
We help healthcare providers and MedTech companies find where AI moves a number that matters - taking documentation, monitoring and data work off scarce clinical teams so they spend their time with patients. It works because your people can trust it: every recommendation is traceable to the record behind it, auditable, and signed off by a person. The first step is knowing whether your data and governance can support it.
Book An AIQuriosity CallAI is already in live care - in documentation, imaging, monitoring and medical-device software. In the UK, around three-quarters of radiology departments now use AI in clinical practice; in Germany, health-system AI integration has passed the halfway mark. Adoption isn't the hard part any more. Proof is. Only around four in ten of the UK public say they're comfortable with AI in their care, the data sits across systems that were never designed to work together, and evidence, safety and human oversight can't be added late. The winners won't be the organisations with the most pilots. They'll be the ones that pick the right work, prove it, and keep clinical and regulatory trust intact.
Source: RCR Clinical Radiology Census 2025 (published 29 June 2026) - 75% of UK radiology departments use AI clinically; RCR public survey by J.L. Partners, December 2024 (released 16 May 2025) - 40% comfortable with AI in healthcare; U.S. International Trade Administration, Germany AI Healthcare Market (7 June 2026) - 52.8% integration.
AI takes on documentation, reporting and referral triage - and material ordering and management - so increasingly scarce staff spend their time with patients, not paperwork.
Imaging triage, second-reader support and risk stratification - clinically validated with our partners, fully auditable, with a human sign-off on every decision that matters.
AI-enabled device features, outcome platforms and post-market monitoring - proven in operation, not just in a demo. For one medical-technology company, an AI-ready outcome platform reached 99.9% uptime, 70% faster queries and 50% less manual processing.
Reduce manual administration and data collection - with automated capture and built-in validity checks - so clinical and commercial teams get their time back.
Accelerate decisions and pathways with data that's validated the moment it's captured.
Protect patients and revenue with full auditability and human oversight built into every workflow - for patient safety and for the regulator.
De-risk adoption by proving evidence, safety and bias controls before wider roll-out. If the evidence is weak, we say so before the money is spent.
A multinational defence and security organisation cut resource and planning cycles by around 40%, with zero sensitive-data incidents. A US healthcare provider-services organisation automated its portal and gave staff back around 30% of their week. A global medical-device manufacturer digitised endoscopy workflows - faster procedures, fewer errors.
AumentIQ (AIQ) is an AI-first digital transformation consultancy. We build the governed, auditable data foundation across clinical, operational and device systems that lets health organisations put AI into documentation, imaging support, monitoring and device features in production - with human oversight, not just in pilots.
Most stall when they meet real, regulated workflows: the data is siloed, the evidence is thin, and safety and oversight were added late instead of built in.
With a short diagnostic, then one workflow where AI will earn its place. We prove it - evidence, safety controls and a measured result - then scale. Starting small is how trust is built.
Thirty minutes with our health team. We'll find one workflow where AI earns its place, prove it, and build the trust to go further. Not a pitch.