• Agentic AI consulting firm
  • Paris
  • Mid-market & enterprise

Agentic AI consultancy: from POC to AI agents in production

Omicron AI Labs is an independent agentic AI consulting firm based in Paris. We audit, design and deploy AI agents, multi-agent systems, RAG architectures and MCP integrations into your information system — from roadmap to production. Secure architectures, continuous evaluation, EU AI Act compliance and measured impact.

Your teams lose time to repetitive tasks, knowledge that's hard to put to work, or decisions that take too long. We deliver the systems that assist or automate them — in production, with KPIs defined from the framing stage.

AI audit & roadmap Business AI agents RAG & internal knowledge MLOps & observability EU AI Act & GDPR
8+ Years of AI/ML & Python
~4 Years of GenAI in production
−45% Support resolution time (Agentic AI)
−20% Tier-1 support load (Navigator AI)

Our agentic AI consulting services

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.

Looking for a single senior point of contact for your AI agents? See the agentic AI consultant in France offer.

AI Strategy

AI maturity audit, high-ROI use case identification and a transformation roadmap. We align your AI strategy with your business objectives and regulatory constraints.

  • Audit report & opportunity map
  • AI roadmap prioritised over 6–18 months
  • Validated proof of concept
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Agentic AI, RAG & Cloud Engineering

Design and deployment of bespoke AI applications: autonomous agents, RAG and GraphRAG systems, domain copilots, NLP pipelines and industrialised LLM integrations.

  • Production-ready AI agents (Bedrock, AgentCore, Strands)
  • Semantic RAG systems (OpenSearch, vector stores)
  • APIs & technical documentation
  • CI/CD pipelines (GitLab CI, GitHub Actions)
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Training & Enablement

Bringing technical and business teams up to speed on generative AI, LLMs and MLOps practice. Bespoke workshops, lasting skills transfer, technological independence.

  • Hands-on GenAI & prompt engineering workshops
  • MLOps and AWS / Azure deployment training
  • Internal documentation & support
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Your agentic and generative AI expert

Technical expertise and strategic vision behind your AI transformation

Elhadji Ngom — Founder, Omicron AI Labs Founder & Chief AI Architect

Elhadji Ngom — Founder & Chief AI Architect, Omicron AI Labs

The career of Elhadji Ngom embodies a rare fusion of academic rigour and operational excellence at global scale. An expert in applied mathematics and artificial intelligence, he brings over 8 years of proven experience designing and deploying mission-critical AI systems in enterprise environments.

His international career has taken him through complex engagements at leading firms across major financial and technology hubs including Paris, Luxembourg and New York. That global perspective shapes the vision behind his firm, Omicron AI Labs.

Built on the conviction that AI must transform businesses sustainably, Omicron AI Labs pairs scientific rigour with engineering discipline to deliver production-ready GenAI solutions. The firm supports clients through every critical stage, from initial strategic framing to full-scale production.

Elhadji is also a recognised practitioner of agentic and AI-assisted coding — he orchestrates Claude Code and OpenAI Codex in tandem to accelerate development cycles without sacrificing production quality. This very site is built and maintained with those tools.

AWS Cloud Practitioner Azure Data Scientist Neo4j Professional Certified Stanford ML Certified
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Technology for reliable AI systems

A stack chosen for its business benefits — robustness, sovereignty, cost control.

Intelligence

State-of-the-art language models

Selecting the best-performing proprietary and open-source LLMs to deliver GenAI solutions that are robust, accurate and fit for each business context.

GPT-4o / GPT-4.5 Anthropic Claude (Sonnet, Opus) 4 Mistral Large, Google Gemini 2.5 Pro Amazon Nova Pro, Amazon Titan-embed v2 Llama 4 (open source)
Orchestration

Multi-agent systems

Autonomous agent architectures able to plan, collaborate and resolve complex business tasks — with human oversight and built-in guardrails.

Agentic & AI-Assisted Coding

From code to cloud, AI-driven

From writing code to sovereign cloud deployment: Claude Code and Codex for velocity, SonarQube · Semgrep · CodeRabbit for quality, Terraform and GitHub Actions for infrastructure as code — all in short cycles with human review at every critical step.

Claude Code (Anthropic) OpenAI Codex · Cursor SonarQube / SonarCloud CodeRabbit (AI PR review) Semgrep SAST Ruff · ESLint · Pylint pre-commit hooks Terraform IaC GitLab CI · GitHub Actions AWS Bedrock & AgentCore Azure (certified) Kubernetes / EKS
Trust

Reliable, controlled AI

Continuous evaluation and monitoring for AI that is transparent, safe and compliant — hallucination monitoring, guardrails and a complete audit trail in production.

AgentCore Eval - DeepEval Hallucination monitoring AI guardrails Complete audit trail GDPR & EU AI Act OpenSearch

Our AI delivery method

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.

Audit & Strategy

High-ROI use case identification, feasibility analysis and success KPI definition. Deliverable: audit report and an AI roadmap prioritised over 6–18 months.

Prototype (PoC)

Rapid proof of concept with RAG or agents in two to four weeks. Technical assumptions validated with your teams before any large-scale commitment.

Hardening & Testing

Rigorous model evaluation (DeepEval), robustness testing and GDPR / EU AI Act alignment. Production-ready, documented and compliant code before any deployment.

Scale (Production)

MLOps deployment on AWS or Azure, production monitoring and team training. Scaling with KPIs measured at delivery and lasting skills transfer.

AI agents delivered into production

Systems delivered into production for clients across finance, medtech and the public sector.

Vigilant IQ — Clinical trials AI agent

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.

Text-to-Expression — QuartzBio EDP agent

Biomedical analysis accelerator for the QuartzBio EDP platform. The agent converts natural-language queries into validated SolveBio expressions with automatic verification built in — sharply cutting time-to-insight for data science teams.

GenAI support agent

Agentic assistant for tier-1 support. −45% resolution time, −20% tier-1 load, with a full audit trail on every answer.

Data Analyst Agent — NL-to-SQL

Natural-language questions translated into validated SQL, opening data access to business teams without a technical bottleneck.

INFPC — Virtual assistants, Luxembourg

Three conversational AI assistants for a Luxembourg public service, on a full RAG architecture over proprietary data.

KONVOO TEP — Patient intelligence, pharma

Large-scale patient feedback analysis. NLP pipeline over 12M+ verbatims with multilingual sentiment analysis and a Neo4j knowledge graph.

Why choose Omicron AI Labs

What sets Omicron AI Labs apart in the AI consulting market

In a market saturated with unfulfilled AI promises, Omicron AI Labs takes a differentiating stance: accountability for results. An engagement is only accepted if we're convinced we can deliver measurable impact — and declined if the context doesn't allow it. That selectivity is the foundation of our credibility.

These commitments aren't sales talk: they shape how every project is scoped, built and delivered. They apply to every engagement, from proof of concept to large-scale deployment.

Trust & Sovereignty

Our commitments for responsible, secure and compliant AI

EU AI Act & GDPR compliance

Privacy-by-design architecture, regulatory documentation and alignment with the European framework — from the design phase onward.

Sovereign cloud & open source

Deployment in private VPCs, open-source alternatives available and full control of your data — with no hyperscaler lock-in.

End-to-end data security

Encryption, granular access control, complete audit trail and isolation of sensitive data at every stage of the AI pipeline.

Frequently asked questions about our AI engagements

Answers to the first questions before starting an agentic or generative AI project.

What does an AI framing session cover?

In 30 minutes, we scope the process you want to improve, the data available, security constraints and the expected outcome. You leave with an initial recommendation on which use case to prioritise.

What kind of AI projects do you support?

AI audit, business AI agents, RAG assistants on your data, process automation, MLOps, EU AI Act and GDPR governance: we work from framing through to running in production.

How do you secure an AI agent in an enterprise setting?

Access rights are scoped, sensitive actions stay subject to human validation, and every significant decision is logged. The system is evaluated continuously and built for your GDPR and EU AI Act requirements.

What is agentic AI, and how does it differ from a chatbot?

A chatbot answers a question. An AI agent pursues a goal: it plans, calls tools and APIs, queries your data and acts inside your systems, with guardrails and human validation on sensitive actions. Agentic AI is the discipline of designing these agents, alone or as multi-agent systems.

How do you choose among agentic AI companies and providers in France?

Pick a provider that designs the POC for production from day one: business KPIs set at framing, an evaluation set, security and integration with your information system. Omicron AI Labs, an independent agentic AI consultancy based in Paris and founded by Elhadji Ngom, takes mid-market and enterprise teams from POC to production, with agents already in production: a clinical-trials agent (Vigilant IQ), a tier-1 support assistant (Navigator AI), and text-to-SQL and text-to-expression agents.

Which technologies do you use to build AI agents?

We work with AWS Bedrock and Bedrock AgentCore, the Strands framework, the MCP and A2A protocols, and RAG and GraphRAG architectures. The choice depends on your context: cloud, sovereignty constraints, existing systems and GDPR and EU AI Act requirements.

How do you evaluate an AI agent and take it to production?

KPIs are defined at framing and measured at delivery. The agent is tested on representative evaluation sets, observed in production (traces, cost, quality) and deployed through CI/CD pipelines, with human validation on high-risk actions.

Why do so many AI agent POCs fail before production?

Without KPIs, evaluation, integration with the information system and security from day one, the prototype does not scale. The causes and the way out are covered in our article “POC Purgatory: why 90% of AI projects never reach production”.

Do you offer conversational AI consultancy and predictive analytics?

Yes. We build conversational assistants on RAG architectures, such as the Navigator AI tier-1 support assistant or the three assistants deployed for a Luxembourg public service, and predictive analytics agents, such as Vigilant IQ for clinical trial oversight. For a small business or a large enterprise alike, we start from a measurable use case before choosing the technology.

Where we work

Registered in Paris, on-site and remote engagements. No walk-in office.

Registered office

Omicron AI Labs
Paris, Île-de-France, France
SASU · SIRET 102 722 147 00018

Coverage

On site across Paris and Île-de-France. Remote or travelling across France, Belgium, Switzerland and Luxembourg depending on the engagement.

Meeting us

Video call for the 30-minute framing session, then workshops at your offices during the engagement. By appointment only, through the form or the online calendar.

Let's talk about your AI project

A 30-minute framing session to identify your high-ROI use case, confirm the prerequisites and choose the next step. No commitment.

Choose a slot:
Book the 30-minute session — or fill in the form below

Tailored strategy

Analysis of your processes and recommendations built for them

Fast ROI

Solutions focused on measurable business impact

Security guaranteed

GDPR compliance and protection of your sensitive data

Response time: within 48 business hours, by e-mail, directly from our team.

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