DYAD, a UK healthtech startup, has raised £7.5m in a Series A funding round led by Sangha Capital, with participation from angel investor Bill Tai and Carbide Ventures. The round closed in April 2026 and brings the company's total funding to £15m, according to reporting from Startupmag.

The capital will accelerate rollout of BetterLetter, DYAD's clinical coding platform for primary care, and fund pilots of GENIE, its proprietary system for converting unstructured clinical documents into structured data, across secondary care and mental health services in the UK, Middle East, and United States.

The problem DYAD is solving

Primary care teams spend significant time extracting usable data from free-text clinical correspondence—a task that creates administrative cost and potential delays in patient care. DYAD's core product, GENIE, uses a multi-stage approach called Graph Enabled Information Extraction to convert long, unstructured clinical documents into structured data. Rather than relying primarily on large language models, the system employs natural language processing to identify medical entities and map them to clinical coding taxonomies, applies knowledge graphs to enforce clinical rules and logic, and uses LLMs only at the final stage to resolve remaining semantic ambiguity.

The company positions the technology as addressing the estimated £300m annual burden associated with unstructured data transfer between secondary care and primary care. By improving the speed and quality of coding and creating tasks that agentic systems can action, DYAD aims to reduce administrative friction across healthcare organisations.

BetterLetter deployment and GENIE capability

BetterLetter, the primary care offering, has been deployed in more than 200 GP surgeries and has processed over five million clinical documents to date. The system handles approximately 500,000 clinical letters each month. DYAD maintains a clinical coding team to review outputs and feed real-world corrections back into the product. Every suggestion is reviewed by a member of the practice team before it is written into the patient record.

DYAD was founded six years ago by Dr Alexander Tayler and Dr Steven Hamblin. In the funding announcement, Alexander Tayler, Co-founder & CEO, said:

"Some of the most important patient information is still trapped in documents that existing systems cannot properly integrate, creating an unnecessary administrative burden for healthcare teams. More than 200 GP surgeries are now using our technology, benefitting from a purpose built world model for clinical coding and agentic platform for healthcare administration. This investment will allow us to accelerate that growth and take our technology into other parts of healthcare."

Investor backing and strategic direction

Sangha Capital led the £7.5m round. Carolina Casas Forga, Investor at Sangha Capital, said:

"DYAD is tackling a fundamental problem facing healthcare systems, vast amounts of valuable clinical information remain locked inside unstructured documents. The company has demonstrated both the strength of its technology and clear demand within primary care. We see a significant opportunity to build on that foundation and apply DYAD's technology across the wider healthcare system."

The capital is earmarked for faster UK primary care rollout of BetterLetter and targeted pilots of GENIE in secondary care and mental health settings internationally. Sangha's investment signals continued investor interest in pragmatic automation tools that integrate with clinical workflows rather than replace them.

The company's emphasis on combining rule-based knowledge graphs with selective use of LLMs reflects growing investor and provider caution about over-reliance on black-box models for clinical decisions.

What's next

For the NHS and health systems abroad, practical gains often come from incremental improvements to administrative flows and record completeness rather than wholesale platform replacement. As startups and investors continue to explore ways to make clinical data more usable, expect more pilots that test integration into existing NHS workflows and targeted deployments in areas such as mental health and secondary care, where unstructured notes are abundant.