Integration with Custom Models & Systems
Keep sensitive data in customer environments while AI apps connect to proprietary models, vector databases, and internal APIs. Process, cache, and transform data locally before external API calls.
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Customer cloud infrastructure for the world’s top AI companies
Enable enterprises to run AI agents, fine-tune pipelines, and inference self-hosted models in their own cloud infrastructure - keeping sensitive data secure while AI vendors maintain operational control.
Agents
Integrate Agents and Vector Databases
Agent Execution Environments
Run autonomous AI agents securely inside customer infrastructure. Host the orchestration layer that decides actions, manages workflow state, and executes tools—while LLM calls remain external.
Models
Open-Source Models and Fine-Tuning Models
Fine-Tuning & Training Infrastructure
Deploy fine-tuning pipelines in customer clouds where proprietary training data lives. Preprocess sensitive datasets locally before sending to AI provider APIs, meeting compliance requirements.
Self-Hosting Scenarios
Host open-source models (Llama, Mistral) alongside AI applications in customer accounts. Co-locate with AWS Bedrock, Azure OpenAI, or private model infrastructure—all within one secure environment.
One Control Plane for AI Infrastructure
Deploy AI apps and infrastructure repeatably across customer clouds. Package once, install everywhere—from orchestration layers to RAG pipelines to agent environments.
