Smart Landfills. Cleaner Features. Trusted Data.
103 sites across Africa, Europe, USA and growing.
We’re a diverse team of data scientists, engineers, and environmental advocates on a mission to harness advanced AI and satellite analytics for a more sustainable future. Backed by Microsoft’s startup funding, we measure methane and CO₂ emissions from landfills in near real time—while also detecting human factors like informal waste pickers.
We are proud to be supported by the Microsoft Startup Fund, enabling us to enhance our AI, satellite intelligence, IoT ground data, and drone technology solutions. This partnership fuels our mission to bring real-time, holistic insights into landfill operations—empowering businesses, governments, and communities to make environmentally responsible and profitable decisions.
Panoptica seamlessly unites AI, satellite intelligence, IoT ground data, and drone technology to deliver real-time, holistic insights into landfill operations—spanning everything from methane and CO₂ emissions to informal waste picker activities. By focusing on five key metrics—(1) methane emissions, (2) CO₂ emissions, (3) landfill extent, (4) human presence, and (5) hotspots or anomalies—we empower businesses, governments, and communities to make environmentally responsible and profitable decisions.
We measure data from landfills via AI-driven analysis of satellite, drone, and IoT data, ensuring accurate, up-to-the-minute insights.
Our platform identifies informal waste pickers and other on-site activities, enabling community-focused strategies and improved safety measures.
We pinpoint potential risks—from fire hazards, changes in landfill, to leakage hotspots—allowing rapid response and prevention of costly disruptions.
Our system seamlessly integrates with on-ground IoT sensors, giving you a 360° view of landfill conditions for data-driven decision-making.
By correlating emissions data with economic drivers, we help stakeholders uncover new revenue opportunities and cost savings while fulfilling ESG goals.
Our predictive models anticipate waste trends and emissions patterns, enabling proactive and strategic landfill management.
Our research initiatives drive innovation at the intersection of landfill monitoring, AI, and satellite data. We aim to collaborate with leading universities and global organizations to publish findings on landfill quality, informal waste economies, and sustainable waste management technologies.
Stay updated with our latest fieldwork and model developments.
Interwaste KlinkerStene
Stellenbosch Landfill - Cape Town - Public Raalebborg Environmental