THE NHS HAS A £300M PAPERWORK PROBLEM — DYAD HAS RAISED $10M TO HELP TACKLE IT

London healthcare AI company DYAD has raised $10 million after its technology processed more than five million clinical documents and expanded into more than 200 GP surgeries, as it prepares to take its approach beyond primary care into secondary care, mental health and international markets.

Artificial intelligence’s next significant healthcare opportunity may not begin with diagnosing disease or discovering new medicines.

It may begin with the enormous quantity of information already moving between doctors.

London-based healthcare AI company DYAD has raised $10 million in a Series A funding round as it targets one of the less glamorous but potentially consequential problems facing healthcare systems: turning long, unstructured clinical documents into information that can actually be incorporated into patient records and acted upon.

The round, led by Sangha Capital with participation from existing investors and a syndicate including technology investor Bill Tai and Carbide Ventures, closed in April 2026.

It takes DYAD’s total funding to $19.5 million.

The company will use the capital to expand across UK primary care while testing its technology in secondary care and mental health, with further ambitions in the Middle East and United States.

THE £300M INFORMATION PROBLEM

DYAD’s argument is that valuable clinical information remains trapped inside documents that require healthcare professionals to read, interpret, code and transfer it manually.

The company says its primary-care product, BetterLetter, targets an estimated £300 million annual burden associated with unstructured data transfer between secondary and primary care.

“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,” said Dr Alexander Tayler, CEO and Co-Founder of DYAD.

“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.”

FIVE MILLION DOCUMENTS — AND COUNTING

Founded six years ago by Dr Tayler and Dr Steven Hamblin, DYAD has developed a proprietary AI system called GENIE.

The technology extracts information from unstructured clinical documents and converts it into structured data that can be incorporated into patient records and used to create tasks for agentic systems.

In primary care, GENIE powers BetterLetter, DYAD’s AI-assisted clinical coding platform.

According to the company, BetterLetter has now processed more than five million clinical documents and is supporting approximately 500,000 clinical letters each month across more than 200 GP surgeries.

Crucially, the system does not autonomously place its suggestions into a patient’s record. DYAD says every suggestion is reviewed and approved by a member of the practice team before reaching the record.

The company also retains its own clinical coding team, allowing the technology to learn from real-world interactions and workflows.

NOT JUST ANOTHER LLM

DYAD is positioning its technology differently from healthcare AI products built principally around large language models.

GENIE uses what the company calls Graph Enabled Information Extraction, a multi-stage process combining natural language processing, knowledge graphs and LLMs.

Natural language processing identifies medical entities and connects them to the appropriate clinical coding taxonomy. Knowledge graphs then apply defined clinical rules and logic, while LLMs are used at the final stage to help resolve semantic ambiguity.

The objective is to make clinical correspondence faster to process while increasing the quality and depth of coding.

For healthcare providers, the potential value lies not simply in automating an administrative task but in turning information buried inside documents into structured patient context that can be used elsewhere.

FROM GP SURGERIES TO THE WIDER HEALTHCARE SYSTEM

The Series A marks the next test of whether that model can move beyond general practice.

DYAD plans to pilot applications of GENIE in secondary care and mental health services, where progress notes, referrals and care planning create similar information-management challenges.

International expansion is also on the agenda, particularly in the Middle East and US.

Carolina Casas Forga at Sangha Capital said the investor saw a wider opportunity beyond the company’s initial primary-care market.

“DYAD is tackling a fundamental problem facing healthcare systems, vast amounts of valuable clinical information remain locked inside unstructured documents,” she said.

“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.”

AI’S LESS GLAMOROUS HEALTHCARE OPPORTUNITY

Much of the excitement surrounding healthcare AI has focused on applications that appear transformative: diagnosis, drug discovery, medical imaging and personalised treatment.

DYAD is making a bet on something more prosaic.

Healthcare already possesses enormous quantities of potentially useful patient information. The difficulty is that much of it exists in formats that require humans to spend time finding, reading, interpreting and transferring it.

If DYAD can demonstrate that its approach works beyond the 200-plus GP surgeries already using its technology, its opportunity becomes substantially larger.

Primary care, in that sense, is not intended to be the destination.

It is the proving ground for a much bigger proposition: whether AI can turn the healthcare system’s mountain of documents into information that clinicians and other systems can actually use.

DYAD BY THE NUMBERS

• $10 million Series A
• $19.5 million raised to date
• 200+ GP surgeries using its technology
• 5 million+ clinical documents processed
• Approximately 500,000 clinical letters per month
• £300 million estimated annual burden targeted by BetterLetter
• Founded six years ago
• Expansion planned across primary care, secondary care and mental health
• International ambitions include the Middle East and United States