: Villamayor, ES
  • Twitter: @artelnics
    803 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    9 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Are Recent G2 Reviews of Neural Designer?

What Are G2 Users Discussing About Neural Designer?

Limadata

Limadata is the real-time B2B data layer for AI agents and go-to-market teams. It connects sales, recruiting, and GTM workflows to fresh people, company, contact, and signal data through one unified API — built to plug directly into AI agents and agentic tools like Claude Code, Cursor, and MCP-based frameworks. Key Features and Functionality: - Find & Enrich: Search the global B2B graph by 95+ person attributes (role, seniority, location, skills) or 200+ company attributes (industry, size, tech stack, funding signals), then enrich any known email or domain into a complete profile. - People Enrichment: Get verified work emails, mobile numbers, social profiles, and employer firmographics for any individual. - Company Enrichment: Pull deep firmographic and technographic data — funding history, tech stack, headcount growth, SIC codes, and verified contact counts — for any domain. - Watch & Webhooks: Monitor people and companies for real-time changes (job moves, promotions, funding events, hiring spikes) with instant webhook delivery when something changes. - Multiple Integration Paths: Real-time REST API, push webhooks, bulk data licensing for internal data lakes or model training, and a native MCP server for agent frameworks. - Global Identity Graph: A continuously-resolved graph unifying millions of identities into a single, AI-ready data layer, indexing over a million events a day. Primary Value and Solutions Provided: Limadata solves the problem of AI agents and GTM tools running on stale, disconnected data. Rather than a data management/BI platform for internal analytics, it's an infrastructure layer that feeds live B2B intelligence directly into sales outbound, recruiting/talent sourcing, CRM enrichment, audience targeting, AI agent workflows, and investing/signal-tracking use cases. Teams use it to find the right people and companies, keep records fresh automatically, and get alerted the moment something meaningful changes — turning real-time web and B2B data into faster, better-informed action.

Average Rating: 5.0/5.0

Total Reviews: 5

Who Is the Company Behind Limadata?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Limadata?

Pyramid

Pyramid is a tier one, enterprise-grade Analytics Operating System that scales from single-user self-service analytics to thousand-user centralized deployments—covering simple-but-effective data visualizations to advanced machine learning capabilities. The agnostic Analytics OS features a universal client for any device and OS. It can be installed on most platforms—both on-premises or in the cloud—and it can operate against and with most popular data stacks. Pyramid allows users and organizations to balance self-service productivity and governance. It is an adaptive analytic platform that provides different capabilities and experiences based on user needs and skills, all while managing content as a shared resource. It is designed to support your organization’s entire decision workflow, and give everyone the tools to conduct self-service analytics. Importantly, the Analytics OS solves the “last mile problem,” closing the gap between your organization’s stated analytics strategy and actual analytics implementation. Pyramid features six distinct analytics modules (Model, Formulate, Discover, Illustrate, Present, and Publish)—plus an Administrative Console and Content Management System—to deliver a truly universal analytics experience across the entire analytics workflow.

Average Rating: 4.1/5.0

Total Reviews: 15

How Do G2 Users Rate Pyramid?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 10.0/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 10.0/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Pyramid?

  • Seller: Pyramid Analytics
  • Year Founded: 2008
  • HQ Location: Amsterdam
  • Twitter: @PyramidAnalytic
    10,219 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    100 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 47% Large, 35% Small

What Are Recent G2 Reviews of Pyramid?

Datagran

Analyze data, build data models, and automate workflows with the power of AI, all without spending a second on setup.

Average Rating: 4.6/5.0

Total Reviews: 4

How Do G2 Users Rate Datagran?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 6.7/10 (Category avg: 8.3/10)

Who Is the Company Behind Datagran?

  • Seller: Datagran
  • Year Founded: 2017
  • HQ Location: San Francisco, US
  • Twitter: @DataGran
    2,944 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 75% Small, 25% Medium

What Are Recent G2 Reviews of Datagran?

What Are G2 Users Discussing About Datagran?

H2O Driverless AI

H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months. With Driverless AI, everyone including expert and junior data scientists, domain scientists, and data engineers can develop trusted machine learning models. This next-generation automatic machine learning platform delivers unique and advanced functionality for data visualization, feature engineering, model interpretability and low-latency deployment.

Average Rating: 4.3/5.0

Total Reviews: 4

How Do G2 Users Rate H2O Driverless AI?

  • Application: 6.7/10 (Category avg: 8.5/10)
  • Managed Service: 6.7/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)

Who Is the Company Behind H2O Driverless AI?

  • Seller: H2O.ai
  • Year Founded: 2012
  • HQ Location: Mountain View, CA
  • Twitter: @h2oai
    25,222 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    372 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 25% Medium

What Do G2 Reviewers Say About H2O Driverless AI?

AI-generated summary from verified user reviews

Pros
  • Users find H2O Driverless AI to be easy to use, delivering great results with effective feature engineering.
  • Users appreciate the easy-to-use, low-code programming of H2O Driverless AI, enhancing their experience in Data Science.
  • Users value the easy-to-use AutoML platform of H2O Driverless AI, making data science accessible with low-code programming.
  • Users praise H2O Driverless AI for its easy problem solving, yielding great results and effective feature engineering.
Cons
  • Users find the lack of data preparation tools in H2O Driverless AI limiting for end-user functionality.
  • Users feel that Driverless AI lacks data preparation tools, limiting its effectiveness for end-users and data engineering.
  • Users find the user interface lacking and feel the absence of ETL functionalities hinders usability in H2O Driverless AI.

What Are Recent G2 Reviews of H2O Driverless AI?

What Are G2 Users Discussing About H2O Driverless AI?

JADBio AutoML

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?

  • Application: 10.0/10 (Category avg: 8.5/10)
  • Managed Service: 7.5/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 10.0/10 (Category avg: 8.3/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind JADBio AutoML?

  • Seller: GnosisDA
  • Year Founded: 2013
  • HQ Location: Los Angeles, US
  • Twitter: @WeAreJADBio
    335 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    9 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 60% Medium, 40% Small

What Are Recent G2 Reviews of JADBio AutoML?

What Are G2 Users Discussing About JADBio AutoML?

Labelbox

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products with custom or foundation models, or using AI to automate data tasks or find business insights, Labelbox enables teams to do so effectively and quickly. The platform is used by Fortune 500 enterprises such as Walmart, P&G, Genentech, and Adobe, and hundreds of leading AI teams. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), and Databricks Ventures.

Average Rating: 4.5/5.0

Total Reviews: 48

How Do G2 Users Rate Labelbox?

  • Ease of Admin: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Labelbox?

  • Seller: Labelbox
  • Year Founded: 2018
  • HQ Location: San Francisco, California
  • Twitter: @labelbox
    3,489 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    482 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Small, 38% Medium

What Do G2 Reviewers Say About Labelbox?

AI-generated summary from verified user reviews

Pros
  • Users find Labelbox extremely easy to use, simplifying project management and enhancing productivity for data training.
  • Users appreciate the easy and efficient data labeling process of Labelbox, enhancing workflow and model accuracy.
  • Users value the efficiency of Labelbox, appreciating its smooth setup and seamless project management capabilities.
  • Users appreciate the AI capabilities of Labelbox, simplifying data labeling and enhancing model accuracy effortlessly.
  • Users find easy integrations in Labelbox beneficial, enabling a seamless setup and user-friendly experience for all.
Cons
  • Users express frustration over the lack of features, citing limited task claims and minimal customization options.
  • Users report slow performance when handling large datasets, impacting efficiency and user experience significantly.
  • Users find Labelbox to have a difficult learning curve due to its complexity and slower processing with large data sets.
  • Users find the high cost daunting, especially small scale users who may struggle with affordability despite great features.
  • Users experience slow processing with Labelbox, leading to long waits for project initiation and completion.

What Are Recent G2 Reviews of Labelbox?

What Are G2 Users Discussing About Labelbox?

Civis

Civis Customer Science is a single solution that combines the best of well-known technology categories like CDPs, DMPs, identity graphs, etc. at unprecedented scale, with leading-edge data science for better decisioning, targeting, and personalization. Aspects of Civis Customer Science include six “families”: Civis Platform: A workbench that enables data scientists and highly technical analysts to use their favorite tools to import and export data, conduct real-time analysis, and automate and scale their workflows so they can efficiently uncover and share insights with decision makers. Identity Resolution & Data Enrichment: Unifies disparate data sets to create a single view of consumers with first-party data, Civis’s proprietary data assets and a probabilistic person-matching algorithm. Research & Social Science: Survey science and creative testing to build better understanding of opinion using the Civis survey infrastructure and weighting methodology to remove bias from surveys. Predictive Modeling: Build and activate individual-level models that predict acquisition targets, lifetime value, likelihood to churn, persuadability, outcome-based segments, and media ingestion to effectively engage each consumer. Attribution & Optimization: Measurement of advertising performance across and within channels to optimize spend. Utilize algorithmic attribution attribution methodology to understand and optimize marketing ROI with a world-class causal inference model.

Average Rating: 4.7/5.0

Total Reviews: 3

How Do G2 Users Rate Civis?

  • Application: 10.0/10 (Category avg: 8.5/10)
  • Managed Service: 10.0/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 10.0/10 (Category avg: 8.3/10)

Who Is the Company Behind Civis?

  • Seller: Civis Analytics
  • Year Founded: 2013
  • HQ Location: Chicago, US
  • Twitter: @CivisAnalytics
    8,392 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    42 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 25% Large

What Are Recent G2 Reviews of Civis?

JARVIS Video Analytics Solution

JARVIS by Staqu is an AI-powered audio and video analytics platform built by Staqu Technologies, transforming existing CCTV infrastructure into actionable intelligence. Powered by AI, computer vision and deep learning, JARVIS delivers real-time video analytics, alerts and operational insights across retail, manufacturing, hospitality, healthcare, public sector, infrastructure and smart cities. JARVIS supports 100+ analytics across safety, security and operations, including Person Re-Identification, facial recognition, object and vehicle search, crowd management, ANPR, intrusion detection, fire and smoke detection, footfall analytics and more. It is designed to work with existing camera infrastructure and supports cloud, edge and on-premise deployment. At Staqu Technologies, our focus is simple: turning existing CCTVs into intelligent systems that can see, understand and help people act faster.

Average Rating: 4.5/5.0

Total Reviews: 3

How Do G2 Users Rate JARVIS Video Analytics Solution?

  • Application: 10.0/10 (Category avg: 8.5/10)
  • Managed Service: 10.0/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 10.0/10 (Category avg: 8.3/10)

Who Is the Company Behind JARVIS Video Analytics Solution?

Who Uses This Product?

  • Company Size: 67% Large, 33% Medium

What Are Recent G2 Reviews of JARVIS Video Analytics Solution?

PerceptiLabs

PerceptiLabs is a GUI for TensorFlow and a next-generation ML tool with a visual modeler that allows the flexibility of code, some automation in connecting components, all combined with the ease of a drag and drop UI which is a visual API on top of TensorFlow. This makes model building easier, faster, and accessible to a wider spectrum of users. Your benefits include: • Fast modeling – with a drag and drop UI that makes model architecture easy to build and visualize. • Transparency - to more quickly understand how your model works and performs for better explainabilty. • Flexibility - Designed as a visual API on top of TensorFlow, this gives developers the flexibility to access low-level TensorFlow API and the freedom to pull in other Python modules.

Average Rating: 5.0/5.0

Total Reviews: 3

How Do G2 Users Rate PerceptiLabs?

  • Application: 10.0/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 9.2/10 (Category avg: 8.3/10)

Who Is the Company Behind PerceptiLabs?

  • Seller: PerceptiLabs
  • Year Founded: 2017
  • HQ Location: San Francisco, US
  • Twitter: @PerceptiLabs
    737 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Are Recent G2 Reviews of PerceptiLabs?

What Are G2 Users Discussing About PerceptiLabs?

Stratifyd

Stratifyd is the only next-gen experience analytics platform powered by Smart AI™ that empowers people of all skill levels to move beyond traditional customer experience analytics. By surfacing insights that existing approaches may miss, Stratifyd Smart AI™ takes the burden of manual analytics off teams, proactively surfacing hidden signals and themes 24/7 to ensure you never miss another insight. Today, many organizations have tons of data but lack the ability, time, resources, or budget to truly expose the insights that matter most to them. This is where Stratifyd stands out. With these challenges in mind, we have purpose-built the Stratifyd platform that will unify data from all your different sources and, through Smart AI™, automatically uncover the actionable insights you didn't know you were missing to: - Hit mission critical KPIs - Grow revenue - Drive loyalty - Reduce costs - Improve efficiency

Average Rating: 4.3/5.0

Total Reviews: 18

How Do G2 Users Rate Stratifyd?

  • Application: 10.0/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Stratifyd?

  • Seller: Stratifyd
  • Year Founded: 2015
  • HQ Location: Charlotte, US
  • Twitter: @getStratifyd
    997 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 70% Large, 20% Medium

What Are Recent G2 Reviews of Stratifyd?

What Are G2 Users Discussing About Stratifyd?

Gurobi Optimizer

With the Gurobi Optimizer, you can identify provably optimal solutions to the world’s most complex problems—including linear, nonlinear, and quadratic problems—using any combination of continuous and integer variables. Our user-friendly functionalities include multiple objectives, multiple scenarios, solution pools, general constraints, infeasibility analysis, a partition heuristic, Python matrix API, and more—all backed by our 100% PhD-level expert support. Plus, Gurobi is always free for students, faculty, researchers, and even recent graduates. Founded in 2008, Gurobi has operations in the Americas, Europe, and Asia. It serves customers across 40+ industries, including organizations like SAP, Air France, and the National Football League. Discover the Gurobi difference at gurobi.com.

Average Rating: 4.6/5.0

Total Reviews: 21

How Do G2 Users Rate Gurobi Optimizer?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 0.0/10 (Category avg: 8.3/10)

Who Is the Company Behind Gurobi Optimizer?

  • Seller: Gurobi
  • Year Founded: 2008
  • HQ Location: Beaverton, OR
  • Twitter: @gurobi
    5,050 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    212 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 52% Large, 24% Medium

What Are Recent G2 Reviews of Gurobi Optimizer?

What Are G2 Users Discussing About Gurobi Optimizer?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated October 21, 2026