Stateful multi-agent systems built on LangChain and LangGraph deployed on your infrastructure with complete observability, human oversight, and zero vendor lock-in. Enterprise AI that you own and control.
Stateful agents · RAG · VPC deployment
Production-grade tools and frameworks for building, deploying, and monitoring agentic AI systems.
The industry standard for building stateful LLM applications. We architect complex multi-agent workflows with conditional branching, parallel execution, and persistent state management across long-running conversations.
Retrieval-Augmented Generation with pgvector on PostgreSQL — zero lock-in vector storage that runs in your existing database. Semantic search, hybrid retrieval, and citation-aware responses for enterprise knowledge bases.
Full tracing, evaluation, and monitoring for every agent interaction. Debug complex multi-step reasoning, track token budgets, and ensure quality with automated evaluations and human feedback loops.
LLM-agnostic deployment on your infrastructure — AWS, Azure, GCP, or on-premises. FastAPI/Node.js backends with LangServe, REST, or WebSocket protocols. OAuth2/JWT enterprise authentication and rate limiting.
Agentic AI doesn't mean autonomous without oversight. We build human-in-the-loop safeguards into every system — approval workflows, escalation paths, and complete audit trails for regulated industries.
Let's discuss how agentic AI can transform your operations without surrendering control to external platforms.
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