AI advice that survives contact with your business.
Founder-led AI consultancy with deep roots in life sciences. We help biotech, pharma, healthcare and other data-heavy organisations across Belgium and Europe figure out where AI is actually worth the effort — and where it isn't.
Where we start
85–95% of AI pilots in Europe stall before they reach production — most of all in regulated, data-heavy sectors like life sciences. The cause is almost never the model. It's the data, the ownership, or the absence of a clear problem definition from day one.
Four fixed-scope engagements. Each ends with a written document, or — for the Pilot Build — a working system you fully own. No retainers. No junior teams. No pressure to continue.
N2AI is independent. We don't resell software, hold vendor partnerships, or receive referral fees. Every recommendation is based on what fits your problem — not what's on our price list.
Where we have the deepest experience
Life sciences is our lead vertical — biotech, pharma, healthcare. We also work in finance, manufacturing and enterprise where the data is heavy and the regulatory bar is high.
Lead vertical · life sciences
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:
Adjacent sectors
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
You're writing directly to Volodimir.
Where we work
Based in Belgium, available across Europe
Headquarters
Belgium
Service Areas
Remote consultancy — available globally
On-demand projects — available globally
On-site — Belgium