Companies

Rewbi

rewbi.com

Rewbi optimizes grid batteries and operates financed private GPU clouds for companies needing dedicated AI compute.

HQSan Francisco, California, United States
Employees1-50
Jobs checked 5d ago
Specialization
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Market
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Ecosystem
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Customers
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About

Rewbi’s public materials describe AI optimization for grid-connected battery storage, serving power companies, battery-storage developers, and project owners; its current website also presents private GPU clouds for growing companies. Its differentiation is software that tracks hundreds of live grid inputs and dispatches batteries faster than human operators, combined with financed, managed infrastructure that avoids customers’ upfront hardware and operational burden.

Market

Rewbi appears to straddle two markets: its current official homepage positions it in dedicated/private GPU cloud infrastructure, while YC and 2025 funding materials position it as an energy-storage optimization and power-market operator. In AI infrastructure, it differentiates by financing, building, and operating dedicated GPU capacity without shared queues, quotas, or upfront hardware costs; in batteries, it combines AI dispatch with rental/offtake and claims more than double the monthly rental fee in revenue. The public materials do not establish whether the battery business was discontinued or whether it is now a second product line, so the competitive set spans both markets.

Target Customers

Rewbi’s current website targets growing companies with AI workloads that need dedicated, high-performance GPU capacity without shared queues, cloud quotas, or upfront hardware costs; it also supports organizations requiring on-premises deployments. Its earlier energy business targeted battery-storage developers, project owners, and power companies seeking optimized grid dispatch, revenue generation, and project-level capital.

At a Glance

Problem

Rewbi’s current website positions the company around a core AI-infrastructure problem: growing companies need reliable access to high-performance GPUs, but shared public clouds can impose queues, allocation quotas, and preemption, while buying and operating dedicated hardware requires substantial upfront capital and technical overhead. The main use case is an AI company whose models, data, and production workloads require predictable capacity, privacy, and sustained performance rather than intermittent or best-effort access.

The economics are therefore a trade-off between expensive cloud access and the operational burden of owning infrastructure. Rewbi aims to give customers dedicated compute capacity while removing the hardware purchase, deployment, power, and operations burden. Its public materials also preserve an earlier energy-market thesis: batteries can respond faster than human operators to electricity-price changes, creating a separate use case in which better optimization materially increases storage revenue.

Product / Service

Rewbi says it finances, builds, and operates private GPU clouds for growing companies. Customers receive contracted GPU capacity reserved for their workloads, with infrastructure dedicated to their organization rather than shared or preempted. Rewbi monitors deployments around the clock and backs availability with a stated 99.9% service commitment; for workloads that must remain inside a customer’s facilities, it offers on-premises deployments.

The delivery model is infrastructure-as-a-service with Rewbi financing the hardware and managing deployment, power, and ongoing operations. The benefit is access to the practical advantages of owning dedicated AI compute—reliability, isolation, and control—without the upfront investment or operational burden. The company’s earlier product description was an AI battery-dispatch service, so the public record suggests Rewbi has either expanded or pivoted toward dedicated AI infrastructure, although the gathered evidence does not establish the timing or mechanics of that change.

Market

Rewbi now appears to compete in private or dedicated GPU cloud and enterprise AI-infrastructure services. Relevant alternatives include bare-metal and GPU-cloud providers such as Lambda and CoreWeave, marketplace-style GPU rental through Vast.ai, and on-demand GPU infrastructure from providers such as Vultr. These companies offer access to GPU capacity, while Rewbi’s stated differentiation is a more managed, organization-dedicated deployment model that can include on-premises infrastructure.

Rewbi is an early-stage company founded in 2024 and listed by Y Combinator as an active Summer 2024 company. It publicly announced a $4 million seed round in May 2025, and the contemporaneous company announcement said it was already an active Texas power company making a profit from battery-grid balancing. However, the evidence gathered does not disclose customer counts, revenue, deployments, or pricing for the current GPU-cloud offering. The best-supported characterization is therefore early-stage with disclosed financing and historical operating traction, but unquantified traction for its current AI-infrastructure business rather than confirmed pre-revenue status.

Founders & Leadership

Thomas MargeFounder
Co-Founder, CEO
Derek ModzelewskiFounder
Co-Founder, CTO

Funding History

2024-09
Pre-Seed$500K

Y Combinator, Climate Capital

2025-05
Seed$4M

Y Combinator, SurgePoint, Aera, General Catalyst, Collab Fund, Climate Capital, Olive Tree, Rebel Fund, Sand Hill North, Orange Collective, Great Wave Ventures

Recent News

2026-07-24other
Climate Tech

Dealroom’s climate-tech directory lists Rewbi as a company using AI to increase revenue from grid-connected battery storage.

2025-10-06other
The Andorra startup ecosystem | Team - Premium Feature

An Andorra startup-ecosystem profile described Rewbi as using AI to increase grid-connected battery-storage revenue twofold and listed San Francisco as its headquarters.

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Business Model

For its battery-storage business, Rewbi rents storage for a fixed monthly fee and earns more than double that fee by charging when electricity is cheap and discharging when it is expensive. Its current GPU-cloud offering finances hardware and manages deployment, power, and operations, providing dedicated compute without customers’ upfront hardware investment; exact GPU pricing is not publicly disclosed.

Products

Private GPU clouds and dedicated AI infrastructureOn-premises AI infrastructure deploymentsAI-driven grid-connected battery-storage optimization and automated dispatchBattery-storage rental, offtake, and grid-balancing services

Customers

No publicly named enterprise customers found in the reviewed sources

Tech Stack

AI/ML modelsReal-time energy-market forecasting and optimizationAutomated battery dispatch and tradingHigh-performance GPU infrastructurePrivate and on-premises cloud infrastructure

Competitors

CoreWeave
Lambda Labs
Vast.ai
Entrix
GridBeyond
Fluence Energy
Tesla Autobidder
Stem