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Neutreeno

Neutreeno engineers a decarbonization system that utilizes proprietary process networks and advanced engineering models to eliminate emissions at the source. The platform provides precise emissions data and insights, enabling businesses to achieve deep supply chain decarbonization and identify low-carbon procurement pathways.

Cambridge, United KingdomFounded 2020101K+ followers
Updated 20 months ago

Funding

$6.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

RV
Funding rounds are not available yet.

Founders

Product

Problem

Many businesses struggle to accurately measure and reduce carbon emissions across their complex supply chains due to a lack of precise data and engineering insights. Existing methods often rely on limited data points and fail to identify the most effective decarbonization pathways.

Solution

Neutreeno offers a decarbonization system that leverages proprietary process networks and advanced engineering models to provide granular emissions data and insights. The platform analyzes material and energy flows within manufacturing processes to identify inefficiencies and opportunities for decarbonization. By integrating circularity principles and analyzing thousands of products, Neutreeno helps businesses gain confidence in their emissions data, engineer resource-efficient production, and unlock low-carbon procurement pathways. The system uses advanced uncertainty algorithms to generate insights from limited data, dynamically tracking emissions across entire value chains.

Target Audience

Neutreeno targets businesses seeking to achieve deep decarbonization within their supply chains, particularly those in manufacturing and industries with complex value chains.

Features

  • Proprietary process networks for detailed analysis of supply chain emissions
  • Advanced engineering models to optimize resource and energy flows
  • Integration of circularity principles to reduce waste and emissions
  • Uncertainty algorithms to generate insights from limited data points
  • Identification of low-carbon procurement pathways
  • Visualizations of emissions data to facilitate decision-making
This profile is AI-generated and may contain inaccuracies.