News
Research Report
Mind The Agentic Action Gap: Stop Losing Money With AI Agents
Key Takeaways
- Verda's revenue run rate doubled to $60M+ in Q1 2026, making it cash flow positive ahead of its US and UK expansion.
- The $117M round blends equity from Lifeline Ventures with debt from Nordic financial institutions.
- Verda rebranded from DataCrunch just five months ago, pivoting toward data sovereignty and GDPR-compliant infrastructure.
- The company is pursuing a GigaFactory consortium with Latvian universities targeting 100,000+ AI accelerators.
Verda, the Helsinki-based AI cloud infrastructure company formerly known as DataCrunch, raised $117 million in new funding on April 24, 2026. The round combined equity led by Lifeline Ventures with participation from byFounders, Tesi and Varma, alongside debt financing from Nordic financial institutions.
According to company officials, the capital will accelerate development of Verda's AI cloud platform and fund international expansion. The company plans to hire more than 100 people and launch in new markets — including the UK and the US — in 2026 to meet growing demand.
Verda reported it is already cash flow positive, with its revenue run rate doubling to over $60 million during Q1 2026. The company holds Nvidia Preferred Partner status and counts Nokia, 1X, ExpressVPN and Freepik among its customers.
"A big part of our success comes from being vertically integrated, handling everything from physical infrastructure to the application layer. We have a dedicated AI Lab team that works directly with customers and uses those insights to drive our product decisions. We're proud of what we've built so far, but we know we're only just getting started."
- Ruben Bryon
Founder & CEO, Verda
Table of Contents
- Inside Verda's Platform: What the $117M Will Build
- Why Enterprises Are Rethinking Their GPU Cloud Strategy
- From GPU Startup to Sovereign Hyperscaler
Inside Verda's Platform: What the $117M Will Build
Here's a breakdown of the core capabilities and strategic initiatives Verda is deploying as it scales from a Nordic GPU provider into a global sovereign AI cloud.
| What Verda Offers | How It Works |
|---|---|
| Vertically integrated AI cloud | Manages physical servers through developer tools, according to Verda |
| 100% renewable energy | Finnish data centers powered by Nordic hydro and wind |
| Nvidia Preferred Partner | Privileged access to latest Nvidia GPU hardware |
| Global expansion (2026) | Planned launches in the UK, US and Asia |
| Hiring plan | Over 100 new hires planned for 2026 |
Why Enterprises Are Rethinking Their GPU Cloud Strategy
Specialized GPU cloud infrastructure has become the operational backbone for enterprises running machine learning experimentation, model training and production inference at scale.
GPU-accelerated cloud infrastructure now underpins production-grade AI systems that demand low latency and operational efficiency. These platform providers deliver:
- Bare-metal GPU and CPU compute nodes for maximum performance
- Managed Kubernetes services for container orchestration
- AI-optimized storage and networking for high-throughput data access
- On-demand Nvidia GPU access with flexible scaling options
Infrastructure for these platforms is typically optimized for flexibility and cost efficiency compared to general-purpose cloud providers, targeting ML training, AI inference and scientific computing workloads.
Tiered Models, Integrated Stacks
Many organizations take a tiered approach to managing inference costs, routing routine tasks to smaller local models and reserving foundation models for complex reasoning.
Hyperscalers, including Microsoft Azure and Amazon Web Services, also deliver GPU access alongside model training, inference tooling and enterprise-grade security.
Vertically integrated infrastructure is also gaining traction among organizations with data sovereignty requirements. Mistral AI's €1.2 billion Swedish data center investment illustrates the model, pairing on-site GPU compute with managed platform-as-a-service APIs and localized storage.
From GPU Startup to Sovereign Hyperscaler
Verda has evolved from a GPU compute provider into a self-described sovereign AI cloud hyperscaler over the past eight months.
In September 2025, the company closed a $64 million Series A that financed deployment of Nvidia Blackwell GB300 and B300 systems, a new data center in Akaa, Finland and the rollout of managed Kubernetes, geo-distributed object storage and managed inference endpoints.
Webinar
Apr
27
Where Contact Center AI Is Actually Headed
A straight read on where the contact center platform market is going and what it means for your next technology decision.
Register
Webinar
May
12
How Marketing Teams Can Take Control of the Web Experience
See how Veo and Kvalifik put marketing in the driver's seat, shipping faster and growing qualified bookings by 150%.
Register
Webinar
May
14
Two Audiences, One WordPress. Is Yours Ready?
The practical steps to making your WordPress portfolio ready for both human visitors and AI agents.
Register
Webinar
May
19
From Content Sprawl to Competitive Advantage: A Knowledge Operations Roadmap
How automation, AI and a centralized content platform turn knowledge fragmentation into a scalable competitive advantage.
Register
Webinar
May
20
From AI Investment to CX Results: What Enterprise Leaders Need to Know
Move beyond experiments. See how top enterprises scale AI for CX results.
Register
Webinar
On demand
AI for Your DXP: Connect What You Have, Transform How You Work
Most AI strategies stop at the platform—but work happens elsewhere. Bring intelligence into Teams, email, tickets and CRM.
Watch Now
The strategic pivot deepened when DataCrunch rebranded to Verda in November 2025, repositioning around data protection, AI sovereignty and fully renewable-powered infrastructure.
In December, Verda and Siili Solutions launched LLM Gateway, a sovereign LLM-as-a-Service offering GDPR-compliant, Finland-hosted inference for finance, healthcare and public-sector buyers. Verda also led a consortium with Latvian universities and investors proposing an AI GigaFactory designed to host more than 100,000 AI accelerators.
Verda targets AI-first engineering teams, ML startups and regulated enterprises, offering high-performance GPU infrastructure for experimentation, training and inference. Founded in 2020, the company operates Nordic data centers under a European legal entity, aiming to be an alternative optiohn for organizations with strict data residency, privacy and compliance requirements.