Top Free Machine Learning Software - Page 3

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 972

Category Stats (Oct 2026)

  • Average Rating: 4.34/5 (↑0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cloud TPU v5p (+2.4%) - Among all products in this category, Cloud TPU v5p recorded the largest rating increase compared to last month

Last updated: October 01, 2026

How Does G2 Rank Machine Learning Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 14,300+ Authentic Reviews
  • 972+ 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, Google Cloud Recommendations AI, Alteryx, Amazon Personalize, 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=google-cloud-recommendations-ai&focus%5B%5D=alteryx&focus%5B%5D=amazon-personalize&focus%5B%5D=dataiku)

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
    32 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 value the ease of use of Rayven, allowing seamless integration and workflow creation without coding skills.
  • Users value Rayven for its real-time data integration and seamless unification of various tools into one efficient system.
  • Users value Rayven's automation capabilities, enabling seamless integration and real-time data unification for improved performance tracking.
  • Users value the customization capabilities of Rayven, enabling tailored solutions to meet specific healthcare needs seamlessly.
  • Users value the robust data management of Rayven, enabling real-time processing and efficient automation across diverse systems.
Cons
  • Users report a steep initial learning curve due to complex setups and the need for technical knowledge.
  • Users find the difficult learning curve challenging due to overwhelming initial setup and complex feature configurations.
  • Users find the learning difficulty challenging due to the overwhelming initial setup and complex configuration processes.
  • Users find the complex setup of Rayven challenging, necessitating extensive planning for effective use and integration.
  • Users find the setup complexity challenging, often needing extra support for advanced integrations and configurations.

What Are Recent G2 Reviews of Rayven?

Verfacto

Verfacto is a machine-learning tool that unifies customer data from scattered sources, blends it with behavioural data, and turns into insights that help e-commerce businesses to approach the right audience with the right message, adjust acquisition channels according to customers lifetime value, upsell and cross-sell effectively, make discounts only if they have a positive effect, and more.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate Verfacto?

  • 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 Verfacto?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Verfacto?

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Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

How it works

Dat1

Dat1 offers serverless GPUs with low cold start (under 15 seconds) and a pay-per second pricing. It allows hosting custom machine learning models or pipelines on enterprise-grade GPUs without fixed costs. Dat1 deploys your workloads accross the cluster providing effortless scaling and high availability. Dat1 also offers higher GPU availability since lower cold start allows us to reuse hardware more efficitently. Privacy and security is important to us. Dat1 is GDPR and CCPA compliant from the start and will never save your data more than needed and of course, we never intend to sell it to anyone.

Who Is the Company Behind Dat1?

nuli

From predictive analytics to natural language processing, our AI service empowers businesses to stay ahead in today's dynamic landscape. Experience efficiency, accuracy, and agility like never before with our intelligent solutions tailored to your unique needs.

Who Is the Company Behind nuli?

Ollang

Unleash the power of multilingual communication with cutting-edge AI. Ollang revolutionizes translation, localization, and global expansion through advanced language models. Trusted by global businesses and creative teams alike, Ollang delivers natural, fluent language solutions and strategic plans that transcend cultural boundaries.

Who Is the Company Behind Ollang?

  • Seller: Ollang
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    255 employees on LinkedIn®

Oryx

Onyx is a framework for building applications that includes packaged, end-to-end applications for collaborative filtering, classification, regression and clustering.

Who Is the Company Behind Oryx?

  • Seller: Oryx
  • HQ Location: Seattle, WA
  • Twitter: @oryxio
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

Slicker

Slicker is an AI-powered payment recovery platform that helps subscription businesses reduce involuntary churn and recover failed recurring payments. Built specifically for SaaS, media, e-commerce subscriptions, and membership businesses, Slicker turns past-due invoices into recovered revenue through intelligent retry strategies, hyper-personalized dunning emails, and multi-gateway routing. Subscription businesses lose roughly 9% of revenue to failed payments every year, and 20-40% of all churn is involuntary, not voluntary cancellation. Slicker closes that gap. Customers see about a 20% recovery-rate uplift on top of their existing billing platform, with up to 70% of soft declines recovered. Core capabilities: Smart Retries. An ensemble of AI models decides whether to retry, when to retry, and how much to retry each failed payment. The system analyzes gateway error codes, network codes, Merchant Advice Codes (MACs), card type, issuing bank, geography, payday patterns, and bank holidays to schedule each retry at the highest-probability moment. Smart Dunning Emails. Brand-owned recovery emails personalized to the specific failure reason. A stolen card, an expired card, an insufficient-funds decline, and an RBI mandate failure each get different messaging. Emails come from your domain, on mobile-optimized one-click payment update pages. Multi-Gateway Routing. Intelligent routing recommendations that send each retry through the optimal gateway based on payment-instrument data, historical gateway performance, and transaction context. AI Payments Analytics. Self-service dashboards, natural-language reporting, 3DS failure analysis, and processor A/B testing built for finance and retention teams. The differentiator: AABB testing. Slicker is the only payment recovery platform that proves incremental lift with statistical significance before you commit. Borrowed from clinical drug trials, AABB testing splits your traffic 50/50 between your current setup and Slicker, then measures actual dollars recovered with p-values and confidence intervals. No cherry-picked metrics, no "trust us" claims. If Slicker doesn't outperform with statistical significance, you don't pay. Setup is no-code and takes under 5 minutes with native integrations for Stripe Billing, Chargebee, Recurly, Zuora, Recharge, and major payment providers including Stripe, Braintree, Adyen, Checkout.com, PayPal, Worldpay, and Cybersource. Zero engineering lift required. Pricing is performance-based. You pay a percentage of recovered revenue only, with no upfront costs, no minimums, and no feature gates. Slicker is a Y Combinator company and trusted by enterprise subscription brands including The Economist and Freepik. Founded by former Stripe and BlackRock engineers, with advisors from Stripe, Google, Thought Machine, and Roblox.

Who Is the Company Behind Slicker?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026