Find the fastest growing deeptech companies in the UK.
Find the fastest growing deeptech companies in the UK.


1 Explore 282 UK deeptech startups and their founders, who have collectively raised £5.72B.
2 Easily sort, filter, and compare the UK's top startups — customise the list to your needs.
3 Discover top startups for investment, B2B sales, partnerships, hiring, and industry connections.
You can connect with fast-growing deeptech startups with the full list of recently funded startups from the UK.
Deeptech startups are built on scientific and engineering breakthroughs rather than lightweight software alone. Across the UK, founders are turning advances in AI, robotics, quantum, semiconductors, materials and climate science into commercially scalable companies.
The UK has one of Europe's strongest deeptech ecosystems, supported by world-class universities, specialist research labs and a maturing investor base. London, Cambridge, Oxford, Bristol, Manchester and Edinburgh continue to produce high-growth deeptech companies across pre-seed to growth stages.
Deeptech in this context includes startups where defensible IP, advanced R&D and technical complexity drive long-term value creation. These companies often take longer to scale than traditional software startups, but can create category-defining outcomes with stronger barriers to entry.
Use this page to explore the fastest growing deeptech startups in the UK, then review company profiles for websites, investors, locations and recent funding rounds.
That is our view of the most active deeptech startups in the UK. If you are building in this category, finding investors who understand technical risk, longer R&D cycles and IP-led business models is critical.
Deeptech refers to technology companies built on significant scientific or engineering innovation. Unlike many software-first businesses, deeptech startups usually rely on proprietary research, complex product development and technical teams with domain expertise.
Key deeptech categories in the UK include:
Foundational technologies for model training, inference optimisation, AI hardware and enterprise deployment.
Intelligent machines and autonomous systems for logistics, manufacturing, defence, agriculture and healthcare.
Quantum hardware, software and enabling components for next-generation computing performance.
Breakthrough technologies in energy, carbon management, manufacturing efficiency and resource optimisation.
Novel materials, semiconductors and engineering platforms that unlock better performance across industries.
The UK's research depth and venture ecosystem make it a strong launchpad for deeptech founders building globally competitive companies.
Deeptech startups build companies around scientific, engineering or technical breakthroughs rather than simple software applications. UK deeptech startups often work across AI, robotics, quantum, biotech, semiconductors, advanced materials, space, climate technology and hardware.
The UK is strong in deeptech because of its universities, research institutions, technical talent, spinout activity and specialist investor base. Cambridge, Oxford, London, Bristol, Edinburgh, Manchester and Sheffield are important hubs for science-led and engineering-led startup creation.
Deeptech startups raise funding from angel investors, specialist venture capital firms, university spinout funds, grant programmes and strategic industry partners. They often need more patient capital than software startups because product development, validation and commercialisation can take longer.
Investors in deeptech startups look for defensible intellectual property, strong technical founders, evidence that the technology works and a large commercial market. They also assess whether the company can move from research to repeatable customers without becoming trapped in the lab.
Deeptech startups often take longer to commercialise because they must prove complex technology, build prototypes, protect intellectual property, navigate regulation or integrate with industrial customers. The upside can be significant, but execution risk is usually higher than in standard software startups.