Service
Agentic Development
Multi-step agents with LangChain, LangGraph, LangSmith, CrewAI and AgentField — observable and reliable.
We build multi-step AI agents that do real work — using LangChain, LangGraph, LangSmith, CrewAI and AgentField — designed as observable, testable systems rather than fragile prompt chains.
Agents are software. We treat them like it: explicit state, evaluation, tracing and guardrails, so they're reliable enough to put in front of customers.
How we work
- Phase 1
Design the graph
Model the task as explicit states and transitions, not a black box.
- Phase 2
Build & evaluate
Implement with LangGraph/CrewAI and measure with LangSmith.
- Phase 3
Ship with guardrails
Human-in-the-loop, retries and observability in production.
How we make agents reliable
The engineering discipline that separates a demo from a product.
Explicit state
LangGraph state machines instead of opaque chains.
Multi-agent
Role-based crews that collaborate and check each other.
Evaluation
LangSmith eval sets gate every change.
Human-in-the-loop
Approvals on actions that matter.
Tracing
Every step is traced, costed and replayable.
Guardrails
Validation and limits on tools and outputs.
Want agents that actually work?
Bring us a workflow worth automating. We'll design the graph and prove it.