AI advice that survives contact with your business.
We help Belgian and European organisations figure out where AI is actually worth the effort — and where it isn't. Workshops, roadmaps, and scoping work, led by people who've built the systems before.
What we do
Three ways to start, depending on where you are. None of them require you to commit to the next one.
AI Use-Case Exploration Workshop
One or two days to figure out which AI use cases are actually worth doing — and which ones aren't. A structured working session for leadership and operational teams who suspect AI could help, but aren't sure where to start or which idea deserves the first budget.
AI Roadmap Creation
A 4–8 week engagement that turns AI ambition into a sequenced, funded, AI-Act-aware plan. For organisations large enough that a single workshop isn't enough — multiple business units, multiple stakeholders, real budget at stake — and that need a roadmap the executive committee will actually fund.
AI Scoping Lab
2–4 weeks of focused, hands-on technical work to answer 'can we actually build this, and what would it cost?' A scoping lab is for organisations that have already chosen a specific AI use case and now need to know whether it's technically feasible, what the data really looks like, and what a working solution would take.
Industries We Serve
Deep in Life Sciences and Manufacturing. Useful across the rest.
Biotechnology
Most biotech AI projects fail at the data layer, not the model layer. We start by auditing what you actually have — genomics, proteomics, assay outputs — before recommending anything. If the foundation isn't there, we help you build it first.
Key Use Cases:
Pharmaceutical
Drug discovery pipelines generate enormous data volumes with uneven quality. We help you determine which AI applications will meaningfully compress your timelines — and which ones will create new compliance headaches without proportionate ROI.
Key Use Cases:
Healthcare
Healthcare organisations typically lose 30–40% of their clinical data value to fragmented systems. We help you determine which AI use cases are worth the integration cost — and scope the ones that are.
Key Use Cases:
Finance
Fraud detection and risk models are only as good as the features you feed them. We've seen many firms train models on data that looked right but reflected historical process failures. We fix the feature set before we touch the model.
Key Use Cases:
Manufacturing
Unplanned downtime costs an average of €250k/hour. The question isn't whether predictive maintenance is worth it — it's whether your sensor data is clean enough to build on. That's what we find out first.
Key Use Cases:
Enterprise
Large organisations have the data and the budget, but rarely the internal capacity to distinguish an AI project worth running from one that will drain both. We provide that judgment — before the contract is signed, not after.
Key Use Cases:
Most AI conversations start with too much ambition and not enough data.
Ours start differently. Tell us where you are — we'll tell you honestly whether we can help, and what a useful first step looks like.
Send us a message
We typically reply within one business day.
Where we work
Based in Belgium, available across Europe
Headquarters
Merellaan 32
8500 Kortrijk, Belgium
Service Areas
Remote consultancy — available globally
On-demand projects — available globally
On-site — Belgium
Prefer email?
Reach us directly at hello@n2ai.be. We read and respond to every message.