Build AI that moves your numbers.
Strategy, engineering, platform, and operations for European growth-stage and mid-market companies. Production AI that ships, gets operated, and keeps moving the business, not another pilot that dies in a slide deck.

- Since
- 2020
- Shipped
- 0+
The frameworks your security and procurement teams will want to see.
ISO 27001In progressCertification Q2 2026
ISO 42001In progressCertification Q2 2026
GDPRCompliantEU data residency by default
Strategy, delivery, and operation. One team.
Most AI programs fail in the handoffs. We keep strategy, engineering, and operations under one accountable team so nothing gets lost between the whiteboard and production.
- Know exactly where AI pays back.
- AI Blueprint, opportunity mapping, feasibility, investment thesis. Fractional CTO and CAIO partnering with your leadership.
- Ship production AI end to end.
- Full-stack teams across AI, ML, data, platform, DevOps, and program management. Full product builds and capability projects, outcome-priced where the business case supports it.
- Keep AI working after launch.
- MLOps, model governance, drift monitoring, retraining pipelines, and AI observability over cost and performance per project.
- Move your team into change.
- Workshops, enablement programs, and change management for leaders and operators. Quieter than our delivery work, important when adoption is the hard part.
The people who hired us, in their own words.
“Working with Luka and the entire Datablooz team has been an outstanding experience. We hired them to develop a complex AI-powered SaaS product for 33 Elevated, with a focus on the construction industry, and their performance exceeded our expectations at every turn. From the initial concept to the fi…”
- Delivery posture
- Exceeded expectations
- Responsiveness
- Near-immediate
- Strategic input
- Beyond scope

Production AI across the capabilities that actually move numbers.
Every industry below is backed by at least one shipped program. Click through for the case stories.
Governed, monitored, and retrainable by default.
Data lineage, model evaluation, bias checks, human-in-the-loop review where it matters, drift monitoring, and retraining SLAs. Baked into delivery, not bolted on after launch.
See our trust posture- Data lineage
- Every dataset tracked to its source.
- Model evaluation
- Performance, bias, and failure modes measured.
- Human-in-the-loop
- Review queues where the stakes are real.
- Drift monitoring
- Retraining SLAs on every production model.
Thinking about a real AI initiative?
Start with a call. 30 minutes, no deck, no pitch. Bring the use case you are actually trying to solve. We will tell you honestly whether AI is the right move, and if so, how we would approach it.