AI & analytics for healthcare
Healthcare, planned
and predicted with AI
We optimise where care happens, how capacity is used and who attends — and build imaging AI that detects and measures disease earlier. From screening networks to brain scans, every recommendation carries a number.
Better for services. Better for budgets. Fairer for patients.
For programme managers
Evidence-backed site planning, capacity modelling and budget optimisation.
For operational teams
Live scheduling tools, demand forecasting and no-show reduction workflows.
For patients
Easier booking, with automated support for common queries and reminders.
Site-location analysis delivered for a London screening catchment, 2024
Where we work
Breast screening
Network planning, travel-time equity, van logistics and attendance for population screening programmes.
Brain tumours
AI detection on MRI/CT and true volumetric growth measurement to drive surveillance decisions.
Intracranial aneurysms
Volumetric reconstruction, morphology and blood-flow modelling to predict formation and rupture risk.
Operations intelligence
From postcode to appointment,
every step modelled
Plan the network
Network & site optimisation
Model optimal screening locations across static sites and mobile vans — add, remove and compare whole scenarios before committing to them.
Mass travel-time analytics
Real public-transport journey times between tens of thousands of postcodes and candidate sites — Google routing plus our own clustering to make city-scale search tractable.
Capacity & workforce planning
Incorporate staff availability, rota constraints and changes in site rent or availability — allocating resources and planning costed options.
Demand forecasting
Predict where screening demand will be, using demographic trends and local population change.
Operational scheduling software
Tools for staff to plan and schedule appointments across current and potential sites, with capacity analysis built in.
Dashboards & financial modelling
Interactive coverage maps, live dashboards for bookings, DNA rates and utilisation, and costed scenario comparisons — from relocating a van to changing the whole site mix.
Patient communication & fewer DNAs
Automated conversations
Handle common call-centre queries and triage routine requests automatically — cutting admin burden for the screening office.
Live booking systems
Online booking and appointment management integrated where appropriate — easier for patients, lighter for staff.
No-show prediction & intervention
Identify patients at higher risk of non-attendance and trigger targeted reminders, messages or calls at short notice to backfill capacity.
The platform
Heat Map Planner
Our interactive planning tool for screening networks.
- Live catchment map — postcode districts recolour instantly as sites are added, removed or switched off
- Populations redistribute automatically to the closest remaining sites
- Running-cost model per site with cost per woman screened
- Budget optimiser — set a budget, get ranked options to meet it
- Multi-year journey planning for mobile screening vans
Clinical imaging AI
Detect earlier.
Measure precisely.
Our research & development programme applies machine learning to MRI and CT brain imaging — built with NHS neurosurgical practice at its core.
expert outline Cognia model · ceT1 MRI segmentation (R&D)
AI detection
Identifying brain tumours and unruptured intracranial aneurysms on routine MRI and CT — pathologies that are subtle and easy to miss early.
Volumetric segmentation
True 3D measurement of tumours and aneurysms rather than linear diameter — the difference between guessing growth and measuring it.
Growth & risk prediction
Growth trajectories for brain tumours, and morphology plus blood-flow modelling for aneurysm rupture risk — surveillance decisions backed by data.
Growth prediction
The question isn't
how big — it's how fast.
For a slow-growing brain tumour, a single measurement says little. What changes management is the trajectory: is it growing, how quickly, and when will it cross the threshold for intervention?
By segmenting every scan volumetrically and fitting a growth model across a patient's imaging history, we turn scattered measurements into a projected curve — flagging fast-growers earlier and sparing stable patients unnecessary surgery and scans.
- Volumetric segmentation on each MRI, not linear diameter
- Growth-rate estimate with a confidence band from prior scans
- Projected time-to-threshold to prioritise surveillance intervals
Understanding the conditions
Brain tumours
example: vestibular schwannomaMany brain tumours are slow-growing and monitored rather than immediately treated — surgery or radiosurgery is reserved for lesions that grow or press on surrounding structures. That makes consistent measurement over time the decision that matters most.
Our work starts with the vestibular schwannoma — a benign tumour on the hearing and balance nerve, present in over 1 in 500 people over a lifetime and a textbook watch-and-wait problem. Volumetric segmentation and growth prediction flag the fast-growers earlier and spare stable patients unnecessary intervention.
Intracranial aneurysms
A weakened, ballooning segment of an intracranial artery. Most never rupture, but rupture causes subarachnoid haemorrhage with high mortality — so the clinical challenge is separating the aneurysms that need treating from the many that don't.
Risk isn't size alone: shape, location and the blood flow through the aneurysm all matter. Volumetric reconstruction plus haemodynamic modelling gives a fuller, quantified picture of formation and rupture risk than diameter on its own.
Cognia's imaging work is a research & development programme and is not a medical device or a substitute for clinical judgement.
How we work
Designed for NHS workflows
Rapid discovery
We map your current site network, constraints and objectives — access, cost, throughput, equity.
Secure data handling
Pseudonymised datasets on secure, GDPR-compliant and NHS-approved databases and systems. DPIA-ready; data minimisation by design.
Standalone or integrated
Independent planning tools, or integration into your current BSS, booking and call-centre systems where feasible.
Measured impact
KPIs defined up front — utilisation, cost per screen, travel time, DNA rate — and tracked over time.
About Cognia
Built inside the NHS,
for the NHS
Cognia is a London-based, clinician-founded health technology company. We have delivered NHS care, run the clinics and answered the phones — so our tools are built around how screening services actually work, not how a spreadsheet wishes they worked.
We work with open data wherever possible, keep patient data minimised by design, and put a measurable number on every recommendation we make.
Bartlomiej Roj MBBS
Founder & CEO
Dawid Roj MSc
Founder & CFO
Start with a 20–30 minute call
We'll look at your current pathway and identify quick wins — van placement, site mix, demand hotspots, DNA reduction. Tell us a little below and we'll be in touch.
Prefer email? Write to info@cognia.uk