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The latest funding rounds from the UK tech ecosystem. Updated 1 August 2026.
Announcements
1,961
Total raised
£9.3B
disclosed amounts
Framework Ventures led the seed round, with participation from L4 Venture Builder, Valor Capital Group and Alexia Ventures.
"Raising these funds in such a complex and challenging market deepens our confidence in Parfin’s market strategy, technology, and products"
The seed round was led by Par Equity with support from Techstart Ventures, Nile HQ, and notable entrepreneurs.
"HR tech is a fast-growing segment, and what Rich, Craig and the team have built in terms of the technology to support sourcing, onboarding, and helping to retain staff, in such a short amount of time is a remarkable achievement."
The investment brings the company's total seed funding to £6m and will support international growth.
"We’ve put ourselves in a very strong position to deliver on our ambitious 2023 objectives. I am grateful for the support of our new and existing investors and we’ll now continue to show them that they have made a brilliant choice."
Snowflake Ventures backed the Leeds-based decision intelligence company following its success in the 2022 Snowflake Startup Challenge.
"As we reviewed hundreds of entries from companies building products and applications on Snowflake, HyperFinity stood out in how the platform aligns with our Retail Data Cloud partner strategy. Over the coming months we’ll work closely with HyperFinity as they build out their decision intelligence platform and continue with their already impressive client traction."
The funding round was led by Eka Ventures and will support international studies and product development.
"Existing data suggests that current approaches fall short at accurately detecting and localizing the deadliest cancers that desperately need to benefit from a blood test. At OXcan, we are using state-of-art and unbiased high-throughput proteomics approaches to examine hundreds and thousands of proteins in blood samples from largest studies of their kind for the first time. Combined with proprietary and tailored machine learning approaches, the results are products that fully integrate with existing care pathways and can detect and localize the deadliest cancers with unprecedented sensitivity and specificity."
