Engineering AI infrastructure for ambitious companies.
We design intelligent systems around real operational data — platforms that connect fragmented workflows, automate decisions, and scale under regulation.
What we engineer
Nine disciplines, one delivery model. Each engagement is scoped around measurable operational change.
Agentic workflows wired into the systems your teams already operate.
Warehouses, contracts and pipelines that make data a product.
ESPR-ready traceability from material origin to resale.
Tier-n visibility, exception detection, landed-cost forecasting.
Human-in-the-loop automation with audit trails by default.
Decision surfaces built for operators, not for screenshots.
Multi-tenant products from first commit to first renewal.
High-throughput services, IaC, and cost-aware scaling.
Anchored provenance only when trust must be verifiable.
AI systems engineered around real operational data
Demand, delay and defect forecasting on your own history.
Specification, compliance and supplier knowledge, answerable.
Inline QA and material recognition at line speed.
Digital Product Passports built for European compliance
One identity per item. Every event signed, resolvable and readable by a phone.
Product engineering at infrastructure standards
Architecture reviewed quarterly, cost modelled monthly, deployed continuously.
Contract-first services, typed SDKs, p99 budgets enforced in CI.
Isolated tenants, regional data residency, IaC from day one.
Event bus, idempotent connectors, replayable history.
Hash-anchored events where auditors need third-party proof.
Data becomes decisions
Two weeks inside the operation. We map what actually happens.
Domain model, data contracts, and the decisions worth automating.
Small releases, real users, evaluation harnesses from week one.
Regions, tenants, volume — with cost curves modelled ahead.
Run it with you, then hand it over with the runbook.
The stack we compose from
From fragmented workflows to intelligent operating systems.
Tell us what your operation is losing to manual work. We will come back with an architecture, not a proposal deck.