We work across four practices, each one self-contained yet stronger in combination. Engagements scale from a single advisory week to multi-year embedded programmes. The standard never changes — only the shape of the work does.
Production-grade machine learning systems engineered around your data, your constraints, and your unfair advantages. We focus on durable accuracy and operational simplicity. Every model ships with documentation a senior reviewer would accept on first reading.
Interfaces that read as obvious in retrospect and feel inevitable in use. We translate intricate logic into surfaces that respect attention. Prototypes are pressure-tested with real users before a single production line is written.
Independent counsel for founders, boards and investment committees navigating ambiguous terrain. We work in small, senior teams. The output is decisions you can defend on Monday morning, not slideware you'll forget by Friday.
Senior engineers integrated into your roadmap for a defined sprint or season. We move as your team would, share their accountability, and leave behind systems that scale without us. No black boxes, no permanent dependencies.
We accept a limited number of engagements each season. If your problem is the kind that keeps the right people up at night, it is probably the kind we'd like to hear about.
Process
We begin with deep conversations — never assumptions. The brief gets rewritten.
Constraints, options and trade-offs surfaced openly so decisions are made with eyes open.
Small senior teams ship in disciplined cycles, with measurable progress every fortnight.
Code, knowledge and authorship are handed back, leaving you stronger than you were.

