AI Engineering
Nearshore agentic AI engineers, in your time zone
We field senior engineers who build agentic AI that does real work in production — multi-step agents, tool use, and orchestration — with the evaluation and guardrails that make it trustworthy.
The problem
Agent demos are easy; agents that are reliable, safe, and cost-controlled in production are not.
What we do
Agent design, orchestration, tool and RAG integration, evaluation, and guardrails.
What a build looks like
A multi-step agent that triages inbound work — reading the request, pulling context from your systems through tool calls and retrieval, drafting an action, and handing genuine edge cases to a person. Around it: an evaluation harness that catches regressions before they ship, guardrails that keep it inside policy, observability so you can see what it did and why, and cost controls so it scales without surprises. Built on your stack.
FAQ
Frequently asked
Agents in production?
Yes — agents that do real work: reading a request, pulling context through tool calls and retrieval, taking an action, and escalating the genuine edge cases to a person. Reliability and governance are designed in, not bolted on.
Guardrails and evaluation?
Yes — an evaluation harness that catches regressions before they ship, guardrails that keep the agent inside policy, and observability so you can see what it did and why. That's the line between a demo and something you can trust in production.
Which frameworks?
We build on your stack rather than locking you into ours — the major model providers and the leading agent and orchestration frameworks. The choice follows the use case and your platform, not a house preference.