About Us
The UK clinical layer for medical AI
The UK's clinical layer for medical AI — a verified clinician network, regulator-aligned and built for the next decade of healthcare AI.
Putting UK clinicians inside the loop of medical AI.
The best medical AI will be shaped by the clinicians who use it. The country whose clinicians sit inside the loop sets the standard for what safe medical AI looks like — and Britain has the most regulated medical workforce on earth to do it.
Three loops, one clinical network
AI roles for UK clinicians
We onboard doctors, nurses, pharmacists, academics, and allied health professionals into AI roles — directly with frontier model labs and through partner RLHF platforms. Every clinician is credential-verified against GMC, NMC, GPhC, or HCPC before they take a single project.
The UK's specialist medical evaluation corpus
We are building the largest specialist medical evaluation dataset in the UK — clinical scenarios authored by senior consultants and academics, graded by a calibrated UK clinician network, with inter-rater reliability and drift data tracked at the per-specialty level. Vendor-neutral, regulator-aligned, designed to anchor clinical AI assurance.
Calibrated clinical reasoning at scale
The verified network runs structured RLHF and evaluation work with proper scoring, gold injection, drift detection, and per-clinician calibration — the measurement layer most medical AI annotation programmes still don't have. This is the substrate the placement and dataset loops both run on.
Built by doctors, for doctors
Dr J. Ahmad
MD, BSc
Emergency medicine physician with extensive experience integrating AI into healthcare and residential care settings. Combines frontline clinical practice with a deep understanding of how AI can augment medical decision-making.
Dr J. Ahmad
MD
Emergency medicine doctor with hands-on experience in AI-driven healthcare solutions and residential care. Passionate about bridging the gap between clinical expertise and emerging AI technologies.
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Statutory regulator verified
2026
EnterTheLoop launched
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Professional categories
Building the UK clinical layer for medical AI
EnterTheLoop was built at the intersection of clinical medicine and AI infrastructure, by a team that understood both sides of the same problem. The healthcare AI market crossed $30 billion in 2025 and is projected to reach $110 billion by 2030. Every major lab building clinical models needs the same input: structured feedback from clinicians whose judgement is verifiable, calibrated, and traceable to a recognised regulatory standard. Most don't have it. Industry-wide, only 12% of medical AI annotation programmes report quantitative inter-rater reliability data — meaning the majority of clinical training data is being generated without the basic measurement infrastructure of the work being measured.
We exist to fix that. Every clinician on our platform is verified against their UK statutory regulator — GMC, NMC, GPhC, HCPC — before they can take a single project. Every reviewer is calibrated against gold-standard cases through our structured RLHF training programme, with documented inter-rater reliability data and longitudinal performance tracking. That measurement layer is what makes the rest of the work possible: clinicians stepping into AI roles where their judgement is auditable, and an evaluation dataset for frontier medical AI graded by a network whose reliability is documented per specialty. Specialty-matched, audit-ready, regulator-aligned — the kind of clinical signal that holds up under buy-side due diligence and EU AI Act compliance scrutiny, not the kind that needs explaining away.
The UK has one of the world's largest pools of statutorily regulated clinicians under a unified healthcare system — a strategic asset for any AI lab building medical models that need to scale safely under regulation. We work in three loops: placing UK clinicians into AI roles, running the evaluation and RLHF infrastructure that frontier medical models are graded against, and curating the largest specialist medical evaluation dataset in the UK. As medical AI moves from research into deployment, the country whose clinicians sit inside the loop sets the standard for what safe medical AI looks like. That's the loop we're building.