15 projects, in detail
What the problem was, what we built, what it rests on and what it runs on. Most of this sits inside somebody's company under an NDA, so it is described by shape and result rather than by client name.
01 AI agents & LLM platforms 5
RUBTUR Portal — the concierge service’s internal portal
Task: remove the manual assembly of documents for a request — quotes, letters to hotels and stay programmes, in the client’s own templates.
- 5
- document types from one request
- 4
- external integrations
AI agents for Beeline
Task: take the routine off the teams — hand market monitoring, reporting, legal review and meeting minutes to agents.
- 8
- agent services in use
- 4
- document formats out
Agent platforms: Alfa-Bank and NanoForge
Task: give the client a working agent platform rather than a prototype — and turn an agent engine into a product.
- 12
- agents and a builder in the demo
- 2
- platforms: web and desktop
Documents and primary records: Prodimex and Sotex
Task: remove the manual entry of primary records and the manual preparation of legal documents — from a photo or a scan straight to a finished document.
- 9
- screens of the end-to-end process
- 4
- document types for the legal team
Mareven — AI Commerce & Intelligence
Task: show what AI actually changes across a category team’s work — as something they can click, not as a deck.
- 8
- modules on one stand
- ~20
- live endpoints
02 E-commerce & marketplaces 2
Size data control
Task: find the discrepancies between Lamoda’s size charts and the brands’ own sites — by hand that is 800 thousand rows of comparison.
- 150k
- SKUs under automatic comparison
- 800k
- rows instead of manual checking
The FashionJet → Yandex Market bridge
Task: keep orders, prices and stock in sync between FashionJet and the marketplaces without manual exports.
- ~50
- operational tools
- 2
- marketplaces in one contour
03 Image & video generation 2
B2B Video Studio
Task: build advertising video scenes of a product with an “AI director”: one world for the whole clip, with prompts editable scene by scene.
- 1
- world across the whole clip
- 4
- stages from photo to video
Content for Sportmaster and X5
Task: produce card and campaign material at catalogue scale — batch food photography pipelines and img2video.
- 15+
- prompt iterations kept
- 4
- model families in the pipeline
04 Computer vision 1
05 Dashboards & analytics 3
Hard Collection Voice Analytics
Task: find out whether collection operators follow the script — listening to every call by hand is impossible.
- 100%
- of contacts reviewed, not a sample
- 6
- script steps under control
A learning system for a large holding’s support department
Task: bring three disconnected systems into one platform for learning and testing.
- 1500
- employees moved onto it
- up to 100%
- faster onboarding
An analytics system for an AdTech company
Task: bring 20+ advertising platforms into one system — reports by team and profit by campaign.
- 30 → 500
- growth of the department’s headcount
- +300%
- department profit
06 B2C apps & games 2
ozhiv.ai — a meme video from the user’s photo
Task: take the user from the first screen to a paid clip — the whole product.
- 11+
- clip templates in production
- 2
- landing languages: RU and EN
World of Heroes — a mobile RPG
Task: build a hero-collector mobile RPG: MVP in six months, the release version in a year.
- 100 000
- installs across both stores
- 2
- regions on one backend
Something here look like your problem?
Tell us what you are building. A paragraph is enough to start.