Production AI Build Projects on AWS — From PoC to Deployed

95% of enterprise AI pilots never reach production. The reasons are predictable: PoC architectures that don't scale, no observability, runaway inference costs, missing governance, and a gap between data science notebooks and shop-floor reliability.

We close that gap. Our build engagements take a single high-value AI use case from working PoC to a deployed, monitored, governed system on AWS — in 3-4 months.

Use cases we build

→ Predictive maintenance using IoT telemetry, time-series ML, and edge inference → Computer vision quality inspection systems with real-time alerts and audit trails → Document intelligence for engineering drawings, certificates, and supplier contracts → Supplier risk scoring and procurement intelligence with GenAI → Agentic copilots for engineering teams, operations, and technical support → Shop-floor knowledge assistants built on internal documentation and manuals

What's included

→ Production architecture design on AWS (Bedrock, SageMaker, IoT Core, EKS as appropriate) → Security, IAM, and observability built in from day one → Cost optimisation and FinOps for GenAI workloads → EU AI Act-aligned governance — risk documentation, logging, human oversight controls → Knowledge transfer to your internal team → Optional post-launch support package

Engagement model

Fixed-scope, fixed-price project after a discovery phase. We bring 1-2 senior engineers; you provide a technical counterpart and access to relevant systems and data. Most projects deliver in 3-4 months.

Why us

AWS 3× Professional certified + GenAI Specialty. We've built production GenAI systems for enterprise clients across regulated industries. Senior-only delivery — no junior consultants learning on your project. EU-domiciled, so your industrial data stays in Europe.

If you have a specific use case in mind, the conversation is most useful when you can describe the current pilot, the business outcome you're after, and the operational constraints you're working under.