Service
AI & data
Practical AI deployment and data work that delivers a measurable result.
- AI
- ML
- Data
What this service solves
AI is available today, but deploying it so that it genuinely saves time or money takes more than calling an API. You need prepared data, the right approach and validation in real operation.
Companies have data scattered across several systems and do not know what can be extracted from it. They lack a way to turn data into decisions.
What you get out of it
- A clear benefit — hours saved, more accurate decisions or a new product feature.
- A solution built on your data, not on generic demos.
- Validation at small scale (proof of concept) before a large investment.
- The option to run the model on your own infrastructure or with a provider, based on your data requirements.
What's included
Data analysis
Mapping the sources, quality and potential of your data.
Proof of concept
Fast validation that the chosen approach works on your data.
Model design
Choosing between a custom model, open models and commercial APIs.
LLM integration
Connecting language models to your systems and knowledge base.
Computer vision
Image processing for quality control, recognition or measurement.
Deploy & monitor
Running the model in production and tracking its quality over time.
How we work
- 01
Discover & analyse
We go through the goal, users, constraints and budget. We turn it into a brief that can be measured.
- 02
Architecture & design
We design the technical solution and the application structure. We decide what to build custom and what to reuse.
- 03
Design & prototype
We prepare wireframes and a clickable prototype so you can see the result before the first line of code.
- 04
Build
We build in short iterations with regular demos. You can shape the direction as we go.
- 05
Test & QA
Automated tests, manual testing on real devices, plus accessibility and performance checks.
- 06
Deploy
We deploy to production, set up monitoring and hand over documentation and access.
- 07
Support & evolve
We provide warranty, extended support and further development as the product grows.
Engagement models
Workshop
A one-day session where we identify concrete opportunities for AI.
Proof of concept
Validation of a single use case on your data.
Production rollout
The path from prototype to a live solution.
Typical timeline
- Workshop: 1 day
- Proof of concept: 3–6 weeks
- Production rollout: 2–4 months
Frequently asked questions
Do I need a huge amount of data?
Not always. Often well-selected and labelled data is enough, or a combination of your data and public models.
Will our data stay safe?
We design the solution so the data stays where you need it — including the option of fully local operation.
Want to talk it through?
Tell us what you need. We will go through scope, options and next steps with no obligation — and suggest where to start.
Pricing on request. We usually reply with an estimate within 24 hours, no strings attached.