Introducing the Applied Compute Agent Cloud. Read more

THE AI SUPERCLOUD FOR OPEN MODELS

The Best AI is Built, Not Bought

Train, inference, and continuously improve any model.

Customers

Cognition · Microsoft · NVIDIA · Harvey · Handshake · DoorDash · NTT Data · Bridge · Mercor · Latch Bio · Manifold Bio · Clay

Moritz Stephan, Engineering Lead, Cognition

"The training recipe was precisely tailored to our product and use case. Applied Compute's approach to dataset, environment, and harness construction gave us confidence that the model would perform well in the production setting with real users."

Gabe Pereyra, Co-Founder, President at Harvey

"Applied Compute's platform gives us the high-performance training infrastructure we need to run large-scale RL inside a custom legal-agent harness. Their research team brought deep expertise across training, evaluation, and task design, helping us turn our legal data into a state-of-the-art model on our Legal Agent Benchmark."

Andy Fang, Co-Founder, CTO at DoorDash

"AI has long been core to how DoorDash helps merchants succeed. By encoding our quality standards directly into model training, we scaled our internal expertise and raised the bar on menu accuracy on the platform."

Zach Abrams, Co-Founder, CEO at Bridge

"Our support team's judgment is the hardest thing to encode: subtle differences between failures, when to escalate, what's safe to surface. Applied Compute built an agent that learns that judgment from our SMEs in production, so our expertise compounds with every ticket instead of living in a few people's heads"

Brendan Foody, Co-Founder, Co-CEO at Mercor

"Applied Compute achieving frontier capabilities on APEX Agents with just 2,000 tasks is incredible."

Kenny Workman, Co-Founder, CTO at Latch Bio

"Scientifically reliable agents require robust benchmarks. Applied Compute helped us better understand how well our benchmarks map to practical tasks, allowing us to further improve agents on biology."

“There should be as many models in the world as there are firms.” Satya Nadella, Chairman and CEO of Microsoft, discusses the future of enterprise AI and model ownership with our CEO, Yash Patil. Watch now

Applied Compute Agent Cloud Built and used every day by frontier researchers

AC2 is one unified platform to train, serve, and continuously improve models you own, with our researchers working beside your engineers. Watch the platform video

Train

Turn your data, judgement, and workflows into better, faster, cheaper models. Start training

Serve

Dedicated inference for custom models that enables continuous improvement. Run inference

Train it. Serve it. Improve it.

Our team of frontier lab veterans and applied research engineers help you train custom models on your data, deploy them at scale, and improve them continuously.

Train Scalable infrastructure for better, faster, cheaper models.

• Post-train tool-using, long-horizon agents. Train across text, images, code, and structured data on a state-of-the-art stack using your own harness and graders.
• Optimize your models towards your evals. Calibrate rewards to your product KPIs and domain expertise. Inspect what your model is learning with rollout-level observability.
• Stay model-flexible. Train from the best available base models, then upgrade as stronger ones ship without changing your harness, data pipeline, or deployment stack.

Serve Flexible, production grade inference in seconds

• Serve in the harness you trained in. Move from training to production with zero train-to-deployment mismatch.
• Optimize for any production workload. Configure deployments around the throughput, latency, and concurrency your product needs, from asynchronous agents to real-time user experiences.
• Promote checkpoints to production instantly. Deploy your latest model as soon as it is ready, with replicas that spin up in seconds.

Improve Models that get better the more they are used

• Transform real usage into training data. Mine training data and reward signals directly from production traces to continually improve your model.
• Improve deployments with real-time training. Attach your production inference endpoints to a training runtime. Update deployments online as real user feedback comes in using online RL and self-distillation.
• Fearlessly roll out deployments with monitoring and observability. Directly run A/B tests with release candidates, and roll out production model updates frequently and with confidence.

How we partner Deployed with you from day one

Our team has pioneered RL post-training, long-horizon agents, and continual learning at frontier labs.

Embedded

We sit with your engineers, from co-designing the first eval, to deploying the model and beyond.

Managed

Your team designs and runs experiments. We manage the training, serving, and infrastructure load.

Your data. Your model. Your edge.

Built for the most security-conscious customers in AI, enterprise, and the public sector. SOC 2 Certified. ISO 42001 Certified.

Data never leaves your perimeter

Choose serverless or a VPC deployment based on the control you need.

Full access and audit

Role-based access control, audit logs on every dispatch, lifecycle automation for checkpoints, datasets, and artifacts.

You own the intelligence

The model is yours. You decide what trains, what deploys, and what memory is retained. Opt out of training any time.

News and Research

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