Heidi secures £48m from Point72, hits £345m valuation as NHS use tops 60%

Heidi valued at about £346m after Point72 leads £48m Series B

Healthcare AI firm Heidi will announce a $65m (£48m) Series B round led by Point72 Private Investments, valuing the company at roughly $465m (£346m). The company says its tools are now used by more than 60% of NHS GPs to strip out administrative burdens and return time to clinicians.

Heidi automates clinical documentation, evidence search, and follow-up communications. The goal is straightforward: reduce paperwork, protect clinician wellbeing, and increase patient-facing time without compromising safety.

Adoption and impact inside the NHS

In the UK, Heidi reports supporting over 340,000 patient consultations each week across primary care. Users include One Care and Modality Partnership, the NHS's largest GP super-partnership.

Pilots are live with NHS Trusts in the North West London Acute Provider Collaborative, serving around 2.2 million people, and One LSC in Lancashire and South Cumbria, serving nearly 1.8 million people. The company estimates its administrative aids save British doctors about 3 million hours each year.

Globally, Heidi cites support for more than 70 million consultations in the last 18 months, returning over 18 million hours to frontline clinicians through streamlined admin.

Funding details and expansion plans

The round is led by Point72 Private Investments, part of Steven Cohen's investment group. Existing backers Blackbird, Headline, and Latitude (LocalGlobe) also participated, bringing total funding since inception to nearly $100m.

New capital will accelerate expansion in the US, UK, and Canada. In Britain, Heidi plans to double its workforce to meet growing NHS demand.

Why this matters for healthcare teams

Clinician time is shrinking while demand rises. Tools that automate documentation and follow-up can relieve pressure on appointments, improve continuity, and help teams hit access targets without adding risk.

Implementation checklist for NHS leaders and practice managers

• Integration: Confirm interoperability with your EHR and coding standards (e.g., SNOMED CT, ICD-10). Define where AI-generated notes land in the record and who signs off.
• Clinical safety and governance: Ensure a clinical safety case (e.g., DCB 0129/0160), clear accountability, and documented human-in-the-loop review.
• Information governance: Validate DPIA, role-based access, data minimisation, encryption, and retention policies aligned to NHS requirements.
• Workflow design: Map current vs. future state for documentation, triage, and follow-ups. Set rules for exceptions and escalation.
• Measurement: Track time saved per consultation, documentation accuracy, turnaround times, and impact on referral quality and patient comms.
• Equity and safety: Monitor for bias, edge cases, and performance across different patient groups. Set regular audits and feedback loops.
• Training and change management: Provide short, role-specific training and quick-reference guides. Nominate clinical champions to drive adoption.
• Procurement and ROI: Tie contract milestones to measurable outcomes (time saved, backlog reduction, clinician satisfaction).

What the leaders are saying

"It is untenable that healthcare demand continues to rise while clinical time continues to shrink," said Dr Thomas Kelly, Heidi's CEO and co-founder. "Building a sustainable healthcare system requires expanding clinical capacity without compromising clinician wellbeing or patient safety."

"What we're witnessing with Heidi in the UK's NHS isn't just fast growth, it's a clinician-led movement," said Ferdi Sigona, partner at Latitude. "When doctors themselves are championing a tool so passionately-from individual practices to major NHS Trusts serving millions of patients-we know we're backing a company with universal appeal across healthcare."

Executive moves

Alongside the raise, Heidi is expected to appoint Paul Williamson, formerly at Plaid, as chief revenue officer, and former Microsoft chief medical officer Dr Simon Kos to the same role. The hires signal a push to scale commercial operations across primary and secondary care.

What to watch next

Scope and speed of rollouts across Trusts, evidence from secondary care pilots, and outcomes data tied to time savings and patient access. For governance and deployment best practices, see the NHS AI Lab resources at NHS England.

If your organisation is building internal AI capability alongside vendor adoption, explore role-based upskilling options via Complete AI Training - Courses by Job.