Train, deploy, and continuously improve your own models on an integrated compute, training, inference, and sandbox stack.
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Updated Oct 7, 2026
capability
Platforms focused on training runs, RLHF, or post-training pipelines.
Includes evidence-backed assignments to this category and its descendants. Totals describe indexed coverage, not the complete market.
Train, deploy, and continuously improve your own models on an integrated compute, training, inference, and sandbox stack.
Updated Oct 7, 2026
Powered by Ray, Anyscale helps AI builders run data-intensive workloads to build and deploy Foundation Models and AI at scale on any cloud.
Updated Sep 20, 2026
Specific Intelligence for Your Business
Updated Sep 29, 2026
Frontier AI labs train on Labelbox environments and expert data. Engineering and research teams hand their recurring work to agents on Recursion.
Updated Oct 18, 2026
Environments and datasets for RL. Powering the world's leading AI labs.
Updated Oct 1, 2026
Frontier models are general. Your problem is not. Ashr post-trains open-weight models on your own data, inside your own cloud, on weights you own.
Updated Oct 1, 2026
Make models like it's nothing. The custom model factory for cheaper, better, faster AI.
Updated Oct 1, 2026
Bryel helps teams train models that they own.
Updated Oct 5, 2026
Cuebench builds RL environments for scientific discovery and inference.
Updated Oct 1, 2026
steerable and explainable AI
Updated Oct 1, 2026
dstack is a unified control plane for GPU provisioning and orchestration that works with any GPU cloud, Kubernetes, or on-prem clusters.
Updated Oct 7, 2026
EdotEnv builds RL environments from financial market data for self-improving intelligence.
Updated Oct 1, 2026
The post-training layer for physical AI.
Updated Oct 1, 2026
Encord is the multimodal data layer for physical AI. Manage, curate, annotate, and align petabytes of data - from sensor streams to video to text. Trusted by 300+ AI teams including Woven by Toyota, AXA, UiPath, Zipline, and more.
Updated Oct 1, 2026
Updated Oct 1, 2026
Freesolo builds tools for autonomous, efficient, and inexpensive training of small models.
Updated Oct 1, 2026
frontier computing is a biocomputing company in Cambridge, UK, growing scalable brain systems — the next-gen hardware layer for biocomputing. backed by Y Combinator (S26).
Updated Oct 1, 2026
RL environments that train frontier AI models on real financial services work — investment banking, private equity, and consulting. Backed by Y Combinator.
Updated Oct 1, 2026
Hebbian Robotics builds open source foundational infrastructure for Physical AI to develop robots that extend what humanity can do, for the benefit of the communities they serve.
Updated Oct 18, 2026
A virtual lab where AI can continuously experiment and learn to become research scientists.
Updated Oct 1, 2026
We turn a measurable target into thousands of directed experiments, and return a better model or algorithm. Post-training, optimization, synthetic RL environments, and signal processing.
Updated Oct 1, 2026
Updated Oct 1, 2026
We research the psychology of how LLMs learn, and turn it into new training techniques that train custom models and harnesses together.
Updated Oct 1, 2026
MangoDesk — Accelerate custom evals and post-training data creation.
Updated Oct 1, 2026