Funding · AI & Deep Tech

Emerald AI raises $150M in Series A at $1.05B valuation

By Startup Enthusiast · 26 August 2026

What they do

Emerald AI builds software that adjusts data centre power use based on grid conditions

The company raised $150 million at a $1.05 billion valuation led by Energize Capital and DCVC

Investors include Nvidia, Samsung Ventures, Siemens, Aramco Ventures, Salesforce Ventures, GE Vernova, RWE, and JERA Ventures

Emerald AI completed a $150 million Series A funding round.
The investment values the company at $1.05 billion.
Energize Capital and DCVC co-led the financing round.
Participants included major tech firms like Nvidia and Samsung Ventures.
Other investors were Siemens, Aramco Ventures, and Salesforce Ventures.
The company plans to expand commercial deployments with utilities and data centres worldwide.
CEO Varun Sivaram founded the firm to solve power bottlenecks using AI intelligence.
The startup is recognized on Time magazine's 2026 list of most influential companies.

Data centres account for approximately half of US electricity demand growth through 2030.
Existing US grids could accommodate nearly 100GW additional loads via temporary consumption reduction.
FERC recently ordered grid operators to reform rules for connecting large data centre loads.

The company offers Emerald Conductor software for managing data centre energy.
It coordinates computing workloads with on-site energy resources to optimize usage.
The system reduces or shifts suitable workloads during network pressure events.
Critical tasks are protected while non-essential loads are adjusted for efficiency.
The technology operates at a multi-megawatt scale in full-data-centre settings.
Trials have been conducted in Arizona, Illinois, Virginia, Oregon, and London.
Partners include Oracle, Nebius, National Grid, and regional electric utilities.
The business model focuses on providing dispatchable flexibility to the power grid.

Expand commercial deployments with AI companies and data-centre operators globally.
Partner with electricity utilities to implement energy management solutions.
Continue testing at the Vera Rubin AI Research Factory later in 2026.

Product: Emerald Conductor software that coordinates computing workloads and on-site energy resources to adjust electricity consumption based on grid conditions
Customers: AI companies, data-centre operators and electricity utilities worldwide managing high-power computing infrastructure
How it makes money: Software licensing fees from data centers and utilities for power management optimization
What sets it apart: Uses AI to reduce or shift workloads during grid stress while protecting critical computing tasks