We design and deploy sovereign AI agent systems — from strategic audit through to running them in production. Secure architectures, EU AI Act compliance, measured impact.
Your teams spend real time on work AI can do reliably. We deploy the agents that give that capacity back — in production, against contracted KPIs.
Consulting and AI engineering engagements aligned to your business problem — from strategic framing to running in production.
Omicron AI Labs works with technical and business leadership to turn AI opportunities into concrete advantage. Our offer covers the full AI lifecycle: strategic audit, GenAI solution development, MLOps infrastructure and team enablement.
An independent practice with no captive vendor partnership, we recommend and deploy what actually fits your technical, regulatory and budget constraints. Every engagement is scoped with explicit KPIs, a defined scope and measurable delivery milestones.
AI maturity audit, high-ROI use case identification and a transformation roadmap. We align your AI strategy with your business objectives and regulatory constraints.
Design and deployment of bespoke AI applications: autonomous agents, RAG and GraphRAG systems, domain copilots, NLP pipelines and industrialised LLM integrations.
Bringing technical and business teams up to speed on generative AI, LLMs and MLOps practice. Bespoke workshops, lasting skills transfer, technological independence.
Four stages, each producing a concrete deliverable.
An AI project does not succeed on algorithms alone. It depends on a precise reading of the business context, a fitting technical architecture and disciplined human support. Shaped across engagements in demanding environments — investment finance, international medtech, public bodies — our four-stage method makes sure every engagement starts with the right framing, runs with discipline, and ends with genuine skills transfer.
We refuse siloed deployments and unmeasured value promises. Every stage produces a concrete deliverable — audit report, validated prototype, documented production code — that marks progress and keeps your teams aligned throughout.
High-ROI use case identification, feasibility analysis and success KPI definition. Deliverable: audit report and an AI roadmap prioritised over 6–18 months.
Rapid proof of concept with RAG or agents in two to four weeks. Technical assumptions validated with your teams before any large-scale commitment.
Rigorous model evaluation (DeepEval), robustness testing and GDPR / EU AI Act alignment. Production-ready, documented and compliant code before any deployment.
MLOps deployment on AWS or Azure, production monitoring and team training. Scaling with KPIs measured at delivery and lasting skills transfer.
Systems delivered into production for clients across finance, medtech and the public sector.
Predictive intelligence for clinical trial oversight. The autonomous agent reads sample-collection metrics, produces 36-month forecasts and automates 13 CRUD operations over OpenAPI — so clinical teams decide on live data.
Agentic assistant for tier-1 support. −45% resolution time, −20% tier-1 load, with a full audit trail on every answer.
Natural-language questions translated into validated SQL, opening data access to business teams without a technical bottleneck.
Three conversational AI assistants for a Luxembourg public service, on a full RAG architecture over proprietary data.
Large-scale patient feedback analysis. NLP pipeline over 12M+ verbatims with multilingual sentiment analysis and a Neo4j knowledge graph.
A 30-minute framing session to identify your high-ROI use cases and set out your AI roadmap. No commitment.
Analysis of your processes and recommendations built for them
Solutions focused on measurable business impact
GDPR compliance and protection of your sensitive data
