What do they actually do
Rewbi pays battery project owners a fixed monthly fee to rent their grid-connected storage and then operates those assets in wholesale power markets. They take over as the market participant, handle registration and settlements, and keep the upside from market operations beyond the fixed payment to the owner source.
They are active in Texas (ERCOT), where they’re registered as a power market participant and say they are already generating profit from balancing the grid there [source](https://www.ycombinator.com/companies/rewbi; https://www.rewbi.com/post/rewbi-closes-4m-seed-round).
Operationally, Rewbi runs an AI dispatch engine that ingests live prices and grid signals and issues charge/discharge decisions in real time. The company claims its system can react faster and track more inputs than human traders, delivering around 2x revenue versus typical human-run dispatch (company claim) source.
Who are their target customer(s)
- Battery project owners/developers with operating grid-connected storage: Market registration, bidding, and settlements are complex and time-consuming, and merchant revenue is volatile. They want predictable cash flow and to avoid hourly market management source.
- Smaller solar+storage developers without an in-house trading desk: They lack staff and market know-how to participate in wholesale markets, so batteries are under-utilized or produce inconsistent returns source.
- Battery owners/operators currently using manual or in-house traders: Human-run dispatch can miss opportunities and react slowly to live signals; Rewbi argues AI can significantly outperform typical human dispatch source.
- Institutional investors/funds that own storage assets: Operational complexity and merchant exposure increase volatility and management overhead; they prefer steady payouts from a counterparty that handles market participation source.
- Project sponsors seeking project financing for storage: Lenders prefer predictable revenue streams and bankable offtake structures; volatile merchant profiles make debt harder or pricier. Rewbi signals it will bundle offtake with financing support source.
How would they acquire their first 10, 50, and 100 customers
- First 10: Target ERCOT battery owners through warm investor/YC intros and offer short pilot rentals with guaranteed monthly payments to prove operations and settlement capability, replacing manual trading during a defined period source.
- First 50: Build referrals with EPCs/O&M firms and run standardized, low-friction contracts and onboarding for ERCOT and neighboring ISOs, using public case studies and webinars to convert inbound interest.
- First 100: Productize self-serve quoting and standardized terms across ISOs, sign portfolio-level agreements with funds/asset managers, and integrate with lenders so sponsors can use Rewbi’s offtake to de-risk revenue in financing.
What is the rough total addressable market
Top-down context:
ERCOT batteries earned about $55/kW-yr on average in 2024; with ~12,052 MW installed by Q3 2025, that implies an annual revenue pool on the order of ~$0.66B in ERCOT alone Modo Energy revenue report Modo buildout. Across the U.S., rapid capacity additions (10.3–10.4 GW added in 2024; >18 GW expected in 2025) point to a near-term national pool in the low single-digit billions per year, depending on realized $/MW-yr EIA.
Bottom-up calculation:
TAM ≈ installed power capacity (MW) × average annual revenue per MW. Example: U.S. 30 GW × $100,000/MW-yr ≈ $3.0B/yr using mid-range modeling for storage revenues E3, with observed ranges bracketed by ERCOT 2024 ~$55k/MW-yr and top-performer years >$180k/MW-yr Modo McKinsey.
Assumptions:
- Use observed $/MW-yr ranges from recent ERCOT/CAISO reporting as proxies for near-term U.S. averages Modo CAISO 2024 report.
- Capacity is measured as MW (power), not MWh (energy); global illustrations convert TWh to MW assuming ~2-hour duration where needed BNEF.
- Revenue pools are volatile year-to-year with market saturation and price spreads; figures represent total market pools, not Rewbi’s share Modo.
Who are some of their notable competitors
- Gridmatic: Storage optimizer/offtaker operating in U.S. wholesale markets (incl. ERCOT); offers trading and optimization for merchant storage portfolios.
- Fluence (Autobid/Trading): Large-scale provider of storage software and automated market bidding tools used by asset owners to optimize storage revenues.
- Tesla Autobidder: Automated trading platform for Megapack and other assets that bids into markets on behalf of owners to maximize returns.
- Habitat Energy: Battery optimization and trading firm active in multiple markets; known for algorithmic dispatch and risk-managed revenue strategies (including entry into Texas).
- Ascend Analytics (SmartBidder): Bid optimization and analytics software for storage and renewables; enables asset owners to run their own market participation instead of outsourcing operations.