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The latest funding rounds from the UK tech ecosystem. Updated 19 October 2026.
Announcements
1,486
Total raised
£42.6B
disclosed amounts
This month
£57.2M
raised so far
The funding round was led by IQ Capital with participation from new industrial investors including 212 NexT and Driventure.
"This funding accelerates our transition into a new era where AI agents leave the screen and enter the factory floor."
The Series D round was co-led by Georgian, Hedosophia, and Khosla Ventures to support international expansion and product development.
The funding round was backed by EWOR and other investors to support extended reality developments.
"Earlier versions struggled with fast, complex motion, either requiring an excessive number of Gaussians or producing visible artifacts. Our latest release finally solves this: even footage captured at 50fps can now be played back in ultra-smooth slow motion with minimal artifacts, while preserving fine details. This makes 4DGS viable for high-demand use cases like sports and film."
The seed round was led by Eka Ventures to support technology development and platform expansion.
"If you’ve ever bought a house in the UK, you’ll know exactly how painful the conveyancing process can be. Something that should take a matter of days can drag on for months, leaving you unsure when – or even if – you’ll get the keys to your new home. These delays are completely avoidable. We built Conveyd to remove unnecessary back-and-forth, so home buyers get complete purchases in weeks rather than months – in a way that doesn’t make them want to tear their own hair out."
The seed round was led by Lakestar to accelerate development and international deployment.
"Everything around us is manufactured, from the mug on your desk to the optical cables carrying our Netflix binges. Everyone talks about the glamorous side of manufacturing: generative design, material discovery, digital twins, but few spend time on the factory floor. The hard part isn’t dreaming things up inside a computer; it’s making them work at scale. Manufacturing still runs on human know-how, the kind that lets someone on the line kick a machine just right, or run a finger over a scratch, and say, ‘that’s thirty-four microns wide.’ We’re using AI to capture and scale that tacit knowledge, so engineers can design things that actually work in the real world. It’s time to manufacture the impossible."
