Mozaic Earth provides a platform for ground-truthing nature data by enabling scalable, transparent collection of habitat and biodiversity information. Their mobile application allows field staff and local communities to capture geolocated data easily, even offline. The platform integrates this ground data with AI-powered remote sensing for audit-grade biodiversity risk and impact reporting.
Funding
$642.6K 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
Organizations face challenges in efficiently collecting and analyzing habitat and biodiversity data, hindering their ability to effectively monitor ecological impact. Traditional methods often lack scalability, transparency, and the ability to integrate ground-level data with landscape-scale insights. This makes it difficult to quantify and manage biodiversity risks and ensure compliance with evolving environmental regulations.
Solution
Mozaic Earth offers an AI-driven platform that streamlines the collection and analysis of habitat and biodiversity data, enabling organizations to efficiently monitor their ecological impact. The platform combines an intuitive mobile app for field data collection with AI-powered remote surveys, providing a comprehensive view of environmental conditions. By facilitating collaboration with local staff and communities, Mozaic Earth ensures consistent and accurate data capture, even in offline environments. The platform then integrates this ground-truth data with remote sensing insights to generate audit-grade reports, quantifying biodiversity risks and tracking impact across entire portfolios.
Target Audience
Mozaic Earth primarily serves environmental organizations, conservation groups, and corporations needing to monitor and report on their biodiversity impact and comply with environmental regulations.
Features
- Intuitive mobile app for guided image capture and data input, designed for use by non-experts with minimal training
- Offline functionality enabling data collection in remote areas with limited connectivity
- AI-driven analysis of remote sensing data to accelerate habitat and biodiversity surveys
- Collaborative platform allowing ecologists and specialists to seamlessly work together on data analysis
- Automated generation of transparent, auditable reports compliant with environmental regulations
- Integration of ground-truth data with landscape-scale remote sensing insights for comprehensive impact assessment
- Rewards system to incentivize community participation in data collection efforts