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 & roadmapBusiness AI agentsRAG & internal knowledgeMLOps & observabilityEU AI Act & GDPR
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.
Production-ready AI agents (Bedrock, AgentCore, Strands)
Bringing technical and business teams up to speed on generative AI, LLMs and MLOps practice. Bespoke
workshops, lasting skills transfer, technological independence.
Technical expertise and strategic vision behind your AI transformation
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 PractitionerAzure Data ScientistNeo4j Professional CertifiedStanford ML Certified
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.
Continuous evaluation and monitoring for AI that is transparent, safe and compliant — hallucination
monitoring, guardrails and a complete audit trail in production.
AgentCore Eval - DeepEvalHallucination monitoringAI guardrailsComplete audit trailGDPR & EU AI ActOpenSearch
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.
01
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.
02
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.
03
Hardening & Testing
Rigorous model evaluation (DeepEval), robustness testing and GDPR / EU AI Act alignment. Production-ready,
documented and compliant code before any deployment.
04
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.
Production-grade code
Every deliverable is documented, tested and deployable under real conditions. No throwaway PoCs: we ship
code that is maintained, versioned and monitored.
Deadlines kept
Rigorous milestone management with transparent reporting. You always know where your project stands and
what will be delivered by when.
Measurable ROI
Every engagement is scoped with KPIs defined upfront. We measure the real impact of our solutions:
productivity, cost, quality, time.
GDPR compliance
Architecture designed from day one for data protection. Data sovereignty, access control, audit trail:
security is never optional.
Sector expertise
Hands-on experience in investment finance (ESG, LP surveys), health & pharma (NLP, clinical trials)
and B2B SaaS (AI support, automated BI). We speak your business language.
Skills transfer
We don't create dependency. Every engagement includes the documentation, training and support your teams
need to become self-sufficient.
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.
What our clients say
Feedback from CTOs, Heads of Data and business leaders after go-live.
★★★★★
[Client quote — 2 to 3 sentences on the outcome.]
[First Last][Role], [Company]
★★★★★
[Client quote — 2 to 3 sentences on the outcome.]
[First Last][Role], [Company]
★★★★★
[Client quote — 2 to 3 sentences on the outcome.]
[First Last][Role], [Company]
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?
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.
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.
AI & Data Blog
Latest articles
Technical and strategic analysis for CTOs, Heads of Data and digital decision-makers at mid-market and
enterprise companies. Published in English and French.
Agentic AI · Buyer's Guide
How to choose an agentic AI consultant in France
Four types of providers, seven criteria and the questions to ask in the first call.
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