We're building a preventative clinical-intelligence platform for the practices that carry primary care, anywhere in the world. Patient-reported context first, clinician always in charge.
A person's health story is scattered. A public clinic holds one part of it, a private GP another, a pharmacy a third, and the family-health history that would explain most of it was never written down at all. The clinician meets the patient cold, the clock starts, and prevention is the first thing that gets squeezed out of the room.
So Doogie gives that story somewhere to live. The patient builds a health profile on the phone they already own, in their own language and their own time, and they own it. Before the consultation the practice receives a clear, coded brief of what the patient reported. Doogie collects, structures and summarises. The clinician diagnoses, treats and decides, always.
What we believe
Safety is the spine of everything we build, and we would rather describe a control than claim an outcome. Doogie’s replies pass through rule-based code that runs before a patient sees anything, does not consult a model, and does not vary between runs. Today it enforces one thing absolutely: Doogie will not comment on medication or dose. A deterministic red-flag screen is the next control we are building, and until it is measured we will not claim it.
Doogie collects, structures and summarises. Every brief is a draft for a qualified clinician to review, accept, edit or discard, and a clinician remains responsible for diagnosis, treatment and every decision.
Consent is not a checkbox at the end. The patient decides what is collected, which practice sees it, and when to withdraw it. In this market trust is not a feature we add, it is the product.
We would rather under-promise and earn trust step by step. Doogie speaks the standards health systems already run on, and we build it with practising clinicians, not around them.
Where we are & where we're going
We would rather under-promise and earn trust step by step. Here is exactly where Doogie stands today.
Adaptive history-taking, the deterministic output guard on medication, a consent-aware patient health profile and a SNOMED-coded consultation brief, running end to end for a growing set of primary-care presentations.
Supervised evaluation inside private practices and telehealth providers, a formal clinical safety case, and benchmarking against a clinician panel, with clinicians reviewing every Doogie brief.
Structured write-back into the practice management and health record systems clinics already run, in any country, so the coded brief flows straight into the patient record and closes the loop.
Broader coverage and rollout with practice groups and funders across multiple markets, so whole populations gain longitudinal, consented health context that is measured, audited and improved over time.
Team
Two founders and a clinical advisor.
Co-founder · Product & Engineering
The engineer who designed and shipped Doogie's working product.
Joshua is a data engineer who builds the platforms behind analytics and AI products. Day to day he works across Azure, Microsoft Fabric, Python, SQL and dbt, and he is completing an MSc in Data Science at the University of London. He turned Doogie from an idea into a running clinical platform.
Co-founder · Architecture & Platform · 10+ years
An enterprise architect who delivers software in regulated, high-assurance environments.
Ayabonga is a solution architect and developer team lead, and the founder of Low Key IT. He designs and delivers enterprise software in regulated, high-assurance environments, leading architecture and technical delivery across .NET, Azure, integration architecture and DevOps for large-scale platforms.
Advisor · Clinical, Regulatory & Commercial · 15+ years
A former surgeon who has built and scaled regulated health businesses.
Amit is a healthtech and insurtech leader who trained as a surgeon before moving into ventures. He founded Peachy, a pioneering fully digital, regulated health-insurance MGA, and chairs the iFHP AI and Emerging Technology Network, connecting more than 80 health insurers across 40 markets. Earlier he led New Ventures, Strategy and M&A at Bupa, and advised boards and investors across healthcare at L.E.K. Consulting. He advises Doogie on clinical, regulatory and commercial strategy.
Work with us
We're building the safe, standards-native way AI enters the consultation, for practices wherever practices carry primary care. Patient-reported context first, clinician always in charge. If that's the future you want to build, let's talk.