In 2025, the Finnish technology ecosystem demonstrated remarkable vitality, with approximately €2.9 billion raised. Funding is concentrated in equity and Series B-E rounds, indicating continued support for more mature companies expanding internationally.

Early-stage investments and key sectors

Activity in the early stages remains constant, with numerous seed, pre-seed and Series A rounds signaling a continuous flow of new initiatives. Debt financing represents a relevant share, particularly in capital-intensive or scalable business models.

The deeptech, AI/software, cleantech and healthcare sectors attract the majority of deals, reflecting a focus on scientific and industrial innovation. Investments are also directed towards space, quantum and energy technologies, indicating an interest in strategic and infrastructure areas.

The 10 most funded companies

Among the companies that raised the most funding in 2025, the following stand out:

  1. Nokia: $1 billion (equity investment from Nvidia for the integration of AI into telecommunications networks).
  2. Oura Health: $900 million (development of AI capabilities, product improvements and global expansion).
  3. IQM Quantum Computers: $320 million (superconducting quantum computing systems).
  4. ICEYE: €209.3 million (synthetic aperture radar technology for Earth observation).
  5. GoByBike: €125 million (bicycle leasing and employee benefit services).
  6. NestAI: €100 million (physical AI systems for real-world operations).
  7. DataCrunch (Verda): €55 million (GPU-based cloud infrastructure for AI workloads).
  8. ReOrbit: €45 million (interconnected satellites and space systems for secure data transmission).
  9. Hycamite: €44 million (technology to split methane into low-carbon hydrogen and solid carbon).
  10. IXI Eyewear: $36.5 million (adaptive eyewear with autofocus lenses).

DataCrunch (now Verda) aims to strengthen European sovereignty in the field of AI with green cloud infrastructure. For those evaluating on-premise deployments, there are trade-offs that AI-RADAR analyzes in detail in the /llm-onpremise section.