Fullstack
with AI that truly accelerates the process

We start by discussing the problem, users, data and expected outcome. We then propose the scope of the first stage: technical analysis, a PoC or an MVP, together with the main risks and dependencies.

A PoC validates the most important technical or business hypothesis within a limited scope. An MVP is the first working product version intended for real users and already includes the required backend, interface and integrations.

Yes. We build mobile applications with Flutter for Android and iOS. A project can also include a backend, API, admin panel, analytics, publishing and optional AI features.

A skill works well for a clearly defined, repeatable task performed within an existing tool environment. Separate automation is needed when the process runs periodically or in the background, connects multiple systems, handles larger volumes and requires queues, logs and error control.

Yes, when required by data confidentiality, regulations or the need for full control over information flow. Depending on the model and infrastructure, we can plan an on-premises deployment or an isolated private cloud.

Yes. We connect solutions through APIs, webhooks, queues, databases and available integration mechanisms. Before estimating the work, we review documentation, authentication methods, limits and data quality on both sides of the integration.

We adapt security measures to the type of data and architecture. These include environment separation, access control, secure secret management, limiting the data shared with models and monitoring operations.

Yes, if the MVP has a precisely limited scope and key decisions and access are available from the start. The timeline depends, among other things, on external integrations, mobile application complexity and the app-store publishing process.

The estimate depends on scope, risks, integrations, quality requirements and deployment method. Instead of guessing the entire project up front, we can divide it into shorter stages, each with its own outcome and decision about further work.

We clearly define the transfer of code, repositories, documentation and rights to the deliverables in the agreement. This makes it clear before work begins which materials will be transferred and on what terms.

We can provide monitoring, maintenance, fixes and further development. After launch, we analyze errors, result quality, model operating costs and user behavior, then use those findings to plan the next iterations.