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Verda Secures $189M Across Series B and Additional Financing
Verda announced $189 million across an oversubscribed Series B and additional financing. Because the instrument split was not disclosed, the entire amount should not be called Series B equity.
Verda announced $189 million (€163 million) of new financing on September 22, 2026. The package includes an oversubscribed Series B led by Emergence Capital and additional financing whose instrument and size were not separated.
Participants included MUFG Innovation Partners, Supermicro, Varma, Lifeline Ventures, ENDUR, 6 Degrees Capital, byFounders, Tesi and individual investors.
Deal terms
| Field | Detail |
|---|---|
| Company | Verda |
| Total package | $189M / €163M |
| Equity component | Oversubscribed Series B |
| Additional financing | Instrument and amount undisclosed |
| Series B lead | Emergence Capital |
| Valuation | Company says it became a unicorn; precise figure undisclosed |
Why the structure matters
Verda markets a full-stack AI cloud spanning physical data centers, GPU capacity, storage, platform services and research. The company plans to increase compute capacity and invest in inference as European customers seek alternatives to the largest US cloud providers.
The announcement describes the entire $189 million as “new funding,” but it does not say how much is Series B equity. That makes comparisons with all-equity rounds unreliable.
Operating context
Verda says it reached a $165 million annualized revenue run rate in July and employs around 250 people. Those are company-provided metrics. The announcement does not disclose gross margin, utilization, capital expenditure, debt terms or the precise valuation.
Bottom line
The accurate description is $189 million across a Series B and additional financing. It is a major European AI-infrastructure package, but the full amount should not be presented as Series B equity.
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Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.