Best Machine Learning Software - Page 12

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 475

Category Stats (Aug 2026)

  • Average Rating: 4.33/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Fireworks AI (+7.87%) - Among all products in this category, Fireworks AI recorded the largest rating increase compared to last month

Last updated: August 06, 2026

How Does G2 Rank Machine Learning Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 16,200+ Authentic Reviews
  • 475+ 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 Machine Learning Software

G2 Grid® for Machine Learning Software plotting products by satisfaction and market presence

Highlighted products: Gemini Enterprise Agent Platform, SAS Viya, IBM watsonx.ai, Azure OpenAI Service, Amazon Personalize, Google Cloud TPU, Alteryx, and Dataiku.

Underlying data: [Grid® JSON](https://www.g2.com/categories/machine-learning/grids.json?focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=azure-openai-service&focus%5B%5D=amazon-personalize&focus%5B%5D=google-cloud-tpu&focus%5B%5D=alteryx&focus%5B%5D=dataiku)

Sponsored

Amazon Aurora

Amazon Aurora is a fully managed relational database service that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Compatible with MySQL and PostgreSQL, Aurora delivers up to five times the throughput of standard MySQL databases and up to three times that of standard PostgreSQL databases. It is designed for high availability, offering up to 99.99% availability within a single region and up to 99.999% across multiple regions. Aurora's architecture includes a distributed, fault-tolerant storage system that automatically scales up to 128 tebibytes, ensuring continuous data access and durability. Additionally, Aurora provides serverless configurations, allowing automatic scaling based on application needs, and integrates seamlessly with other AWS services for machine learning and analytics. Key Features and Functionality: - High Performance: Delivers up to five times the throughput of MySQL and three times that of PostgreSQL, enabling efficient handling of demanding workloads. - High Availability: Designed for up to 99.99% availability within a single region and up to 99.999% across multiple regions, ensuring continuous data access. - Scalability: Automatically scales storage up to 128 tebibytes and supports up to 15 read replicas for read-intensive applications. - Serverless Configuration: Offers Aurora Serverless, which automatically adjusts capacity based on application demand, eliminating the need for manual provisioning. - Machine Learning Integration: Integrates with Amazon SageMaker and Amazon Comprehend, allowing for in-database machine learning capabilities without data movement. - Security: Provides multiple layers of security, including network isolation, encryption at rest and in transit, and compliance with various industry standards. Primary Value and Solutions Provided: Amazon Aurora addresses the need for a high-performance, highly available, and scalable relational database service that is cost-effective and easy to manage. By offering compatibility with MySQL and PostgreSQL, it allows organizations to migrate existing applications without significant code changes. Aurora's automatic scaling and serverless options cater to applications with variable workloads, reducing operational overhead and costs. Its integration with AWS machine learning services enables real-time analytics and predictive capabilities directly within the database, enhancing application functionality. Overall, Aurora simplifies database management while delivering enterprise-grade performance and reliability.

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NextBrain AI

NextBrain AI is a No-Code Machine Learning platform for anyone who loves data. Advanced data analytics. It is a web-based and Google Sheets platform, that helps data analyst to access Machine Learning techniques easily, and data scientists automate and deliver faster solutions to the problems they are facing. Help businesses to focus only on what really matters and increase their ROI!

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate NextBrain AI?

  • Ease of Use: 6.7/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind NextBrain AI?

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of NextBrain AI?

Numericcal

Numericcal provides tools to help you reach your implementation goals quickly and effortlessly.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate Numericcal?

  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Numericcal?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Numericcal?

NuPIC

NuPIC is an open source project based on a theory of neocortex called Hierarchical Temporal Memory (HTM) that can be used to analyze streaming data, it learns the time-based patterns in data, predicts future values, and detects anomalies and includes discussion groups on HTM theory, research on extending HTM, and source code for complete applications based on HTM.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate NuPIC?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.7/10)
  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)
  • Ease of Admin: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind NuPIC?

  • Seller: Numenta
  • Year Founded: 2005
  • HQ Location: Redwood City, US
  • Twitter: @Numenta
    13,374 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    27 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of NuPIC?

Outerbase AI

Outerbase is a user-friendly database interface to explore data.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Outerbase AI?

  • Ease of Use: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Outerbase AI?

Who Uses This Product?

  • Company Size: 200% Small

What Do G2 Reviewers Say About Outerbase AI?

AI-generated summary from verified user reviews

Pros
  • Users praise the effective data visualization and NLP capabilities of Outerbase AI for direct database insights.
  • Users value the data visualization and NLP integration in Outerbase AI for direct and insightful database answers.
  • Users value the data visualization and NLP integration in Outerbase AI for direct and insightful database answers.
  • Users praise the data visualization capabilities of Outerbase AI, effectively retrieving answers from databases with NLP.
  • Users value the effective data visualization from Outerbase AI, enabling direct answers from databases with NLP integration.
Cons
  • Users face slow performance as Outerbase occasionally enters infinite processing loops, requiring a hard refresh to function again.
  • Users often face system instability with Outerbase AI, as it can get stuck in infinite loops requiring hard refreshes.

What Are Recent G2 Reviews of Outerbase AI?

Percipient

We believe in the power of human understanding To save lives, protect our values, freedom and way of life. Accelerating human understanding through the latest artificial intelligence and integrated intuitive workflows allows our customers to learn from history and be prepared for the present and future, ahead of their competitors and adversaries. Our mission is to enable their success. In today’s business climate and global environment knowing the power of your data and learning from your most insightful leaders are two of the most important competitive advantages. Percipient.ai’s Mirage® Intelligence Analysis Platform allows you to do both, in real time.

Average Rating: 4.5/5.0

Total Reviews: 1

Who Is the Company Behind Percipient?

What Do G2 Reviewers Say About Percipient?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Percipient, enjoying its simple interface and step-by-step explanations for better understanding.
  • Users enjoy the easy setup of Percipient, appreciating its simple and friendly interface for quick onboarding.
  • Users value the accurate and detailed explanations of Percipient, enhancing understanding and saving time in research.
  • Users appreciate the intuitive interface of Percipient, which simplifies planning and enhances understanding through clear explanations.
  • Users commend the consistent accuracy of Percipient, streamlining their workflow and enhancing understanding.
Cons
  • Users experience inaccuracy with Percipient, often finding outdated information that requires double-checking for reliability.

What Are Recent G2 Reviews of Percipient?

phData Tram for Snowflake

phData Tram is an application to make managing Snowflake users and projects simple. The Snowflake platform supports federated authentication; however, in order to provide secure access, users and database resources do still need to be provisioned within Snowflake. Tram streamlines this process.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate phData Tram for Snowflake?

  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 10.0/10 (Category avg: 8.4/10)

Who Is the Company Behind phData Tram for Snowflake?

  • Seller: phData
  • Year Founded: 2014
  • HQ Location: Minneapolis, Minnesota, United States
  • LinkedIn® Page: www.linkedin.com
    718 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Are Recent G2 Reviews of phData Tram for Snowflake?

PredictionBuilder

PredictionBuilder is a library for machine learning that builds predictions using a linear regression.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate PredictionBuilder?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 6.7/10 (Category avg: 8.5/10)
  • Quality of Support: 10.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind PredictionBuilder?

Who Uses This Product?

  • Company Size: 200% Small

What Are Recent G2 Reviews of PredictionBuilder?

Prophyt

September AI Labs gives clients the ability to access specialist data science in a virtual innovation lab. We apply strategy and advanced AI to power rapid prototyping and solution development, led by best-in-class experts from across the world.

Average Rating: 4.5/5.0

Total Reviews: 1

Who Is the Company Behind Prophyt?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Prophyt?

Qualetics

Discover Qualetics, your gateway to effortless AI automation. Our cutting-edge platform is designed to provide businesses with a seamless experience with its intuitive no-code AI capabilities. Say goodbye to coding complexities and hello to the future of AI innovation! Key Features: No Code AI: Qualetics empowers you with a no-code AI platform, eliminating the need for programming expertise. Dive into the world of artificial intelligence effortlessly and bring your ideas to life without writing a single line of code. Pre-Trained AI Models: Benefit from over 25+ pre-trained AI models covering a diverse range of applications. Qualetics ensures that you have access to state-of-the-art models for tasks such as text analysis, image recognition, document processing, and audio/video data interpretation. Self Learning AI Models: Qualetics goes beyond static models. Our platform features self-learning AI models that adapt and evolve over time, ensuring that your solutions stay ahead of the curve and continuously improve their performance. Data Processing Capabilities: Seamlessly process text, image, document, audio, and video data with Qualetics. Our platform is your all-in-one solution for comprehensive data processing, enabling you to extract valuable insights from various types of content. Multi-Tenancy: Qualetics understands the importance of scalability and collaboration. Our multi-tenancy support allows multiple users or teams to work concurrently within the platform, ensuring efficiency and collaboration at every level. Security and Governance: Trust is paramount. Qualetics prioritizes your data's security with robust measures and governance protocols. Rest assured that your AI endeavors are protected and compliant with industry standards. Real-Time Observability: Stay informed and in control with real-time observability features. Monitor your AI models' performance, track usage metrics, and receive insights instantly. Qualetics gives you the tools to make informed decisions on the fly. Why Choose Qualetics: Simplicity Meets Innovation: Qualetics brings the power of AI to your fingertips without the complexity of coding. Diverse Model Library: Access a rich library of pre-trained models for a wide array of applications. Adaptive Learning: Benefit from self-learning AI models that adapt to evolving data patterns. Versatile Data Processing: Process text, image, document, audio, and video data seamlessly in one platform. Collaborative Environment: Foster collaboration with multi-tenancy support for teams of any size. Security-First Approach: Ensure the security and governance of your AI initiatives with our robust measures. Real-Time Insights: Make informed decisions with real-time observability features, putting you in control. Embark on your AI journey with Qualetics and experience the future of AI, simplified. Explore possibilities, innovate effortlessly!

Average Rating: 4.4/5.0

Total Reviews: 5

How Do G2 Users Rate Qualetics?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.7/10)
  • Ease of Use: 9.4/10 (Category avg: 8.5/10)
  • Quality of Support: 8.9/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Qualetics?

Who Uses This Product?

  • Company Size: 40% Medium, 20% Small

What Do G2 Reviewers Say About Qualetics?

AI-generated summary from verified user reviews

Pros
  • Users value the personalized experience from Qualetics, enhancing customer loyalty and satisfaction through data-driven insights.
  • Users rave about the personalized user experience enabled by Qualetics, enhancing customer loyalty and satisfaction.
  • Users appreciate the exceptional data-driven personalization of Qualetics, enhancing user experience and boosting satisfaction.
  • Users value the personalized user experience provided by Qualetics, enhancing customer loyalty and satisfaction significantly.
  • Users appreciate the fantastic personalization of Qualetics, enhancing customer loyalty through tailored experiences and recommendations.
Cons
  • Users find the limited customization options of Qualetics insufficient for their specific business requirements and needs.
  • Users find the limited customization options of Qualetics inadequate for their specific business requirements.
  • Users find the limited customization options of Qualetics restrict their ability to tailor solutions to their unique needs.
  • Users find the limited customization options make it challenging to tailor dashboards and reports to unique business needs.

What Are Recent G2 Reviews of Qualetics?

Rayven

What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top. It is the platform for organisations that need to act on operational data in real-time, deploy AI that actually works in production + build software that fits the way their business operates - without replacing existing systems or waiting 18 months for results. The Problem Rayven Solves Most organisations already have the systems and data they need. The challenge is fragmentation. ERP systems, SCADA platforms, IoT devices, databases, cloud tools, and files all generate valuable data - but it sits in silos, impossible to act on in real-time. The result: manual reporting, disconnected workflows, and AI projects that fail before reaching production. Industry research shows 95% of AI projects never ship - most because the underlying data layer is not clean, connected, or ready. Rayven builds that foundation first, then activates it. The Rayven Platform Rayven operates across five unified layers, delivered as a single managed environment: - Integration: More than 600 pre-built connectors pull data from IT, OT, IoT, files, APIs, databases, and data streams - bidirectionally, in real-time. Connects industrial protocols (OPC UA, Modbus, MQTT, BACnet) alongside cloud platforms, business systems, and proprietary tools. - Data: All connected data lands in a single managed platform - structured, governed + AI-ready. Real-time processing, ETL pipelines, data lakes, and AI model training handled in one place. - Execution: Automation rules, predictive models + agentic AI run directly on live operational data. Rules-based logic, machine learning, and goal-seeking autonomous agents all operate in one execution environment. - Presentation: Custom apps, dashboards, portals, conversational interfaces, and mobile applications deployed from the same platform - built for specific workflows, not generic reporting. - Security, Governance + Hosting: Role-based access control, data lineage, audit trails, AES-256 encryption, data residency controls, and enterprise-grade infrastructure - included as standard. AI Capabilities Rayven includes ten native AI capabilities built directly into the platform: 1. Custom AI agents (goal-seeking, action-taking) 2. Predictive analytics and machine learning 3. Conversational analytics 4. Real-time and continuous model training 5. AI-led workflow automation 6. Multimodal processing (documents, video, images, audio) 7. Anomaly and risk detection 8. Forecasting and optimisation 9. Vision and edge AI inference 10. Generative operational summaries MCP server support enables direct connectivity for AI models including Claude, GPT, and others. What Gets Built Rayven customers build and deploy: - Custom operational apps and field applications. - AI agents that monitor conditions, detect anomalies + take corrective action autonomously. - Predictive maintenance and performance models running on live plant data. - Real-time dashboards and executive reporting tools. - Workflow automations spanning IT and OT systems. - Customer and partner portals. - Data pipelines and integration layers. - White-label software products delivered under partner brands. Key Differentiators vs. Point solutions (Zapier, MuleSoft, Power BI, DataRobot): point solutions do one thing well but force teams to stitch together five separate tools to cover integration, data, AI, presentation, and governance. Rayven replaces the stack. vs. Traditional enterprise platforms (SAP, Oracle, Palantir): enterprise platforms take 12-18 months and seven figures to implement. Rayven deploys in two to 12 weeks at fixed scope and fixed price. vs. Low-code app builders (Mendix, OutSystems): app builders handle the presentation layer but do not solve the underlying data and integration problem. Rayven covers the full stack. Technology Compatibility Rayven is fully technology-agnostic and works alongside existing systems: - Cloud platforms: Microsoft Azure, Google Cloud + AWS - Business systems: SAP, Salesforce, Oracle, and Microsoft 365 - OT platforms: Siemens, Rockwell, Schneider Electric, and Ignition - Industrial protocols: OPC UA, Modbus, MQTT, BACnet, and EtherNet/IP - IoT devices: any device with a data output - Custom and proprietary systems via API, webhook, or direct connector Nothing needs to be replaced. Every existing investment is preserved. Who Uses Rayven Rayven serves businesses from growth-stage to large enterprise across 24+ industries globally - manufacturing, mining, construction, infrastructure, logistics, utilities, financial services, healthcare, agriculture, government, and more. Customers across Australia, Europe, North America, South America, and Africa. Named customers include Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack, and AngloGold Ashanti. Delivery Options - DIY: Full platform access. Internal teams build and deploy independently. - Done-For-You: Australia-based delivery team. Fixed scope, fixed price, two to 12 weeks from brief to go-live. - Hybrid: Guided delivery first, with the customer's team taking increasing ownership over time. By the Numbers - More than 600 pre-built connectors. - Ten native AI capabilities. - More than 240 deployments live globally. - Rated 5/5 across more than 140 independent reviews. - Deploys 66% faster than traditional development. - Two to 12 weeks to first working solution. - Rayven exists to close the gap: 95% of AI projects never reach production (industry average).

Average Rating: 4.9/5.0

Total Reviews: 29

How Do G2 Users Rate Rayven?

  • Ease of Use: 9.9/10 (Category avg: 8.5/10)
  • Quality of Support: 9.9/10 (Category avg: 8.4/10)

Who Is the Company Behind Rayven?

  • Seller: Rayven
  • Year Founded: 2016
  • HQ Location: Sydney, AU
  • Twitter: @RayvenIOT
    56 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Retail
  • Company Size: 69% Medium, 52% Small

What Do G2 Reviewers Say About Rayven?

AI-generated summary from verified user reviews

Pros
  • Users commend Rayven's ease of use, highlighting effortless automation and streamlined integration through intuitive drag-and-drop features.
  • Users appreciate Rayven's robust handling of large-scale data and advanced AI capabilities, enhancing operational efficiency and flexibility.
  • Users praise Rayven for its exceptional automation capabilities, significantly streamlining data workflows and enhancing operational efficiency.
  • Users appreciate Rayven's customization capabilities, allowing tailored solutions that enhance integration and streamline operations efficiently.
  • Users appreciate Rayven's robust data management, enabling real-time processing and integration across complex systems with ease.
Cons
  • Users find the learning curve steep initially, requiring time and guidance to fully grasp all features.
  • Users find difficult learning curves with Rayven's features, requiring time and guidance for smoother onboarding experiences.
  • Users experience a steep learning curve initially, requiring time and additional resources to fully understand the platform.
  • Users find the complex setup challenging, especially with advanced features and multi-site deployments requiring careful planning.
  • Users note the setup complexity of Rayven, requiring assistance for advanced integrations and lengthy initial configurations.

What Are Recent G2 Reviews of Rayven?

SAVVI

SAVVI AI is a low-code, end-to-end Machine Learning tool, empowering teams to quickly and easily create products that learn. SAVVI was started with the belief that all product teams and developers should be able to implement AI/ Machine Learning without the need for Data Scientists or a costly and time-consuming Machine Learning infrastructure. SAVVI takes teams through the entire process (Data Collection, Model Creation, Decisioning, Model Management) with an easy-to-use tool embedded with Javascript or 2 APIs. Teams are empowered to launch ML and change their static systems into systems that learn for a fraction of the time or cost of the traditional process. Secure, scalable, and production-ready. Use cases include Workflow optimization, Personalization, Pricing Optimization, Next-best-Action, Recommendation engines, and more.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate SAVVI?

  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind SAVVI?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of SAVVI?

Scale GenAI Platform

Build organizationally intelligent agents faster. Scale GenAI Platform is a comprehensive toolset to use your data to build, control, and improve your agents and AI solutions. Build AI applications and complex multi-agent systems, train agents to reason over your enterprise data, take action with your tools, and continuously improve with feedback from human-agent interactions with our Agent Monitoring Protocol.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate Scale GenAI Platform?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)
  • Ease of Admin: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Scale GenAI Platform?

  • Seller: Scale AI
  • Year Founded: 2016
  • HQ Location: San Francisco, California, United States
  • Twitter: @scale_AI
    75,618 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5,533 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Do G2 Reviewers Say About Scale GenAI Platform?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the end-to-end workflow support of Scale GenAI Platform, simplifying the management of generative AI models at scale.
  • Users appreciate the community support of the Scale GenAI Platform, enhancing collaboration and user experience for developers.
  • Users value the end-to-end workflow support of the Scale GenAI Platform for building and deploying generative AI models efficiently.
  • Users praise the end-to-end workflow support of Scale GenAI Platform, facilitating efficient AI model development and deployment.
  • Users value the end-to-end workflow support of the Scale GenAI Platform, enabling seamless AI model deployment and management.
Cons
  • Users find the Scale GenAI Platform to be expensive, particularly those from smaller teams feeling under-supported and overwhelmed.
  • Users find the expensive subscriptions of Scale GenAI Platform a barrier for smaller teams seeking support and transparency.
  • Users find limited access regarding transparency on pricing and usage limits, especially for smaller teams and new users.
  • Users note the limited features of the Scale GenAI Platform, particularly regarding support for smaller teams and new users.
  • Users note the limited options for smaller teams, feeling overwhelmed and in need of better support and resources.

What Are Recent G2 Reviews of Scale GenAI Platform?

shaman

shaman is a Machine Learning library for node.js that supports both simple linear regression and multiple linear regression.

Average Rating: 1.0/5.0

Total Reviews: 1

How Do G2 Users Rate shaman?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 1.7/10 (Category avg: 8.5/10)
  • Quality of Support: 10.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 3.3/10 (Category avg: 8.5/10)

Who Is the Company Behind shaman?

Who Uses This Product?

  • Company Size: 100% Small

What Are G2 Users Discussing About shaman?

sofia-ml

sofia-ml is a suite of fast incremental algorithms for machine learning (sofia-ml) that can be used for training models for classification, regression, ranking, or combined regression and ranking, intended to aid researchers and practitioners who require fast methods for classification and ranking on large, sparse data sets.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate sofia-ml?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Quality of Support: 6.7/10 (Category avg: 8.4/10)

Who Is the Company Behind sofia-ml?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    341,888 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of sofia-ml?

SpeedWise ML

SpeedWise® ML (SML) is a web-based software platform allowing everyone and every company to conduct cutting-edge machine learning practices and predictive analysis. Through the platform, everyone, with or without a deep understanding of machine learning, will be able to deliver high-quality production-level models through a few mouse clicks within minutes, without typing a single line of code. • Master machine learning easily without a data science background. • Powerful data preprocessing capabilities and intelligent data capture make data wrangling easy and fast. • Save time training and refining ML models rather than on countless coding hours (python knowledge not needed). • SML allows training of different models at the same time, displaying which is best. • Robust reporting conveys model validity. • Solve universal machine learning problems with a fast and intuitive data science workflow. SpeedWise® ML can be used by any company or organization that has data that is not yet fully exploited. This technology is applicable to any industry or sector, and it simply requires uploading an input data table (e.g., a .csv file) to start triggering thousands of machine learning models.

Average Rating: 2.5/5.0

Total Reviews: 1

How Do G2 Users Rate SpeedWise ML?

  • Ease of Use: 5.0/10 (Category avg: 8.5/10)
  • Quality of Support: 6.7/10 (Category avg: 8.4/10)

Who Is the Company Behind SpeedWise ML?

  • Seller: QRI
  • Year Founded: 2007
  • HQ Location: Houston, US
  • Twitter: @QRI
    88 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    131 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small
Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026