The capital will support international growth and two technical projects involving multiomic age assessment and an artificial intelligence health copilot.
"For most of my life, I’ve been obsessed with understanding what makes people perform at their best. Elite athletes have long understood the value of testing, tracking and continually adapting. But that approach shouldn’t be reserved for people competing at the highest level."
Winfred reads them overnight, pulls out the facts, checks them against Companies House and files them. It was built by C8VA, who do the same kind of work for other businesses: turning messy, unstructured material into something you can search, count and rely on.
The round included participation from new backer Notion Capital and existing investors such as Atomico and Creandum.
"On each day that safe and effective medical technology is not available, a person’s life takes a different turn. That is why Scarlet was created, said Dewar in the announcement. The company is developing AI-native certification to help its customers bring cutting-edge innovations to patients worldwide."
The Liverpool university spinout raised the capital to drive commercialisation and platform development in materials discovery.
"Materials innovation underpins progress across multiple sectors from energy to manufacturing and electronics. Matter Machine brings together exceptional scientific expertise, unique technology capabilities and a highly scalable commercial opportunity"
— Gordon Sanghera, Head of Commercialisation Strategy
The round was led by Fuel Ventures with participation from Manchester Angels and industry angels.
"We’ve seen it so many times that each deal is treated as if it is siloed from the rest of the GTM – this doesn’t and shouldn’t have to be the case. The answer to any deal is there, just no one knows how to find it – Doris does."
The funding round was led by Mercia Ventures with participation from Ada Ventures and strategic fintech investors.
"Financial advice firms are sitting on an extraordinary amount of valuable client information, but much of it is fragmented across conversations, documents and different systems. The first opportunity for AI was obvious: remove the manual work of capturing it. The bigger opportunity is making the client data firms already hold work better,"