Finnish AI cloud company Verda raised $189 million in financing announced on 22 September, bringing its total equity and debt funding to over $450 million, according to its announcement published by Arctic Today. The company said its valuation after the round was at least $1 billion, Bloomberg reported.
Key points
- Emergence Capital led the oversubscribed Series B, which was accompanied by additional investment.
- Verda reported a $165 million annualised revenue run rate in July 2026.
- The company plans to operate more than 250 MW in 2027.
Emergence Capital leads Verda’s Series B
Emergence Capital led the financing, which comprised an oversubscribed Series B and additional investment, ArcticStartup reported. Participants included MUFG Innovation Partners, Supermicro, Varma Mutual Pension Insurance Company, Lifeline Ventures, 6 Degrees Capital, byFounders and Tesi.
Verda declined to give Bloomberg a precise valuation, putting its value at no less than $1 billion after the financing. The company’s reported total funding of over $450 million includes both equity and debt. The $189 million figure covers the Series B and additional investment rather than the Series B alone.
Founded in Helsinki in 2020, Verda was previously called DataCrunch, SiliconANGLE reported. It sells AI computing capacity and platform services, while building and operating the physical infrastructure beneath them. That places the financing behind data centres and hardware as well as the software used to access them.
Verda reported reaching a $165 million annualised revenue run rate in July 2026, according to ArcticStartup. An annualised run rate expresses revenue at a particular point as a yearly pace. Verda plans to put the new funding into additional compute capacity, inference services and product development across its cloud platform.
Verda’s production customers span three workloads
Verda says customers in more than 50 countries use its infrastructure. It names Aleph Alpha, Magnific and Epsilon Health among teams running production AI workloads, offering examples beyond trials of how customers use its capacity.
The applications differ. Aleph Alpha uses Verda infrastructure for research and development, while Magnific uses it for media-generation inference at millions of requests per day, SiliconANGLE reported. Epsilon Health trains radiology AI models on a dedicated cluster, using images at their native resolution.
Verda says its own AI Lab also runs research workloads on the platform. Its work includes GPU utilisation, inference optimisation and kernel engineering. The company is developing inference capacity and faster provisioning, alongside platform services intended for customers that need to deploy and manage AI workloads.
The planned additions include S3-compatible object storage and Managed Kubernetes, according to the company’s announcement. Verda also lists access controls, audit logging and work towards SOC Type II and C5 security certifications among its enterprise priorities.
Verda plans more than 250 MW in 2027
Verda says it designs and builds data centres, installs the computing equipment inside them and operates the cloud platform above it. The company has live data-centre capacity in Finland and plans to bring more online in Europe, the UK, the US and Asia.
The company says it is preparing early deployments of Nvidia VR200 NVL72 systems. Its planned spending on compute sits alongside work on the software used to supply that capacity, including provisioning and managed inference.
Verda says it employs more than 250 people across Helsinki, London, Taipei and San Francisco. Its expansion plans cover both physical capacity and the services customers use to run workloads on it.
Verda plans to operate more than 250 MW in 2027.
