AI consultancy · Brussels · ULB spin-off since 2005
Mentis helps organisations in regulated sectors across Belgium and Luxembourg put AI to work: readiness assessments, sovereign on-premise architectures, and generative AI grounded in your own documents — built by a founder-led team of AI researchers who have shipped production systems since 2005.
Answer six questions to find your most likely first AI use case — or take the 4-minute scorecard. Clarity first, commitment later.
Go straight to the service pages, or see what we have built for others.
Track record
Media & advertising
A multi-source analytics and AI platform that scores campaigns, runs pre-tests, integrates eye-tracking data and recommends optimisations — later extended with an LLM/RAG engine that explains its recommendations from historical campaign knowledge.
Read the case →Healthcare & medical research
A Cytomine-based medical-imaging and AI environment for sputum cytology in severe asthma: expert annotation at scale, AI-assisted labelling, cell detection and classification, morphology and inflammatory biomarkers — on dedicated GPU infrastructure.
Read the case →B2B software
A document-intelligence pipeline that reads large, heterogeneous document collections and extracts stakeholders, relationships, needs and pain points as structured, schema-driven data — feeding the client’s ecosystem-mapping platform.
Read the case →What we do
Strategy, compliance, data science, engineering and operations — one senior team, end to end. The AI Readiness Assessment above is where most engagements start.
Risk classification of every AI system you run or plan, an exposure register, pre-filled documentation and a governance charter — by an Independent AI Expert for the European Commission. Learn more →
LLM assistants, document automation and retrieval-augmented generation over your own knowledge — with citations, access control and evaluation, on-premise or EU-hosted. Learn more →
Forecasting, risk scoring, NLP and computer vision trained on your data, benchmarked against your metric, explainable enough for your compliance team. Learn more →
Reference architectures for on-premise LLM inference and EU-hosted stacks; pipelines, monitoring and retraining so models keep working after launch. Learn more →
Route, scheduling, load and resource optimization modelled on your real constraints — savings in kilometres, hours and service levels, measured on your data. Learn more →
We design and build custom AI applications end to end — document pipelines, APIs, integrations and interfaces — secure, tested, documented and handed over with the code. Learn more →
Industries
Each industry page comes with a live AI advisor tuned to its use cases and rules.
Why Mentis
We were building NLP and predictive systems long before large language models — so we know which problems they solve, which they don't, and which ones your regulator will ask about.
Our founder advises the Commission on AI. When we classify your systems under the AI Act, it is not a reading of the text — it is practice.
A spin-off of the Université libre de Bruxelles. Twenty years later the scientific habits remain: measure first, then decide — and say "not yet" when the data says so.
On-premise LLM inference and EU-hosted architectures are our default, not an exception — for clients who cannot send data to US clouds.
KnowledgeRAG and OptimizeFlow run in production. Operating them keeps our consulting honest about what works.
Nine senior people, founder-led. The person who scopes your work is the person who delivers it — at a fixed price, not a bench of juniors billed by the day.
We build with
Open source / open technology
Enterprise providers
Technologies we work with, chosen per project — not a list of partnerships or certifications.
See the full stack →A 30-minute readiness debrief gives you an honest read on feasibility, data, compliance exposure and a first step — usually within the week.
Mohamed Ben Haddou
Founder & CEO · Independent AI Expert for the European Commission
You talk to Mohamed, not a sales team — and the person who scopes your work is the one who delivers it.
Hands-on tutorials and opinions from our team on NLP, deep learning and where AI is heading.
Ask an IT director which AI tools employees already use and the honest answer is usually "no idea". The final dimension of AI readiness: shadow AI, the leakage vectors that matter, model risk and auditability — and why banning tools fails where offering a better alternative works. Plus: what the full six-dimension radar tells you.
Ask that question in a leadership meeting and count the seconds of silence. The fifth dimension of AI readiness is the one organisations skip because it is not technical: who owns AI, what skills exist beyond the enthusiasts, and why AI literacy stopped being optional in February 2025.
Since 2 August 2026, the bulk of the EU AI Act applies. Most mid-market organisations still have no inventory of their AI systems — which means their exposure is unnamed, not absent. The fourth dimension of AI readiness: the register, the risk classifications, what deployers actually owe, and why governance done right is a rhythm rather than a scramble.
Nobody decides their AI architecture. It accumulates — one vendor demo, one SaaS contract, one pilot at a time. The third dimension of AI readiness: what your stack actually needs to run AI in production, why sovereignty is a requirements question rather than an ideology, and how to stop vendors deciding build-versus-buy for you.
Mentis AI advisor