// Service

AI Agents & Machine Learning

Overview

Production AI agents, RAG pipelines and LLM integrations — multi-agent systems built to run unattended.

Most AI projects die between the demo and production. The demo works because a human is watching; production fails because nothing handles the case where stage four returns malformed output at 3am. We build the second kind. That means structured contracts between agents, isolation so one failing stage does not corrupt a run, evaluation you can actually act on, and observability that tells you which step degraded rather than that the output got worse. We have shipped a nine-agent content pipeline that runs unattended and a document-AI system operating inside a licensed, regulated profession.

Key features
Multi-agent systems & orchestration
RAG pipelines & vector search
LLM integration into existing products
MCP servers for internal tooling
Document extraction & classification
Evaluation harnesses & regression testing
Cost and latency optimisation
Voice agents & speech pipelines
How we deliver it
01

Scope the task an agent can actually own

02

Build the evaluation set before the agent

03

Ship one stage at a time, measured

04

Instrument for failure, not for the happy path

05

Hand over with the evals and the runbook

Related servicesSee what we have shipped