


Our Clients
We empower conservation leaders worldwide with cutting-edge technology solutions that accelerate
positive impact for our planet.

Our Network
Our thriving global ecosystem unites passionate experts, respected institutions, and protected lands in a shared mission to revolutionize conservation through technology.
590+
Researchers & Conservationists
5
Continents
45
NGOs
15
Universities
24
National Parks
27
Conservancies

Success Stories

Endorsements & Recognition
Leading conservation scientists and field researchers validate our technology's transformative impact on wildlife protection and ecological research.

Organizations we support





























































































Publications
December 7, 2024
Otarashvili, L., Subramanian, T., Holmberg, J., Levenson, J. J., & Stewart, C. V.
Multispecies Animal Re-ID Using a Large Community-Curated Dataset IET Computer Vision, Special Issue: Camera Traps, AI, and Ecology. https://arxiv.org/abs/2412.05602
September 2, 2024
Helena Gurjão Pinheiro do Val, Juarez Carlos Brito Pezzuti, Elildo Alves Ribeiro Carvalho-Jr.
Identificando ocelotes por el patrón de manchas usando el Whiskerbook Mammology Notes Vol. 10 Núm. 2 (2024). https://doi.org/10.47603/mano.v10n2.413
June 17, 2024
Anita Wilkinson, Michael Fabricius, Erica Brink, Rebecca Garbett, Eugene Hahndiek, Kathryn S. Williams. Leopard dispersal across a fragmented landscape in the Western Cape, South Africa African Journal of Ecology Volume 62 Issue 3. https://doi.org/10.1111/aje.13284
January 26, 2024
Bennitt E. Automated identification of African carnivores: conservation applications Trends in Ecology & Evolution (2024) Jan 6:S0169-5347(23)00338-5. doi: 10.1016/j.tree.2023.12.007
November 6, 2023
Cozzi, G., Reilly, M., Abegg, D., Behr, D. M., Brack, P., Claase, M. J., Holmberg, J., Hofmann, D. D., Kalil, P., Ndlovu, S., Neelo, J., & McNutt, J. W. (2023). An AI-based platform to investigate African large carnivore dispersal and demography across broad landscapes: A case study and future directions using African wild dogs. African Journal of Ecology, 00, 1–9. https://doi.org/10.1111/aje.13227
October 25, 2022
Verschueren, S., Fabiano, E.C., Kakove, M., Cristescu, B. & Marker, L. (2022). Reducing identification errors of African carnivores from photographs through computer-assisted workflow. Mammal Research. https://doi.org/10.1007/s13364-022-00657-z