What we build. Full cycle — from architecture to running under load.
We take on products where the cost of failure is high: fintech, marketplaces, highload SaaS and AI systems. We design so the solution lasts for years and scales without rewrites.
SaaS platforms
A product sold by subscription: plans, payments, customer accounts — and data that never mixes between them.
- Each customer sees only their own data — isolation via RLS
- Subscriptions, plans and automatic charging
- Access rights and an audit log of staff actions
Highload systems
A system that survives the sale and the rush hour — and you know its ceiling in advance.
- Handles the surge: balancing and autoscaling
- Data survives: replication and tested backups
- You can see what happens: monitoring and a response SLA
AI solutions
AI where it saves money: matching, semantic search, parsing requests and documents.
- Search understands the customer's own words, not exact matches
- Agents whose output is validated, not taken on faith
- Where money is at stake, a human confirms the call
Integrations
Payments, delivery, marketplaces and accounting — so money and stock reconcile.
- Acquiring and fiscal receipts: no double charges
- A repeated webhook never creates a second order
- Reconciliation with the bank and the warehouse — gaps surface at once
How we approach development
Discovery
We unpack the task, constraints and goal. Output: a risk map and a clear sense of scope.
Architecture
We design the data model, API and infrastructure. Decisions and rationale are written down.
Development
In iterations, with a demo every 1–2 weeks. Tests and review are built into the process.
Launch
We ship with monitoring, load testing and a rollback plan. No heroics in production.
Support
Observability, SLA and product evolution. We stay close instead of disappearing after handoff.