AI development
Most AI projects stall because they are built beside the business rather than inside it. We start from the process that is costing you time, and ship the smallest system that removes it — then widen it once it has proven itself on real work.
- 01
- Process analysis
- 02
- AI workflow design
- 03
- Agents & automation
- 04
- Evaluation & deployment
Agents that do the task
Tool-using agents wired into your own systems, scoped to one job and measured on whether it gets done.
Document and data pipelines
Extraction, classification and routing over the paperwork that currently moves by hand.
Simulation and research systems
Where the answer needs to be modelled rather than looked up — as on Lakmoos, running 20M+ questions a week.
Evaluation you can trust
Benchmarks against real outcomes before anything is relied on, not a demo that worked once.
Thinking about ai development? That is a thirty minute conversation.
Thirty minutes, no deck, and a reply within one working day.
“You will be talking to me, not to an account manager. I scope the work and I am on the build.”