Language
Industry, not buzzword
We learn your domain in week one. In a production mandate we speak machinery, in higher education curriculum, in public sector procedural law — instead of generic consulting jargon.
Industries & Markets
Mid-market. Industry. Education. Public Sector.
We work with companies that see technology as a lever — mid-market with data architecture needs, Industry 4.0, education with AI ambition, regulated public-sector programmes. Engineering discipline is the common foundation.
Mid-market & Industry 4.0
You have data. We turn it into decisions.
Production data, ERP inventories, customer history, sensor streams — the data sources are there, often grown over years. What's missing is the layer in between: clean data architecture, ML pipelines and an interface that production workers, planners and management can actually use to decide.
We build that layer with you — deterministic first, audit-proof documented. AI comes in where it concretely improves a decision; not because it's on the roadmap.
Education & Public Sector
Regulated environment. High burden of proof.
Universities, education providers, public administrations and research institutions need AI that remains explainable: the burden of proof is high, budgets are tight, every decision must be traceable. Off-the-shelf SaaS rarely suffices; vendor lock-in is usually out.
We build systems that can be operated EU-compliant, whose outputs remain traceable and whose code your team can further develop after we leave — research and engineering from one hand.
What our mandates have in common
Three constants. Four industries.
Mid-market, Industry 4.0, Education and Public Sector — we deliver with the same engineering discipline. Pace, stack and fee model are calibrated to your maturity level.
Stack
Your tools, from day one
Postgres, FastAPI, Next.js, Kubernetes, Terraform — if you already use it, we build there. If not, we find the right stack together, without pushing our own platform.
Compliance
Audit-ready from day one
GDPR, EU AI Act, relevant national regulation — we document in parallel with the build, not in the final sprint. For regulated industries this is the entry ticket, not an add-on.
Examples
Mandates from four industries.
A selection from ongoing programmes. Detailed descriptions with outcome metrics available under NDA.
Mid-market · Industry · DACH
Data architecture for networked production
Sensor data, ERP and MES consolidated into a consistent data platform. Predictive maintenance models run audit-ready; planners work with one view instead of three Excel sheets.
Industrie 4.0Data MeshMLOps
University · Education · EU
Explainable AI support throughout the study programme
GenAI-powered learning path recommendations with full citation trail. EU-hosted, GDPR-compliant, pedagogically accompanied — students understand why the recommendation comes.
BildungGenAIEU AI Act
AI SaaS · DACH
Cost control for a RAG platform
Token budgets, caching layer, eval suite against quality drop. 41% less inference cost at the same quality level on the configured eval sets.
SaaSGenAIFinOps
Public Sector · DACH
Administrative AI with Annex IV documentation
Application triage in a state authority, EU AI Act High-Risk classification. Complete Annex IV documentation from day one; model runs in shadow mode before supporting decisions.
Public SectorComplianceGovernance
Which industry, which maturity level?
Let's talk about your domain.
30-min initial call. At the end you'll receive a first assessment — or a clear pointer to which constellation fits better.