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We use machine learning to accurately forecast electricity prices. Our customers, including a global renewable asset manager, use our software to improve revenue by millions of dollars per year.

We use machine learning to accurately forecast electricity prices. Our customers, including a global renewable asset manager, use our software to improve revenue by millions of dollars per year.
What they do: ML-driven electricity price forecasts to optimize revenue for storage, EV charging, and renewable assets
Founded / HQ: 2020, Boston, Massachusetts
Stage / funding: Seed; ~$1.6M total funding (seed)
Team size: ~18 employees
Notable investors: Y Combinator and several VC/angel investors
Energy markets — price forecasting and revenue optimization for distributed and grid-connected energy assets.
2020
Energy / Machine learning / SaaS
1600000.00 USD
Seed round; investors reported to include Y Combinator, Lorimer Ventures, Knockout Capital, Cold Start Ventures and angels
“Y Combinator and multiple VC/angel investors”
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