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Our Clients

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

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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

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Success Stories

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Wild Entrust: Pioneering AI-Powered Conservation in Africa

As a founding partner of the ArgusWild AI platform in 2020, Wild Entrust Africa has transformed from a pioneering collaborator to a driving force in AI-powered wildlife monitoring. Drawing on over three decades of conservation experience, they provided crucial expertise, resources and data that helped shape ArgusWild into a powerful conservation tool. Their leadership has inspired adoption across the KAZA TFCA region, creating a network of wild dog conservation programs collaborating on ArgusWild.
 

The results have been significant: Wild Entrust's research team has analyzed over 25,000 photographs across 56,000 square kilometers, tracking 553 individual wild dogs through 248 sightings across three countries. The platform's efficiency is demonstrated daily in their field operations - identification tasks that once took hours of manual work are now completed in seconds. This was highlighted when ArgusWild instantly identified "Kahlua," a breeding hyena they've monitored since 2006, from among 600+ individuals in their database. 


Through their early adoption and ongoing work with this technology, along with their tireless advocacy for the adoption of the platform, Wild Entrust has not only enhanced their research capabilities but has also significantly contributed to the advancement of carnivore conservation and research practices across southern Africa.

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Endorsements & Recognition

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

“Iconic, rare, spectacular and fearsome, Africa's large predators are among our planet's most revered - and most threatened. Knowledge about these predators' population connectivity is critical to mapping the strategy to ensure their future and the health of the ecosystems Africans and Africa's wildlife depend on. The ACW [now ArgusWild AI] is the tool that will enable conservationists and wildlife ecologists to document that critical connectivity.”

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JW McNutt, PhD

Director, Wild Entrust
Founder and Director

Botswana Predator Conservation

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Organizations we support

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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

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

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