Named after Argus Panoptes—the all-seeing, hundred-eyed sentinel of Greek mythology—Project ARGUS (Autonomous Response and Ground Unit Support) is an autonomous aerial security and conservation platform. ARGUS fuses ground sensors, AI-enabled wildlife collars, and a docked beyond-visual-line-of-sight (BVLOS) drone into a single, always-on protective layer for endangered species and critical conservation assets.

The Gundi Program exists to solve that interoperability gap. Built by and for the global conservation community, Gundi (a word meaning “glue” in Swahili) is a free, open-source data integration platform that seamlessly connects any sensor and any application—so conservationists and developers can spend less time on custom integrations and more time on impact.

The Akili Program is an AI-enabled conservation science platform designed to help teams manage, enrich, analyze, and share sensor-driven biodiversity data. Akili reduces the manual burden of processing large datasets and strengthens scientific workflows by supporting machine learning, computer vision, and open standards—so researchers and practitioners can spend less time sorting files and more time generating defensible ecological insight.

Our Conflict Mitigation Boxes (RAD Program) use AI-enabled Remote Activated Devices (RAD units) to help prevent conflict before it happens. RAD units are designed to detect risk conditions and trigger deterrent stimuli that discourage predators from approaching or interacting with high-risk areas—supporting safer human–wildlife coexistence, reducing property damage, and lowering the need for constant manual intervention.