Named expertise
Meet the technical and commercial leads who shape the first decision.
Build the system your next move depends on.
We help teams build products, connect systems, modernise software and apply AI to a defined job. Experienced engineers remain responsible for the decisions, architecture and quality.
Custom software / AI / integrations / cloud engineering
Engineering decisions stay with experienced people.
AI and automation can support defined tasks. They do not decide what should be built or lower the standard of engineering review.
Visible decisions
Assumptions, trade-offs and open questions are made explicit while they can still be changed.
Ownership beyond launch
Delivery, deployment and maintenance follow the way the system needs to operate after release.
Four ways into the system.
Choose the situation closest to the change you want to make.
BUILDBuild a product or internal platform.Create a customer product, internal platform, website, commerce experience or mobile application.CONNECTConnect systems and reduce manual work.Connect data and responsibilities where disconnected tools still create manual hand-offs.MODERNISEModernise an existing platform.Improve software, infrastructure or delivery practices that make every change harder than it should be.APPLY AIPut AI to work.Give AI a defined job in a process or product, with evaluation and meaningful human review.
Turn the problem into a workable plan.
The route adapts to the scope; it is not a fixed method or a guarantee that every engagement includes every stage.
Understand the situation.
Clarify what needs to change, who it affects, the current system and known constraints.
Choose the right intervention.
Compare building, buying, connecting, modernising and applying AI before committing to scope.
Make the work concrete.
Define the first useful outcome, responsibilities, dependencies and decisions that need evidence.
Plan for operation and change.
Agree how the result will be released, observed, maintained and developed further.
Engineering has names.
Meet the technical and commercial leads behind the first conversation.
Łukasz Kudrycki
Chief Technology Officer
17 years across software platforms and cloud infrastructure.
Eryk Skoczylas
Platform Engineering Lead
5 years across full-stack and cloud-native engineering.
Arkadiusz Kuryło
Head of AI Engineering
5 years designing and delivering AI solutions.
Bartosz Zieliński
Head of Growth
9 years across sales, marketing and business development.
Questions that shape the decision.
What problems are a fit?
A new or changing software product, an internal platform, disconnected systems or manual data flows, a legacy application, cloud delivery, or an AI use case with a defined job. Fit still depends on goals, constraints and scope.
What happens first?
We first clarify the goal, affected users or teams, known constraints and the current system. Only then do we recommend whether to build, connect, modernise or apply AI.
How do you price a project?
Price follows the problem, scope, dependencies and delivery model. Once those are understood, we can prepare a proposal based on explicit assumptions instead of an arbitrary package.
How long will delivery take?
Timing depends on complexity, scope and dependencies. We agree a delivery plan together and, when the scope allows, work in reviewable increments.
Can you work with an existing application?
We can assess a legacy system, identify a practical modernisation approach, and work on confirmed areas such as architecture, cloud migration and maintainability.
Where does AI fit?
AI should have a clear job in a workflow or product. Engineers remain responsible for architecture, review and quality, with appropriate attention to data, transparency and human oversight.
What happens after release?
Ongoing support can be agreed around the system’s needs, including maintenance, monitoring, infrastructure work and further development. This is not a standing SLA or 24/7 commitment.
Start with the problem. Prepare a useful first conversation.
Share what needs to change, who it affects, and the constraints already known.