Building mission-critical agent applications in production since 2022. Connecting frontier models to your enterprise data and tools with deterministic execution control.
Why engineering leaders standardize agent architectures on LangChain and LangGraph.
Structured environment supporting multiple LLM providers and data sources, integrating directly with your existing IT architecture.
Orchestrating models, logic, and external tools. Faster development, fewer runtime errors, and complete operational control.
Dynamic retrieval from CRMs, vector search, SQL databases, and cloud files, keeping agents grounded in live business data.
The three essential layers for taking agents from experimentation to continuous production.
Modular state machines with persistent memory, cyclic flow control, and human-in-the-loop review gates.
End-to-end trace observability, latency and token cost tracking, and continuous regression evaluation suites.
Self-hosted deployments on private Kubernetes clusters or sovereign VPCs, keeping all data inside your security perimeter.
Our practical approach to ensuring agent initiatives advance beyond prototypes into mission-critical systems:
Technical, architectural, and business feasibility assessment before writing code.
Building LangGraph state graphs with custom tooling and long-term memory.
Direct connection to core enterprise systems including ERPs, CRMs, and relational databases.
Architecture documentation, evaluation test suites, and continuous knowledge transfer to your team.
No theoretical slide decks. We deliver working software and audited code that your company fully owns.
We advise CTOs, VPs of Engineering, and technical leaders on designing, auditing, and hardening agent architectures. From initial feasibility audits to complete code handover to your internal team, we deliver deterministic software that you fully own.
