Founder & CEO
ELSOLVE LTD · London
Bespoke agentic systems built into how your business already runs - on your hardware, on your terms.
If any of those landed -
Leave a voice noteOne session. You leave knowing exactly where AI pays for itself in your operation - and where it’s a distraction.
Your Claude Code, Cursor, or custom agent diagnosed and made useful. Prompt, context, tools, evals - the whole stack.
Bespoke agentic systems built into your business - on your hardware, on your terms. Discovery, design, build, deploy, hand over. You own it after.
Once it’s in production, ongoing tuning, extension where the leverage is, and a steady hand to stop the wheels coming off. Monthly retainer; cancel anytime.
A decade of shipping software that runs in production - across UK enterprise, US accelerators, and bespoke builds for operators.








ELSOLVE LTD · London
Bespoke agentic systems built into how your business already runs - on your hardware, on your terms.
Neutralis S.R.L · London
Leading technical strategy and execution for an early-stage venture.
Techbible · London
Technology owner and builder across the full stack.
Founders, Inc. · San Francisco
Hardware-focused founder programme. The build went on to ship as Device Hero.
ProDG Studio · Nairobi
A year of building, hiring, and shipping the studio’s product line end to end.
BT · Version 1 · Citation Group
Python, AWS, and AI delivery inside three of the UK’s larger engineering organisations - from research labs to regulated enterprise.
Earlier: Founder & CTO, Waypoint (Device Hero) · Full-Stack + AI, stealth (LLM finance chatbot) · Python Developer, The Plugin People.
Roy was losing hours a week to a split between email, Slack, and a calendar nobody was minding. The fix: MailMind - an agentic assistant that lives on his own machine, ingests his mail end to end, reads attachments natively instead of mangling them, and keeps one searchable map of every conversation. A single typed command folds a Slack thread into the same record. And before any meeting he hasn’t replied to, it nudges him on WhatsApp - organiser, agenda, and join link already in hand.
Sara wanted serious AI capacity that ran on her terms, not a rented seat in someone else’s tool. The build: a private stack on her own machine - layered onto the runtime she already had rather than starting from scratch - wired to several model providers so the work keeps flowing if any one of them throttles. Usage and rate-limit windows surface on a shared dashboard, and the whole thing is kept patched, backed up, and monitored over a private network.
A sample of systems put into production. Most of the work stays under NDA.