At the threshold
of human and AI healthcare.
AI is arriving in healthcare—fast. Organisations are being challenged to implement it safely and realise benefits. LiminalX exists to measure that readiness—for both sides—and close the gap.
The technology is arriving faster than the readiness around it.
As of late 2025, the FDA has cleared nearly 700 AI/ML-enabled medical devices—up from 6 in 2015.
The clinical AI surface is growing faster than any single department, regulator, or training programme can keep pace with.
Source: FDA AI/ML Device List · 2025report no validation in populations representative of where they're deployed.
A model that performs well on the bench can fail quietly in the room. Closing that gap is a shared responsibility—the threshold between them.
Source: Wu et al., Nature Medicine · 2021We measure both sides—and the space between them.
Two approaches. One outcome.
Are the people and the institutions using AI prepared to use it well — to recognise its limits, calibrate their trust, and act with vigilance in real-world care?
Is the AI itself fit for the population it will encounter? Has it been validated, stress-tested, and evidenced in conditions that match where it will be deployed?
Most failures don't live in the model or in the user. They live in the convergence.
Select your role.
Two frameworks. One Convergence.
From the readiness of the people and organisations (THRIVE™) to the readiness of the AI itself (VERA™) — evidence-grounded, independently scored, comparable over time.
THRIVE™
Our organisational readiness framework maps AI readiness across every dimension that matters for safe, effective adoption—from technical infrastructure to human behaviour. THRIVE™ works at both the individual and institutional level, translating personal Human Readiness Levels into a cohort view that tells organisations exactly where they stand and what needs to change.
Learn more →VERA™
Our AI product assessment framework—built to address the criteria specified in the latest international guidance from WHO, IAEA, and the FDA. VERA provides a structured, failure-aware methodology for evaluating whether an AI product is genuinely ready for the clinical environment it is entering, not just ready for its own benchmarks.
Learn more →Your readiness, made visible.
Are you ready for AI?
Take any ~map app—short, scenario-based, in your specialty — and unlock a personal dashboard that grows with each cycle.
- ✓ Personal AI Readiness Level across six locked dimensions
- ✓ Behavioural profile across five clinical traits
- ✓ Cycle-over-cycle tracking—your dashboard grows with each session
- ✓ Specialty-specific scenarios; never visible to your employer
