The Series A round was led by Notion Capital with participation from multiple venture firms and angel investors.
"Every Trust we meet tells us the same story: they need qualified staff now, but they cannot risk patient safety or compliance. Our platform gives them speed without compromise, predictability without cost inflation, and sustainability where locum dependency has become unsustainable. TERN Group’s mission is for every placement to set off a chain reaction: anurse arriving on time means a ward runs smoothly, which means patients get treated faster. This raise enables us to make those chain reactions happen at scale, across the UK and beyond."
The seed round was co-led by Ten Eleven Ventures and General Catalyst.
"There’s no established playbook for how to deploy agentic AI now. Many times, the limited visibility and lack of understanding of potential risks are key blockers for many CISOs and technology leaders. Geordie supports these leaders so that organizations can bring strategic innovation in-house confidently and regain control of their rapidly changing technology environment. The security Geordie brings will be a critical part of safely embracing the agentic AI revolution destined for the decade ahead."
Project A led the seed round for the London-based startup to fuel product development and international expansion.
"We call it giving your website a brain. Because that’s literally what we’re doing. And once you see a website that can think, you can’t go back to one that can’t."
The pre-seed round was backed by RAW Ventures and Cedars-Sinai Ventures to fund clinical deployment and regulatory approvals.
"We’re focused on leveraging the unique capabilities of ultrasound and developing solutions to make it smarter, faster, and more reliable, with clinicians at the centre of that transformation. This trial will assess the effectiveness of FraiyaScan in real world conditions. Importantly, the frontline staff and patient feedback will help us to understand the acceptability of the technology, where time-pressured scans, staffing gaps, and service variability, that can affect outcomes, may also impact the performance and adoption of AI-based innovations."
— Jackie Matthew, chief medical officer and clinical academic sonographer
