R&D projects

Some problems have no ready answer. The data is unusual, the accuracy requirement is strict or nobody has tried the approach in your setting. An R&D project is how we find out what is possible before anyone commits to building a product.

We test approaches on your data and move toward a working prototype in stages, each ending with a decision we make together.

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When an R&D project fits

Choose an R&D project when the main question is whether something can be done, or how well. If the method is already known and the question is how to build it reliably, a development project is the better fit.

Typical signs: no published method matches your data, existing tools fall short of the accuracy you need, or the result depends on combining methods in a new way.

How a project runs

Framing

We define the problem, the success criteria and the data together. Before each stage starts, we write down its measurable goals and agree on what result would justify the next step.
Feasibility

A short study on a sample of your data shows which approaches are promising and where the main risks are.
Experiments

We develop and compare methods, measure them against the criteria set during framing and share results as we go. If an approach does not work, we say so early and explain why.
Prototype

The most promising approach becomes a working prototype that can be tested in conditions close to real use.
Handover or next phase

You receive a report on the approaches tried, the results and their limits, with the code, models and experiment records needed to reproduce them, and our recommendation for the next step. You decide whether to go to production, continue the research or stop. You have the same choice at the end of every earlier stage.

Frequently asked questions

Who owns the results of an AI R&D project?

Ownership of the code, models and findings is agreed in the contract before work starts, depending on the project and how it is funded.

Do we need a lot of data to start an AI R&D project?

Not necessarily. A feasibility study can start with a sample, and part of the work is finding out how much data the problem needs.

Can an R&D project receive public funding?

Often, yes. Many projects qualify for national or international R&D support, and we can also join funded projects as the AI research partner.

What if the research shows it cannot be done?

You still get a useful answer. The report shows what was tried and why it fell short, and knowing this early usually keeps a much larger investment from going to waste.

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R&D projects
For problems with no proven solution yet. We test approaches on your data and work toward a prototype in agreed milestones. At each milestone we tell you plainly what looks feasible and what doesn't.
Software development & consulting
For problems with known solutions. We build production software on proven methods, or advise your team on architecture, tooling and model choice.
Funded research
Joint R&D projects backed by national and international research funding, with industry and academic partners.
Corporate training
Training programs tailored to your team. Topics include everyday work with AI assistants, product development, integration and strategy.