Case studies

The delivery record, and how it is evidenced.

Below: the organizations, scope and measured outcomes from work to date. Named, written-up case studies publish only with client approval; engagement-level detail is available under NDA in the meantime.

Track record

The record so far.

Matter (via Toptal network)

Simulation environment for AI-powered iOS features, plus multi-agent pipelines for content extraction and notifications, built for Matter, a neuroscience app, through the Toptal network.

  • 58% faster dev cycles
  • 26% lower token spend
  • 47% faster processing
Closest serviceAI product engineering
Crimson Education

An admissions-probability and recommendation platform serving 100+ college strategists and a 2,400-strong tutor network.

  • 89% lower pipeline cost
  • 270% faster execution
Closest serviceLLM cost & latency
Evidentful

Multi-agent tooling for court-grade witness interviews and statements, deployed through Cambridgeshire Police's first major pilot.

  • 70% faster transcription
  • $250k Series A secured
Evidence policy

Three levels of disclosure.

01

Public now

The delivery record below: organizations, period, scope and headline outcomes from delivery reviews. No client-confidential material appears at this level.

02

Under NDA

Architecture decisions, evaluation data and delivery detail for the engagements closest to your problem, walked through in a working session.

03

With written approval

Full written case studies. Each one publishes only after the client approves both the narrative and the figures in it.

Want the full picture under NDA?

We walk through delivery detail (architecture, evaluation data, outcomes) for the engagements closest to your problem. Nothing is shared beyond what each client has approved in writing.

Discuss a project