AI software & agents

Production AI, not another proof of concept.

We build agents, retrieval systems, and AI features that ship. That means real integrations with your stack, evaluation suites that catch regressions, and guardrails that keep behavior predictable once live traffic hits.

agent · support queue

autonomous resolution

tickets resolved

1.2s

avg response

98%

grounded

Intent

Refund policy question detected

Tool call

CRM + docs searched with citations

Response

Answer sent, source links included

Escalation

Edge cases routed to support

grounded answers

3 human handoffs

What is included

Autonomous agents and tool-use workflows

RAG and retrieval over your own data

LLM features wired into existing products

Evaluation suites, tracing, and guardrails

Model and prompt cost and latency tuning

The result

AI that behaves the same in production as in the demo

A system your engineers can extend

Clear metrics on quality, cost, and latency

Best fit

Teams moving an AI prototype toward launch

Products that need an agent or copilot built right

Companies with data but no in-house ML team

Next step

If this is what you are building, start the brief and we will scope the route.

Start a build