AI & Agents
AI Agent Development
We build agents that call your tools, follow your policies, and escalate to people when confidence drops — with evaluation baked in from the first commit.
Scope
What we take on.
01
Agent design
Task decomposition, tool schemas, memory, and human approval points.
02
Retrieval & grounding
Search over your documents and systems so answers cite real sources.
03
Evals & guardrails
Regression suites, red-teaming and runtime checks that catch failures before users do.
Outcomes
What you walk away with.
- Measured accuracy on your own tasks
- Audit log for every action
- Cost and latency budgets enforced
Tooling
Typical stack.
- Claude
- OpenAI
- LangGraph
- pgvector
- Temporal
- Python
We choose tools to fit your environment and team. Treat this as a starting point, not a requirement.
Related
Pairs well with.
Start here
Planning a ai agent development project? Let's talk.
Bring the problem, the number it should move and your deadline. We will come back with a plan within a week.