Scroll to explore
↓
Our clinical and technology partners
↓
Why we're building the operating system for intensive care AI
Thousands of measurements per bed, every hour, on every patient you monitor. Almost none of it is still there a week later, and none of it is visible from anywhere but the bedside.
A data lake can hold the signals. It cannot give them back to the patient they came from. Intellicens keeps every signal as one longitudinal record and puts it in front of the clinicians reviewing that patient: interactive dashboards, side by side trends, the whole admission on one screen, anywhere in the hospital. That is primary reuse, the same data working again, for the same patient, in the same admission.
Every intensive care unit will run clinical AI. The only question is whether it arrives as twenty separate procurement projects or as one platform that is already installed.
~15,000
values per monitored bed, per hour
96h
before most of it is overwritten
↓
A platform for the primary reuse of monitoring and EMR data
A Data Platform for every ICU
One platform behind every intensive care bed, turning the data you already collect into something your team can see, learn from and act on.
↳
Explore Intellicens Data Platform
Hover a capability to read what it does.
that is also an AI Marketplace.
Intellicens Data Platform is investigational medical device software: not CE marked under EU MDR 2017/745, not cleared by the FDA, and not yet available for commercial clinical use.
↓
The first AI model in the AI Marketplace
Intellicens Neo
Intellicens Neo recalculates a late-onset sepsis risk score every 30 minutes for every monitored infant, and shows which parameters drove it. In retrospective analysis it flagged sepsis a median of 11 hours before clinical suspicion [Meeus et al. 2024].
↓
Your AI model, next in the AI Marketplace
Your AI model: certified, sold and deployed
With the Intellicens Data Platform, we provide the infrastructure to validate and deploy AI models in every unit that needs them. We handle the data, the integration and the regulatory path, so your team keeps its focus at the bedside. And when your AI model runs in other hospitals, your institution shares in what it earns.
01
The platform was designed to take in external AI models. You give us a pre-processing container and a model container, we deploy them inside Intellicens and connect them to live monitor and EMR data.
02
Validate live in your own unit, then across our network, on real patients instead of a retrospective set. The platform labels your data automatically in the background, so the evidence builds itself.
03
AI models for intensive care fall within the scope the platform is built and documented for. Yours is taken up in our technical file instead of a dossier of its own, and we carry it through from there.
04
Your AI model goes live in your own unit first, then across the network. Each hospital enables it as a subscription and runs it on their own servers. They pay for it, and the revenue comes back to you.
↓
Scientific evidence
Evidence
Schouten et al. (Under review)
Retrospective, multi-center
↗
External validation across 1,165 infants at Rotterdam Erasmus UMC and Amsterdam UMC
Study protocol
Prospective, multi-center
↗
Post-implementation study on Intellicens Neo impact on time-to-antibiotic administration.
↓
News, announcements and blogs
