Turning an idea into a product is more than writing the software
Anyone building SaaS learns early that the code is the predictable part. What usually stalls is everything else: how to separate each customer's data, how to bill subscriptions, what goes into the first release and what can wait. We build platforms from scratch and also take on products that already exist and need to move forward.
- Multi-tenant architecture with real isolation
- Subscriptions, plans and billing logic
- Dashboards and usage metrics
- Evolving products that already exist
- Applied AI when it solves a real problem
Multi-tenant from day one
Properly separating each customer's data is an architectural decision, not a later adjustment. Get it wrong at the start and it becomes the most expensive thing to fix — and the most dangerous, because an isolation failure means one customer seeing another's data.
Subscriptions and billing built in
Plans, upgrades, downgrades, trials, failed payments, cancellations. This is where many products quietly lose revenue, because billing logic was treated as a detail at the end rather than part of the product.
A deliberately lean first release
We help decide what stays out. A product that tries to launch complete takes so long to reach the market that by the time it arrives it has answered the wrong question. Better to ship less and learn from real users.
AI where it solves something, not as decoration
Applied AI makes sense when it replaces repetitive work inside the product or delivers something that used to require a specialist. Beyond that it becomes infrastructure cost and a line on the website that does not justify the subscription.
FAQ
- Do you work on products that already exist?
- Yes. Many cases are exactly that: the product is live, has grown beyond what the initial structure could handle, and needs refactoring, new modules or performance work. We start by understanding what is standing before proposing changes.
- What does it cost to keep a SaaS running?
- It varies with usage volume and architectural choices. Part of the work is precisely avoiding decisions that get expensive as the base grows — that can be estimated properly after discovery, and we would rather quote a real number than guess beforehand.
- Do you take equity in the product?
- We work as a development supplier, with defined scope and budget. If there is interest in another model, that is a case-by-case conversation.
- Who owns the code?
- It depends on what we agree. Ownership of the code and the product is set out in the contract: if you want full title, that goes into the scope and the price. Whatever the model, the terms are clear in the quote — before we start, not after.