Earlier diagnosis. Better outcomes.
AI-powered diagnostic decision support that helps identify chronic conditions earlier, supporting patients, clinicians and the wider healthcare ecosystem.
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Sarvas Health trains and deploys advanced AI models on real-world clinical data, to deliver precise, large-scale analysis of patient health records.
The Challenge
Too many chronic conditions are diagnosed too late.
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Around half of UK adults live with one or more chronic health conditions, yet many go undiagnosed or are diagnosed only after symptoms worsen.
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Late diagnosis happens for many reasons:
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Symptoms are misinterpreted or attributed to ageing
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For women, symptoms are evaluated in the context of menopause rather than underlying disease
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People face barriers linked to socioeconomic factors and access
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Early signals may go unrecognised within high-volume care settings and multi-stage referral pathways
The result is poorer outcomes for patients and increasing pressure on the NHS, as late-stage treatment is more intensive, costly and less effective.
Our Philosophy
Turning existing health data into earlier action.
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Sarvas Health designs AI-powered systems that fit seamlessly into care pathways. Our proprietary AI model analyses medical data within routine health data to identify patterns associated with early-stage chronic disease.
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By surfacing risk earlier, our technology enables patients to be invited for focused consultations and relevant diagnostic tests, helping clinicians confirm diagnoses sooner and guide patients onto the right treatment pathway at the right time, earlier in the disease progression.
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This supports:
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Earlier intervention
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More accurate diagnosis
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Healthcare cost reduction
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Better long-term outcomes
Our Products
Built by an expert team of data scientists and clinicians, our pioneering AI model has been designed to predict chronic disease risk. ​The model can be adapted to predict the risk of any chronic disease using any medical coding system.
Our Impact
Built for the future of healthcare, Sarvas Health provides benefits across the healthcare system and is aligned with the NHS 10-year plan:
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From sickness to prevention - identifying risk earlier enables proactive intervention before conditions progress.
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From hospital to community - earlier diagnosis helps keep care closer to home and reduces avoidable hospital activity.
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From analogue to digital - our AI unlocks the value of existing health data, enabling smarter, more efficient care without increasing workload
Sarvas for:
Life Sciences Industry
Connect patients with the most effective treatments as early as possible in the disease progression.​
Healthcare Providers
Supported with data-driven insights, without added administrative burden.
Designed with trust at its core
Sarvas Health is built to meet the highest standards of data privacy, security and clinical governance.
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We operate in line with NHS information governance requirements, with our Digital Technology Assessment Criteria (DTAC) process and Data Security & Protection Toolkit (DSPT) underway. Our technology is designed for use in regulated healthcare and life sciences environments, ensuring patient data is handled securely, responsibly and transparently.
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Sarvas Health designs decision support tools that can enable earlier diagnosis and intervention, delivering better outcomes for everyone.
Founding Team
Sarvas Health is founded and led by Chief Executive Officer Martin Ashby and Chief Product Officer Clare Simpson, with senior clinical and strategic expertise from Chief Medical Officer Dr Matt Kahn.
United by a shared commitment to proactive, preventative healthcare, the team combines deep clinical expertise, lived experience and advanced technology to improve early identification of chronic conditions and reduce missed or delayed diagnoses in primary care.
Supported by:
