IIIHealthcare AIClinical AI, chosen for the clinic that has to use it.
Good clinical AI already exists. What most hospitals lack is someone independent to say which product fits their workflow, their regulator and their data rules — and what it will cost per case. That is our job, for providers who want to buy well and for developers who want to enter the region properly.
The solutions we work with
Radiology AI
The problem: too few radiologists, growing scan volumes, and minutes that matter in stroke.
How it works: software reads CT and X-ray studies as they are acquired, flags suspected stroke and critical chest findings, and moves those studies to the top of the worklist.
Who it is for: emergency departments, stroke centres, teleradiology providers, hospital groups.
Status: market-entry partnership with developers of clinically validated products; regulatory pathway for the Gulf mapped.
Digital pathology and AI-assisted histopathology
The problem: a shortage of pathologists and biopsy turnaround measured in weeks; models trained on populations unlike your own.
How it works: slides are scanned and managed in a digital workflow with case management, reporting and telepathology; decision-support algorithms assist in breast, lung and colorectal cases; the platform can be hosted in-country and validated on local data.
Who it is for: hospital laboratories, reference laboratories, university pathology departments, research groups.
Status: market-entry partnership; platform assessed in depth, localisation under way.
Laboratory AI — blood analysis
The problem: manual review of blood films is slow and varies between operators.
How it works: image-based AI classifies cells and flags abnormalities for the specialist to confirm.
Who it is for: hospital and independent laboratories.
Status: market-entry partnership; under evaluation with laboratories.
Hospital command centre and clinical data platforms
The problem: leadership cannot see beds, flow, quality and cost in one place; data sits in separate systems.
How it works: a platform unifies hospital data, shows operations in real time and supports clinical and managerial decisions.
Who it is for: hospital groups, health clusters, ministries.
Status: market-entry partnership; regional use cases scoped.
Telehealth and digital maturity
Virtual-care platforms for clinics, and independent assessment of a hospital's electronic-record maturity against international models, with a roadmap to the next stage.
In our own workshop — hair-transplant graft planning
An AI tool that turns a standard set of scalp photographs into an instant graft estimate and zone plan, for clinics that want consistent first consultations and candidates who want a credible number before they travel. In development.
In our own workshop — delivery-risk scoring for online stores
A tool for WooCommerce merchants in the Gulf that scores each new order for the likelihood it will be refused at the door, so you confirm, adjust or hold it before you pay to ship it. In development.
What you get as a provider
- An independent shortlist: what each product does, the evidence behind it, and where it fails
- A regulatory answer before you sign: device classification, authorised representative, in-country data hosting
- A pilot designed around one clinical question, with success measures agreed in advance
- A commercial model you can budget — per study, per seat or licence
What you get as a developer
- A 90-day market-entry plan: regulator first, then reference sites
- Introductions to hospitals, laboratories and clusters
- Local entity, hosting and partnership structures that satisfy data-residency rules