Custom Software
Custom software starts with a clear question: what problem should it solve, and for whom? Solvrs builds web applications, internal tools, and AI solutions for organizations that need software that truly fits their processes. Sometimes we start with a proof of concept, sometimes directly with an MVP — but always with short iterations, clear choices, and focus on what needs to work in practice.
Continuous improvement cycle
We work in short sprints. At the end of each sprint, there's something working to test, so you quickly see what's right and where we need to adjust.
Plan
Define sprint goals, prioritize the backlog, and align on scope with stakeholders.
Continuous
From first idea to working software
We start small, test early, and only build further once the foundation is solid. This way you keep control of scope, budget, and pace, while step by step working toward a solution that works in practice.
1
Sharpen
We map the problem, the users, and the technical requirements. No lengthy preparation phase, just quickly getting clarity on what makes sense to build first.
2
Proof of concept
We build the core of the solution with real data or realistic scenarios. This way you see early whether it works technically, feels logical for users, and where adjustments are needed.
3
MVP or go-live
Once the foundation is solid, we build toward a version ready for use. With the integrations, stability, and manageability needed to bring the solution live properly.
Who is custom software for?
Companies stuck with spreadsheets, loose tools, or manual work who want a better application
Teams that need a custom internal tool, client portal, or AI application
Product teams that want to add AI functionality to existing software without starting over
Scale-ups and SMEs looking for a technically strong building partner who can also think along about scope and priorities
Tell us what you want to build
Describe your idea, process, or product question. We'll respond within 2 business days with an initial assessment of the logical approach.
Frequently asked questions
Which AI technologies do you use?
We choose the stack based on the product, not the other way around. Think models from OpenAI, Anthropic, or Google, with for example Python, React, and Node.js for the application around it. If AI doesn't add anything somewhere, we'll say so.
What happens after the software is delivered?
Usually it doesn't stop there. We can handle monitoring, maintenance, and further development, or cleanly hand over the software to your team. The goal is that what we build stays usable and can grow with you.
Can you add AI to our existing software?
Yes. Often an existing product doesn't need to be rebuilt from scratch. We first look at where AI truly adds value — for example in search, summarization, classification, or copilots — and integrate that step by step into your current architecture.
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