This carbon tech platform offers an AI-powered analytics suite that helps businesses track and reduce their carbon emissions. The platform generates compliance reports and identifies low-carbon pathways, enabling companies to achieve net-zero goals through a subscription service.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to accurately measure, monitor, and reduce their carbon emissions across various operational scopes, hindering their ability to meet sustainability goals and comply with evolving environmental regulations. Traditional methods of carbon accounting are often time-consuming, imprecise, and lack the real-time insights needed for effective decarbonization strategies.
Solution
Zasti offers an AI-powered carbon tech platform, ATOM, that enables businesses to accurately assess, target, optimize, and monitor their carbon footprint. The platform leverages a proprietary carbon emission metrics database, combined with real-time customer data, to provide precise measurement of direct and indirect greenhouse gas emissions. ATOM generates AI-driven compliance reports, identifies carbon emission hotspots, and facilitates the development of customized decarbonization roadmaps. The platform also supports carbon offsetting opportunities and provides real-time dashboards for monitoring progress towards decarbonization goals, ensuring compliance with major reporting guidelines.
Target Audience
Zasti primarily serves organizations in the healthcare, pharmaceutical, agriculture, and transportation sectors seeking to achieve net-zero carbon emissions and comply with environmental, social, and governance (ESG) standards.
Features
- AI-powered carbon calculator for real-time emissions tracking
- Proprietary Healthcare Carbon Database (HCD) for accurate baselining in the healthcare sector
- Pre-built AI algorithms for identifying carbon emission hotspots
- AI Regulatory Engine for generating compliance reports
- Customizable dashboards for stakeholder management and progress monitoring
- Integration with blockchain architecture for transparency and standardization in carbon estimation
- "What-if" scenario creation for optimization planning
- Patented AI technology for carbon-efficient code optimization