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What does your model evaluation pipeline actually look like in production?
Offline evals, golden sets, LLM-as-judge, human review: what are you running before a model or prompt change ships, and what has caught real regressions?
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AI & ML Platforms
Evaluating AI & ML Platforms this quarter? This page brings together what changed, which companies are most active, what practitioners are asking and how to build a shortlist.
Platforms for building, training, governing and serving machine-learning and generative AI models, from model hosting and MLOps to AI governance and sovereign deployment.
What changed recently
Start with the news. These are the AI & ML Platforms stories getting the most attention right now, so you know what has shifted before you talk to anyone.
AI & ML Platforms
Proaction boosts sales 60% and saves 75+ hours with Codex
With Codex, GPT-Live-1, and GPT-6 Astra, Proaction builds, operates, and sells modern fleet management faster.
AI & ML Platforms
Two years of OpenAI Academy
Marking two years of OpenAI Academy and bringing AI skills to even more communities.
AI & ML Platforms
OpenAI extends cyber access to Ukraine for civilian defense
OpenAI is extending access to its Daybreak program to the Government of Ukraine to support the cyber defense of civilian infrastructure.
AI & ML Platforms
Sam Altman’s remarks at the United Nations Security Council
OpenAI CEO Sam Altman discusses AI safety, human control, and international cooperation in remarks to the United Nations Security Council.
AI & ML Platforms
Harvey turns legal context into stronger drafts with GPT-6 Astra
GPT-6 Astra produces more structured, context-aware legal documents, freeing lawyers to focus on strategy.
AI & ML Platforms
Mistral and Mozilla are bringing open, private and multilingual AI to your web browser
Open, private and multilingual AI is coming to your web browser. Mistral and Mozilla team up to put powerful, trustworthy AI where you already browse.
AI & ML Platforms
Cloudera and Mistral Partner to Bring Specialized, Sovereign Intelligence to Enterprise Data
Cloudera and Mistral join forces to bring specialized, sovereign AI intelligence to enterprise data, helping regulated industries innovate on their own terms.
AI & ML Platforms
Modernizing complex legacy code with AI agents.
Mistral helped a European energy operator migrate 40,000 lines of Fortran 77 to C++. Learn how it was done, and the lessons to carry forward.
Companies to know in AI & ML Platforms
Those stories keep returning to the same names. These are the companies we track in this category; each profile has its news, solutions and published reviews.
OpenAI
San Francisco, California, USA
OpenAI is an artificial intelligence research and deployment company that develops the GPT family of large language models, reasoning models, image, video and speech models, and the ChatGPT assistant. It sells access through ChatGPT consumer and business plans and the OpenAI API, which includes tools for building agents. Founded in 2015 and headquartered in San Francisco, OpenAI counts Microsoft as a major investor and partner.
Anthropic
San Francisco, California, USA
Anthropic is an AI safety and research company founded in 2021 and headquartered in San Francisco. It develops the Claude family of large language models, offered through the Claude apps, the Claude Developer Platform (API), Claude Code for software development, and cloud marketplaces including Amazon Bedrock and Google Cloud Vertex AI. Anthropic is a public benefit corporation.
Google Cloud
Mountain View, California, USA
Google Cloud is the cloud computing business of Google, a subsidiary of Alphabet Inc. It offers Google Cloud Platform infrastructure and services including Compute Engine, Google Kubernetes Engine, BigQuery, Spanner and the Vertex AI platform with Gemini models, as well as Google Workspace. It serves enterprises, public sector organisations and startups through global cloud regions.
Microsoft
Redmond, Washington, USA
Microsoft is a global technology company whose enterprise portfolio spans the Azure cloud platform, Microsoft 365 productivity software, Dynamics 365 business applications, security products and developer tools such as GitHub. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is one of the largest providers of cloud and AI services to businesses.
Amazon Web Services
Seattle, Washington, USA
Amazon Web Services (AWS) is the cloud computing subsidiary of Amazon, headquartered in Seattle and launching its core services in 2006. It offers on-demand infrastructure and platform services including EC2 compute, S3 storage, databases such as Aurora and DynamoDB, EKS containers, IoT, analytics, Amazon Bedrock and SageMaker for AI, and Trainium and Graviton custom chips.
NVIDIA
Santa Clara, California, USA
NVIDIA is a semiconductor and computing platform company that designs GPUs, CPUs, networking and software for AI, data centres, gaming, professional visualisation and automotive. Its data centre portfolio includes Hopper and Blackwell GPUs, Grace CPUs, DGX systems, InfiniBand and Spectrum-X Ethernet networking, and the CUDA and NVIDIA AI Enterprise software stacks. Founded in 1993, NVIDIA is headquartered in Santa Clara, California, and listed on Nasdaq.
Databricks
San Francisco, California, USA
Databricks is a data and AI company founded in 2013 by the creators of Apache Spark and headquartered in San Francisco. Its Data Intelligence Platform, built on a lakehouse architecture, combines data engineering, SQL warehousing, governance through Unity Catalog, and machine learning and generative AI tooling through Mosaic AI. Databricks created open-source projects including Delta Lake and MLflow and is privately held.
IBM
Armonk, New York, USA
IBM is a US technology company providing hybrid cloud and AI software, infrastructure and consulting. Its portfolio includes Red Hat OpenShift, the watsonx AI and data platform, IBM Z mainframes and Power servers, IBM Storage, Db2 databases, and automation and observability software such as Instana and HashiCorp Terraform. Founded in 1911 and headquartered in Armonk, New York, IBM is listed on the NYSE.
Hugging Face
New York, New York, USA
Hugging Face is an AI company that runs the Hugging Face Hub, a platform hosting open machine learning models, datasets and demo applications (Spaces), and maintains open source libraries such as Transformers, Diffusers and Datasets. Founded in 2016 by Clément Delangue, Julien Chaumond and Thomas Wolf, it has offices in New York and Paris and in 2026 agreed to be acquired by NVIDIA for about US$12.9 billion.
Cohere
Toronto, Ontario, Canada
Cohere is a Canadian enterprise AI company founded in 2019 and headquartered in Toronto. It develops large language models, including Command for generation, Embed for semantic search and Rerank for retrieval, plus the North platform for workplace AI agents, with private deployment options for businesses and governments. In 2026 Cohere agreed to merge with German AI company Aleph Alpha, pending regulatory approval.
Mistral AI
Paris, Île-de-France, France
Mistral AI is a French artificial intelligence company that develops large language models, including open-weight and commercial models such as Mistral Large, Mistral Medium, Mistral Small, Codestral and Magistral. It offers models via its La Plateforme API, the Le Chat assistant and deployments on major clouds and on premises. Mistral AI was founded in Paris in 2023 by Arthur Mensch, Guillaume Lample and Timothée Lacroix.
DataRobot
Boston, Massachusetts, USA
DataRobot is an AI platform company founded in 2012 by Jeremy Achin and Tom de Godoy and based in Boston, Massachusetts. Known for pioneering automated machine learning (AutoML), it offers a platform for building, deploying, monitoring and governing predictive and generative AI models and AI agents across cloud and on-premises environments. DataRobot is privately held.
Dataiku
New York City, New York, USA
Dataiku is an enterprise AI and analytics platform company founded in Paris in 2013 by Florian Douetteau, Clément Stenac, Marc Batty and Thomas Cabrol, and now headquartered in New York City. Its platform, Dataiku DSS, lets data scientists, analysts and business users collaboratively prepare data, build machine learning models, develop generative AI applications and agents, and govern AI projects. Dataiku is privately held.
H2O.ai
Mountain View, California, USA
H2O.ai is a US AI company known for H2O, its open source distributed machine learning platform, and for Driverless AI, its automated machine learning product. Its H2O AI Cloud and Enterprise h2oGPTe offerings support predictive and generative AI in the cloud or on-premises, serving financial services, insurance, healthcare and public sector organisations. It was founded in 2012 as 0xdata.
Domino Data Lab
San Francisco, California, USA
Domino Data Lab is an enterprise AI platform company founded in 2013 by Nick Elprin, Chris Yang and Matthew Granade and headquartered in San Francisco. Its Domino platform gives data science teams a governed environment to build, deploy, monitor and manage machine learning and generative AI models across hybrid and multicloud infrastructure, and is used particularly in regulated industries such as life sciences, financial services and the public sector.
SAS
Cary, North Carolina, USA
SAS, formally SAS Institute Inc., is a US analytics and AI software company headquartered in Cary, North Carolina, founded in 1976. Its flagship SAS Viya cloud-native platform provides data management, statistical analysis, machine learning, decisioning, model governance and generative AI tools. SAS serves banking, government, life sciences, insurance and other regulated industries, and is privately held.
Snowflake
Bozeman, Montana, USA
Snowflake is a US cloud data platform company founded in 2012, with its principal executive office in Bozeman, Montana. Its AI Data Cloud runs on AWS, Microsoft Azure and Google Cloud and provides data warehousing, data lake and Apache Iceberg support, data sharing, Snowpark, Cortex AI and Snowflake Postgres. Snowflake is listed on the New York Stock Exchange.
Scale AI
San Francisco, California, USA
Scale AI is a US artificial intelligence data company headquartered in San Francisco, California, founded in 2016 by Alexandr Wang and Lucy Guo. It provides training data, data labelling, reinforcement learning from human feedback (RLHF) and model evaluation services to AI developers, enterprises and governments. In 2025 Meta invested in a 49% stake, and Wang joined Meta.
Anyscale
San Francisco, California, USA
Anyscale is a US AI infrastructure company founded in 2019 by the creators of Ray, the open-source distributed computing framework from UC Berkeley. Headquartered in San Francisco, it offers a managed Ray platform for scaling AI and Python workloads, including data processing, training, fine-tuning and inference. In July 2026 Anyscale agreed to be acquired by AI cloud provider Nscale; the deal has not yet closed.
Oracle
Austin, Texas, USA
Oracle is an enterprise software and cloud company known for Oracle Database, Oracle Cloud Infrastructure (OCI), Oracle Fusion Cloud Applications, NetSuite, MySQL and Java. It serves enterprises and governments with databases, ERP, HCM and industry applications, and cloud infrastructure for AI training and inference. Founded in 1977 by Larry Ellison, Bob Miner and Ed Oates, Oracle is listed on the NYSE and headquartered in Austin, Texas.
What practitioners are asking
Vendor news only tells you half of it. This is what people working in AI & ML Platforms are discussing and asking each other.
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Where do most of your inference workloads run today?
Pulse check for FY27 planning conversations.
Build a shortlist
With the news, the companies and the open questions in view, pick three to five companies whose products match your problem, read their recent stories and put your remaining questions to the community before you speak to sales.
More AI & ML Platforms stories
If you want more background, here is more of the recent coverage.
AI & ML Platforms
Mistral raises €3B to make sovereign, open-weight AI the technology frontier
Mistral today announced that it has raised €3 billion in a Series D funding round at a post-money valuation of more than €21 billion.
AI & ML Platforms
Mistral x HUMAIN
AI & ML PlatformsWhy it matters
DataRobot Gives Enterprises Full Control Over Where and How Their AI Runs
BOSTON, July 22, 2026 — Sovereign AI has moved from a government concern to a boardroom one. The shift was recently accelerated when a government directive cut off access to a widely used AI model overnight with no warning, no transition period, and no recourse for the organizations that had built on it. Enterprises across... The post DataRobot Gives Enterprises Full Control Over Where and How…
AI & ML Platforms
How Enterprise AI Moves from Chatbots to Real Work
The post How Enterprise AI Moves from Chatbots to Real Work appeared first on DataRobot .
AI & ML Platforms
The Inside Story of IBM’s Shocking Profit Warning
The post The Inside Story of IBM’s Shocking Profit Warning appeared first on DataRobot .
AI & ML Platforms
DataRobot Unifies AI Governance Beyond the Cloud
BOSTON, July 2, 2026 — Enterprise AI governance has a fragmentation problem. Platform vendors govern within their platform. Cloud providers govern within their cloud. Application vendors govern within their application. The moment an agent steps outside those boundaries, visibility ends and so does governance. Today, DataRobot is advancing the industry standard for strong AI governance... The…
AI & ML Platforms
A 3X Leader for the Agentic Era: DataRobot Named a Leader Again in the Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms
Agent Workforce Platform co-engineered with NVIDIA helps enterprises build, deploy, and govern production-grade AI agents — on any infrastructure, without hyperscaler lock-in BOSTON, June 24, 2026 — DataRobot, the agentic workforce platform, today announced that Gartner® has recognized the company as a Leader in the Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms... The…
AI & ML Platforms
Announcing the Ray Foundations Certification
AI & ML Platforms
Announcing Anyscale on Azure: Build, Run and Scale AI-Native Workloads Securely on Azure Infrastructure
AI & ML Platforms
Benchmarking Multimodal AI Workloads on Ray Data
AI & ML Platforms
AI with Ray and Anyscale at AWS re:Invent 2025
AI & ML Platforms