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AI & Machine Learning/Pre-seedcarbon trackingAI sustainabilitydata center efficiencyreal-time emissions·

Neuralwatt

First real-time carbon tracker for AI workloads

What it does

Neuralwatt provides a platform that calculates the carbon emissions of individual AI requests in real time, helping companies optimize energy use and comply with sustainability regulations. The company offers three products: Neuralwatt Cloud, Neuralwatt Deploy, and Neuralwatt Optimize.

Who it is for

Neuralwatt is designed for AI companies and data center operators that run large-scale AI inference workloads and need to manage power consumption, reduce carbon footprint, and meet regulatory requirements.

Why it matters

AI workloads are energy-intensive, and data centers face increasing pressure to improve efficiency and reduce emissions. Neuralwatt enables organizations to reclaim stranded power, increase GPU density, and flex power consumption based on grid demand, leading to lower costs and environmental impact.

Launch signal

Neuralwatt is currently in pre-seed stage, founded by Chad Gibson. The company has a live website and offers a demo, indicating it is operational and seeking early customers.

Brand and naming

The name "Neuralwatt" combines "neural" (referring to neural networks/AI) with "watt" (unit of power), clearly communicating the focus on AI power efficiency. The tagline "First real-time carbon tracker for AI workloads" positions the company as a pioneer in sustainability for AI.

Founder

Chad Gibson

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