Introducing HeAIth: AI for Early Diagnostics

Meet HeAIth: a clinical decision support tool built by doctors for doctors, designed to assist healthcare professionals at the critical first moments of patient assessment.

The Problem We're Solving

Every day, clinicians face an overwhelming cognitive challenge at the start of diagnosis. A patient presents with symptoms—chest pain, fatigue, abdominal discomfort—and the clinician must rapidly consider dozens of potential diagnoses while managing time pressure, incomplete information, and cognitive biases.

This isn't about replacing clinical judgment. It's about supporting it at the moment it matters most: the very beginning of the diagnostic process.

Why Focus on Early Assessment?

Research shows that diagnostic errors most often occur not in the final stages of testing, but in the initial assessment phase. Cognitive overload, anchoring bias, and time constraints can cause clinicians to miss crucial differentials or order suboptimal initial investigations.

HeAIth steps in at this critical juncture. When a patient presents with symptoms, our AI-powered platform:

  • Suggests comprehensive differential diagnoses based on presenting complaints
  • Recommends appropriate initial investigations for early diagnostic workup
  • Flags red-flag symptoms that require urgent attention
  • Provides evidence-based clinical reasoning to support decision-making

Built by Doctors for Doctors

HeAIth isn't being developed by tech entrepreneurs guessing what clinicians need. We're building this with frontline healthcare professionals who understand the reality of clinical practice:

  • The overwhelming cognitive load in A&E and GP surgeries
  • The pressure of 10-minute consultations
  • The fear of missing something critical
  • The need for tools that integrate seamlessly into existing workflows

That's why we're assembling a Clinical Advisory Board of 3-5 founding GP advisors to guide every aspect of HeAIth's development.

What We're NOT

Let's be clear about what HeAIth is not:

  • Not a replacement for clinical judgment – We assist, we don't replace
  • Not a diagnostic tool – We support the start of the diagnostic process, not the final diagnosis
  • Not yet approved – We're transparent: HeAIth is in development and does not have MHRA authorization
  • Not overpromising – We acknowledge limitations and are building responsibly

Where We Are Today

As of Q3 2025, we've completed our MVP. Our core AI engine is functional, trained on medical literature and symptom-disease associations. But we're not rushing to market.

Our current focus:

  1. Advisory Board Formation – Recruiting 3-5 founding clinical advisors (applications open now)
  2. Product Refinement – Incorporating clinical feedback into algorithm and UI design
  3. Regulatory Preparation – Building toward MHRA Class IIb SaMD authorization (Q2-Q3 2026)
  4. Seed Funding – Raising £500k-700k to fund regulatory pathway and clinical validation

Our Commitment to Transparency

We believe the healthcare AI space has too many companies overpromising and underdelivering. We're taking a different approach:

  • Honest timelines – We expect MHRA authorization in Q3 2026, not "coming soon"
  • Realistic budgets – Regulatory compliance will cost £250k-500k over 12-18 months
  • Clear limitations – We acknowledge what AI can and cannot do in clinical settings
  • Evidence-based – Every claim backed by research and clinical input

You can read our full regulatory roadmap here.

Join Us

Whether you're a clinician interested in shaping HeAIth's development, an investor evaluating healthcare AI opportunities, or a healthcare organization planning for future digital health tools, we'd love to hear from you.

Join Our Advisory Board Request a Demo