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The latest funding rounds from the UK tech ecosystem. Updated 4 August 2026.

Announcements

1,961

Total raised

£9.3B

disclosed amounts

Seed
$3.2M

The round drew participation from investors including Circular Innovation Fund, Katapult, and Joyance Partners to accelerate commercialisation.

"The global movement towards plant-based alternatives has experienced exceptional growth in recent years with a reshaping of entire industries such as meat and dairy. The same opportunity exists within colourants, driven by a common interest of consumers, brands and regulators to transition to fully sustainable, biodegradable, circular products. Most brands are committed to eliminating synthetic chemicals from manufacturing processes altogether. Our plant-based materials can be grown and sourced locally in a complete rethink of how colours are currently being manufactured while reducing transport emissions. The industrial applications for Sparxell’s products are broad, from cosmetics and textiles to paints and packaging"
— Benjamin Droguet, Founder and CEO
Seed
£4.8M

The seed round was led by Lightspeed Faction and Tagus Capital to support the continuous development of the company machine learning infrastructure.

"With FLock, now anyone can contribute to AI development by offering compute, data, or training scripts; the barrier to participation is much lower. This results in community-owned models built by the many, not just the few, with data contributors being fairly rewarded."
— Jiahao Sun, CEO
Seed
£7.9M

The seed round was led by Castle Island Ventures to support the rollout of a hybrid Layer-2 network powered by Bitcoin and Ethereum.

"We’re thrilled to have the support of such esteemed investors who share our vision for the future of Web3 innovation by combining the best of Bitcoin and Ethereum."
— Alexei Zamyatin, Co-Founder
Seed
£10.0M

The seed round was co-led by UCL Technology Fund, Clean Growth Fund, XTX Ventures, and Dorilton

"AI computational needs are increasing by 10 times every 18 months. This leads to distributed training and inference across large numbers of xPUs. Collective data movement across the servers in the data centre becomes a bottleneck which in turn limits the training and inference completion time. This requires a fundamental shift in the co-design of next generation networked systems."
— George Zervas, Professor