CO2 AI is a software platform that enables large organizations to measure their carbon emissions and identify reduction strategies using AI-driven analytics. The platform streamlines data collection and reporting, facilitating compliance with international standards while helping companies achieve their net-zero targets efficiently.
Funding
$12M 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.
Founders
Product
Problem
Many large and complex organizations struggle to accurately measure their environmental impact and identify effective strategies for reducing carbon emissions across their value chains. Traditional methods of data collection and analysis are often time-consuming, inaccurate, and lack the scalability needed to meet increasingly stringent reporting requirements and net-zero targets.
Solution
CO2 AI offers a sustainability action platform that leverages AI to enable large organizations to measure their environmental impact, identify decarbonization opportunities, and implement sustainability initiatives at scale. The platform streamlines the collection and analysis of activity data, using AI-powered emissions factors to improve data quality and accelerate the footprinting process. By providing pre-built data visualizations and product-level carbon footprints, CO2 AI helps companies identify emissions hotspots and collaborate across their value chain to reduce their environmental impact. The platform also allows organizations to set concrete emissions reduction targets, track progress against those targets, and generate audit-ready reports for compliance with international standards and regulations.
Target Audience
The primary target audience includes large and complex organizations across various industries that are seeking to measure, report, and reduce their carbon emissions to meet sustainability targets and comply with international regulations.
Features
- ETL pipelines for connecting to activity data across the organization
- AI-powered emissions factors matching to increase data quality and speed
- Direct requests for primary data across the supplier network via CDP integration
- Pre-built data visualizations to identify emissions hotspots
- Product-level carbon footprints with transparency and traceability
- Roadmap and initiatives tracking, broken down by teams and products
- Impact visualization of reduction initiatives, including those of suppliers
- Business forecast integration for progress communication