We build production AI that works in the real world

What we focus on

• LLM applications

  Assistants, copilots and document workflows built on large language models, evaluated against your own data before they reach users.

• Retrieval-augmented generation (RAG)

  Search and question-answering over your documents and systems, with grounded answers, source citations and access controls.

• AI agents with human oversight

  Agents that carry out multi-step business tasks, with approval points, audit trails and clear limits on what they can do alone.

• Machine learning and computer vision

  Models for prediction, classification and image analysis, taken from experiment to a product your team can run.

• MLOps and AI governance

  Deployment, monitoring, evaluation and controls so AI systems stay reliable, measurable and accountable once they are live.

Explore our AI services

How we work

It starts with a free 30-minute call and a scoped proposal. From there, every engagement follows the same four stages.

1. 01

   Paid discovery

   A short, scoped engagement to understand the problem, the data and the constraints, and to agree what success looks like.

2. 02

   Prototype

   A working prototype tested against representative data, with the evaluation results that justify moving forward, or rule it out.

3. 03

   Production

   The production build in your own cloud and code repositories, with monitoring, security and documentation in place.

4. 04

   Support

   Ongoing support, tuning and improvement after launch, or a clean handover to your own engineers.

Recent AI work

• NavGen

  Computer vision over aerial imagery, shipped as a working lead-generation product for roofing companies.

  Read the case study

• AI Agents

  Autonomous AI agents built for real business-process automation, with monitoring to keep them reliable.

  Read the case study

• Invoice Reconciliation

  AI-assisted matching of invoices and payments to cut manual reconciliation work.

  Read the case study