Custom AI agents that survive production.
We build domain-specific AI agents that handle real workflows end to end — multi-step, tool-using, and observable. The hard part of an agent is not the demo; it is the eval pipelines, reliable tool-calling, cost controls, and observability that keep it working after launch. That is exactly what we focus on.
Who it's for
- Teams with a repetitive, multi-step knowledge workflow that a person currently does by hand.
- Companies whose first AI pilot looked great in a demo but fell over in production.
- Support, operations, or research teams that need an agent wired into their real tools and data.
- Founders building an AI-native product who need agent engineering they can trust.
What you get
Domain-specific agents
Scoped narrowly to your workflow — not a generic assistant that does everything badly.
Reliable tool-calling
Agents that call your APIs and tools, retry correctly on failure, and stay within guardrails.
Eval pipelines
Automated evals that catch regressions before your users do — the difference between a demo and a product.
Cost controls
Model routing and caching so inference cost is predictable, not a month-end surprise.
Observability
Tracing that tells you which prompt path failed, not just that something failed.
Human handoff
Clear escalation rules so the agent knows the edge of its competence.
How we work
Discovery
Map the workflow, define success metrics, agree scope. ~1 week.
Prototype
A working agent in your sandbox by the end of week two.
Production
Hardening, evals, observability, and deployment. 1–3 weeks.
Iterate
Optional retainer to tune, expand, and scale.
Tools & tech we use
We are model- and tool-agnostic — this is a typical stack, chosen per project for your use case, cost, and data.
How we work
We sign NDAs
Mutual NDA before anything sensitive is shared. Your data and ideas stay yours.
Evals & observability
Every build ships with eval pipelines and tracing, so it keeps working after launch.
Honest timelines
Most projects ship in 3–6 weeks. We scope tight and tell you the truth about dates.
You own everything
Your code, your repos, your cloud accounts. Documented handover, no lock-in.
Typical first engagement · 3–6 weeks. Larger or more complex work is scoped individually — book a call and we'll talk it through.
See full pricing →Related reading
AI Agent Development FAQ
The questions we get asked most before a project starts.
A custom AI agent is software powered by a large language model that completes a multi-step task on its own — reasoning about what to do, calling your tools and APIs, and producing a result. Unlike a chatbot, it takes actions: looking things up, updating records, and handing off to a human when needed.
Most AI agent engagements ship a working agent in 3–6 weeks: about a week of discovery, a working prototype by week two, then 1–3 weeks of production hardening, evals, and deployment.
Most pilots fail because the team built the demo, not the system around it — no evals to catch regressions, brittle tool-calling, no cost controls, and no observability. We treat an agent like the distributed system it really is, which is why ours keep working after launch.
Custom AI agents start from $5,000 for a fixed-scope first build (3–6 weeks). Larger or more deeply integrated agents are scoped individually. Many clients then move to an optional retainer from $2,500/mo for ongoing tuning.
Tell us what you want to ship.
A 30-minute call to scope your project. If we're a fit, we'll send a proposal within 48 hours.