NEWS
European AI start-ups raised a record
US $ 23 billion in venture capital during the first half of 2026, up 130 % year on year and accounting for 55 % of all VC investment across the region, according to HumanX and Crunchbase.
European AI start-ups capture 55 % of VC funding as investment hits US $ 23 billion
The total rose from US $ 10 billion in H1 2025, highlighting Europe’ s growing position in global artificial intelligence development. However, funding remained heavily concentrated, with 73 % of capital going to 38 companies that secured rounds worth US $ 100 million or more.
Six European start-ups joined the billiondollar-plus funding club during the period, including autonomous driving developer Wayve, drug discovery specialist Isomorphic Labs, robotics company Neura Robotics and Advanced Machine Intelligence, a physical AI laboratory cofounded by Yann LeCun.
The UK remained Europe’ s largest AI investment hub, attracting US $ 12 billion, equivalent to 53 % of regional funding. Germany secured US $ 3.5 billion while France attracted US $ 2.9 billion. The
Netherlands also gained momentum, supported by major rounds including CuspAI’ s US $ 450 million Series B and General Intuition’ s US $ 320 million Series A.
Funding disparities persisted. Since 2023, AI start-ups with at least one female founder represented 18 % of completed deals but received only 10 % of capital.
Crunchbase forecasts continued activity across the sector. Among more than
1,000 European AI start-ups funded since 2022 that have raised at least US $ 10 million, 59 % are predicted to secure additional funding within 12 months, while 18 % could become acquisition targets and 5 % are positioned for public market debuts.
The findings suggest investors are backing sectors where Europe has established industrial, scientific and engineering strengths.
ByteLens launches AI-native telecom platform to advance autonomous network operations
ByteLens has launched an AI-native operational intelligence platform designed to help telecom operators prevent network faults, accelerate root-cause analysis and automate approved repairs.
Launched in Amsterdam, the platform uses operators’ existing telemetry data to identify patterns that can precede outages, while retaining knowledge from previous incidents. ByteLens records the reasoning behind a diagnosis, the fix applied and any corrections made by engineers, allowing future incidents to build on earlier resolutions.
The company said the technology addresses a persistent challenge for telecom operators: large volumes of fragmented
network data that do not automatically translate into reusable operational knowledge. Expertise can be lost when incidents are resolved manually or experienced engineers leave teams.
ByteLens works with open telemetry standards and runs alongside existing monitoring systems without requiring new agents, network re-architecture or a second copy of operator data. It spans multiple vendors and network domains, providing conversational answers tailored to different operational roles rather than relying on conventional dashboards.
The platform is currently running with live network data at four tierone operators.
Anil Jain, co-founder and CEO, ByteLens, said autonomous operations emerge when networks can handle previously learned scenarios while engineers focus on issues requiring human judgement. Co-founder and Chief Product Officer, ByteLens, Yogesh Malik added that the approach enables operational expertise to become knowledge owned by the operator rather than remaining with individual employees.
The platform is expected to become more effective as each resolved fault enriches the operator’ s knowledge base, creating a compounding operational intelligence layer over time. www. intelligentcio. com
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