Monitoring biodiversity and ecosystem health traditionally requires separate, specialized tools and expertise for ecoacoustics, camera trapping, and environmental DNA (eDNA) analysis. Integrating these diverse datasets to gain a holistic understanding of an ecosystem is complex, time-consuming, and often inaccessible to conservationists on the ground. This fragmented approach hinders effective and scalable conservation strategies.

This startup offers AI-powered tools that integrate ecoacoustic monitoring, camera trapping, and eDNA analysis to provide a comprehensive assessment of ecosystem health. The platform automates the analysis of data from each source, standardizes the information, and combines it to generate actionable insights. By providing a unified view of biodiversity, the company enables targeted conservation strategies and facilitates data-driven decision-making. The tools are designed to be accessible and scalable, empowering conservationists to monitor and protect ecosystems more effectively.

AI-powered analysis of ecoacoustic data to detect species-specific sounds and monitor soundscapes.

Automated species identification from camera trap images using machine learning.

eDNA analysis to detect genetic signatures of species in soil, water, or trap samples.

Integrated platform for data standardization, analysis, and visualization.

Cloud-based data processing for scalability and accessibility.

Tools for establishing biodiversity baselines and assessing the impact of conservation initiatives.

The primary users are conservationists, scientists, policymakers, and local communities involved in biodiversity monitoring and ecosystem conservation.