AI software in production
A working system served from London infrastructure, behind HTTPS and a CDN, ready for your first users and your first investor demo.
London Bridge · AI software development & full-stack product engineering
Hire an AI expert developer who ships production software, not a demo.
You bring an idea and an operation that already costs your team hours. You leave with AI software running in production: opened daily by your team, demoed to investors, and written so the next engineer extends it. I scope it beside you, build it, and fix bugs inside 24 hours.
- Since
- 2015 shipping production software
- Fix window
- 24 hours on post-launch bugs
- Stage
- 0→1 idea to launched product
What you hold after the build
Each line is a result you take to market, not an activity you pay for.
Your process, encoded
Onboarding, verification, payments, support — the journeys your operation runs translated into a data model and architecture an engineer reads and extends.
AI wired where it pays
Agents, retrieval, and model calls placed inside the flows that move revenue — measured against the hours and errors they remove, not the hype they carry.
24-hour support
When a bug surfaces after launch, it gets resolved within 24 hours — not parked in a backlog while users leave.
How the build runs
- Map. I sit beside your operation, list the journeys, and we agree what “shipped” means for your first users.
- Architect. Data model, flows, and the place AI fits — decided before feature code, so the build holds as the product grows and the team joins.
- Build & ship. Production-grade code, deployed continuously, visible to you while it forms.
- Support. Post-launch issues resolved inside 24 hours while you focus on traction.
Where the development sits
Map your first AI build, in London or remote.
Tell me the operation you want automated first and the result you need it to reach.
Email Vladyslav