Chalk for AI Platform Engineers
Power the full development cycle for production AI with the Chalk platform.
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Trusted by teams building the next generation of AI / ML
Why AI platform engineers
choose Chalk
The workflow for building, testing, and deploying AI is fragmented.
- Source data lives in one system.
- Observability tools are in another.
- Evaluation systems are somewhere else.
- Production infrastructure, sandboxes, tool gateways are across vendors.
- Everything has to be wired together.
Chalk gives AI platform engineers one end-to-end system for building, evaluating, and running real-time, production AI.
Chalk Compute was the only integrated compute and context engine for agents that ran entirely inside our own environment, at the scale we needed, without becoming an infrastructure project
AJ BalanceCPO, Grindr
Chalk brings the
workflow together.
One continuous loop.
Develop, simulate, evaluate, deploy, observe, and improve in one platform - without rebuilding the stack at every stage.
One execution path.
Build, test, and run AI against the same underlying data, logic, tools, and infrastructure.
One federated context layer.
Give agents the live business state they need without creating another copy of your data.
Built for the continuous loop
of AI development.
- AI Agents: Build agents with real-time context. Simulate, evaluate, and deploy within one platform.
- LLMs: Train and fine-tune open-weight models, evaluate performance against a specific task, and then serve in your cloud.
- Real-time ML models: Define features, query across sources, compute and serve decision-ready inputs in milliseconds, and run your model where your data lives.
Ready to ship next‑gen AI?
Talk to an engineer and see how Chalk can power your production AI systems.