AI agents & LLM platforms
Assistants that do work rather than demo it: tool use, retrieval over your documents, evaluations, guardrails and a cost you can predict.
AI software team
AI products that reach production.
A small senior team. We design, build and run AI-backed software — and the ordinary product engineering around it that turns a model into a business.
- 8+
- years in production ▸ FILL IN
- 20+
- products shipped ▸ FILL IN
- 2 weeks
- to a prototype you can click
- 1 day
- to a reply, and an NDA if you need one
What we do
Six directions
E-commerce & marketplaces
Catalogue, cart, payments and the back office that runs them — with search, recommendations and generated content where they pay for themselves.
Image & video generation
Diffusion wired into a product, not a notebook: fine-tunes, render queues, moderation, storage and a cost model that survives real traffic.
Computer vision
Detection, tracking, OCR and quality control on your own footage — trained on your data, deployed to your hardware, measured on a labelled set.
Dashboards & analytics
The read path first: events, aggregates and a warehouse designed before the screen. Then dashboards that answer in one screen, not five.
B2C apps & games
Consumer products where retention is the only honest metric: mobile apps, games, onboarding, and the analytics that say whether it worked.
How we work
Four steps, and you can stop after any of them
Every step ends with something you own and can take elsewhere.
01
Discovery
What the model must do, what data exists, what "working" means in numbers. You get a scope, an architecture sketch and a fixed quote.
3 – 5 days · fixed price
02
Prototype
The riskiest part first, running on a URL, with the evaluation set that says whether the quality is there before anyone commits.
2 – 3 weeks
03
Build
Two-week increments, each deployed behind a flag, with tests, monitoring and the numbers that show it did what it should.
6 – 12 weeks
04
Run or hand over
We keep it running — cost, latency, quality drift — or hand it to your team with docs and a fortnight of pairing.
monthly · cancel any time
Selected work
Shipped, and still running
Most of it sits inside somebody's company under an NDA, so it is described by shape and result rather than by client name. All cases in detail →
A social network for sports predictors
Feed, author profiles with real money attached, and a leaderboard on settled results.
- ▸ FILL IN
- monthly authors
- ▸ FILL IN
- predictions published
A staff and learning platform
Quizzes sat in scheduled windows, with an LMS and a knowledge base reporting in by event.
- 2 400
- employees, one record
- 3
- systems, one report
A hero-collector auto-battler
Campaign, real-time arena and raids on one combat engine, on Android and iOS.
- Android · iOS
- Unity · EN and RU
A partner onboarding back office
Custom filters, a batch approval action and a moderation form replaced a shared mailbox.
- ▸ FILL IN
- time to onboard a partner
A wallpaper shop that stocks itself
Three thousand SKUs with forty properties each and a nightly import from the price list.
- 3 100
- SKUs, imported nightly
- 40
- properties per item
A wallpaper shop that stocks itself
Three thousand SKUs with forty properties each and a nightly import from the price list.
- 3 100
- SKUs, imported nightly
- 40
- properties per item
A hero-collector auto-battler
Campaign, real-time arena and raids on one combat engine, on Android and iOS.
- Android · iOS
- Unity · EN and RU
A social network for sports predictors
Feed, author profiles with real money attached, and a leaderboard on settled results.
- ▸ FILL IN
- monthly authors
- ▸ FILL IN
- predictions published
A partner onboarding back office
Custom filters, a batch approval action and a moderation form replaced a shared mailbox.
- ▸ FILL IN
- time to onboard a partner
A staff and learning platform
Quizzes sat in scheduled windows, with an LMS and a knowledge base reporting in by event.
- 2 400
- employees, one record
- 3
- systems, one report
FAQ
The questions we always get
How do you charge?
Discovery is a fixed price. After that, a fixed scope for a fixed price or a monthly team rate — whichever fits the risk.
Who owns the code and the models?
You do, from the first commit — repositories, fine-tunes trained on your data, and infrastructure described as code so you can move it without us.
Our data cannot leave the country. Is that a problem?
No. We run open-weight models on your hardware or in your cloud region, and we tell you plainly what that costs in quality and in money.
What if AI is the wrong answer?
Then we say so in discovery and you have spent days instead of a quarter. A search index or a better data model often beats a language model.
Contact
Tell us what you are building
A paragraph is enough. If it is a fit we come back with questions and a first step; if it is not, we say so.