Emerald AI raises $150M series a
Announced 25 August 2026
◆ The Round
Emerald AI raised $150M in series a funding, announced on 25 August 2026, led by Energize Capital, DCVC, with participation from NVIDIA, Samsung Ventures, Siemens, Aramco Ventures, Salesforce Ventures, GE Vernova, RWE. The round is tracked live by Fusion42 as part of the Raise fund database and the Scout startup database.
◆ About Emerald AI
Emerald AI builds software that helps AI data centers flexibly adjust electricity usage in real time, turning them into grid-supporting assets. It serves AI infrastructure operators and utilities that need faster interconnection, grid reliability, and lower power-cost risk while maintaining compute performance. Emerald AI is based in United States and currently at series a stage, operating in deeptech.
◆ Investors
LeadEnergize Capital, DCVC
ParticipationNVIDIA, Samsung Ventures, Siemens, Aramco Ventures, Salesforce Ventures, GE Vernova, RWE
◆ Investing funds on Raise
◆ Market context
DCVC, Samsung Ventures and Salesforce Ventures are profiled on Raise, Fusion42's database of venture funds — where each investor's thesis, cheque size and other tracked backings can be followed. This funding event is a citable node in Fusion42's market graph: it links Emerald AI's Scout profile to the funds behind the round and to related Wire analysis, and is refreshed from public announcements as the round is confirmed or extended. It is the same live market data Arthur reasons over when benchmarking a founder's own raise against what is closing in the market right now.
◆ Explore the market
◆ FAQ
How much did Emerald AI raise?
Emerald AI raised $150M in its series-a round, announced 2026-08-25.
Who invested in Emerald AI's series-a round?
The round was led by Energize Capital and DCVC, with participation from NVIDIA, Samsung Ventures, Siemens, Aramco Ventures, Salesforce Ventures, GE Vernova and RWE.
What does Emerald AI do?
Emerald AI builds software that helps AI data centers flexibly adjust electricity usage in real time, turning them into grid-supporting assets. It serves AI infrastructure operators and utilities that need faster interconnection, grid reliability, and lower power-cost risk while maintaining compute performance.
Verified 26 August 2026 · Sources: public filings