World Agri-Tech San Francisco

AGX AI joined World Agri-Tech San Francisco to connect with leading innovators, investors, and industry partners shaping the future of AI in agriculture. Our team built relationships with key stakeholders across the event, expanding the network of contributors and collaborators driving the AGX AI Community of Practice forward. We also helped facilitate the Benchmarking Workshop: […]
India AI Summit

This interactive session convenes leaders advancing AI advisory systems in agriculture to explore AGX AI as a growing community of practice focused on responsibly scaling AI for small-scale producers. Drawing on work in benchmarking, data corpus development, and model approaches, the session highlights emerging learning priorities, key collaboration needs, and opportunities for participants to help […]
AGX Unconference Nairobi

The AGX Unconference Nairobi 2025 was held from July 23–24 at the ILRI Conference Center and served as the inaugural event in a new global series focused on accelerating the digital transformation of agrifood systems. The convening centered on the theme “DPI & AI in Agriculture: A More Efficient Future,” and explored how emerging technologies […]
AGX Unconference Bengaluru

After the energy, ideas, and collaboration we sparked in Nairobi, the AGX community came together for an invitation-only event in Bengaluru on October 6. This time, the event dove into the future of agriculture through the lens of AI and Digital Public Infrastructure in India – bringing bold voices, practical solutions, and dynamic conversations to […]
World Agri-Tech

AGX AI will be featured as a Gold Partner at this year’s World Agri-Tech Innovation Summit, bringing together global leaders across agriculture, technology, investment, and policy to shape the future of food and farming. Through our interactive breakout session and mainstage contributions, we’ll spotlight how data, partnerships, and policy alignment can accelerate responsible AI adoption for small-scale producers—and what’s needed to scale solutions […]