Zero to launch
A new AI product, from problem definition to paying users, built with your team in the room.
Partnership — three plots
The lab takes a few partner platforms a year — the same people who ship Averil and LobeStack. You own the repository from the first commit.
Three ways an engagement starts. Say which one in the form — or ignore the labels and describe the work.
A new AI product, from problem definition to paying users, built with your team in the room.
A platform with traction that needs more users, markets, or channels without breaking.
AI capability added to software you already run — measured, gated, honest about limits.
You own the repository from the first commit. A few partnerships at a time, finished properly. No outsourced development, no billable-hour retainers, no website builds.
Not a document about software you might get later. You own the code and the decisions throughout.
Phase 01
Two weeks with your team and your data. We work out where AI genuinely helps — and where it would just be expensive.
Ends with: A scoped product thesis and an honest no-go list.
Phase 02
A working prototype with evaluation attached, so quality is a number you can watch rather than a feeling.
Ends with: A prototype your users touch and an eval baseline.
Phase 03
Weekly releases behind flags, with logging, cost tracking, and alerting in place before the first real user arrives.
Ends with: Production access, dashboards, and a runbook.
Phase 04
Your team owns the code, the models, and the roadmap. We stay on support for as long as it's genuinely useful.
Ends with: Repo transfer, documented architecture, trained team.
We take on three partner products a year. That is how many we can build without the quality of our own products slipping.
Fit
Plain language is fine. We reply within two working days — including when the answer is no.
Partnership — open plot
Plain language is fine. We reply within two working days — including when the answer is no.
Which plot fits best?
Prefer email? info@techsity.com