Where better questions take root.
We work with researchers, universities, NGOs, agricultural organizations and other partners interested in applying data and AI to real agricultural challenges.
See the demo, learn more about Culvera, or explore our research and technology.
Get in touch
Interested in a research collaboration, pilot project or partnership? We’d be happy to hear from you.
- culveraai@gmail.com
- linkedin.com/company/culveraai
- @culveraai
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Frequently Asked Questions
Learn more about Culvera AI, our research approach and how we work with partners.
What is Culvera AI?
Culvera AI is an agricultural decision-intelligence platform designed to combine environmental, soil, satellite, farm and other relevant data to help agricultural stakeholders make more informed decisions.
Who does Culvera work with?
Culvera is developing partnerships with universities, researchers, NGOs, farmer organizations, public institutions and other organizations working directly on agricultural challenges.
Does Culvera work directly with farmers?
Culvera is designed to ultimately support farmers, but initial deployments are being developed through trusted local research and institutional partners rather than introducing the technology independently into farming communities.
Where is Culvera currently conducting research?
Culvera is currently exploring applied-research opportunities in Vietnam, including agricultural challenges affecting the Mekong Delta. Additional regions and use cases may be developed as the platform expands.
What kinds of agricultural problems can Culvera address?
Culvera’s architecture is designed to combine multiple sources of data around specific agricultural problems. Potential applications include crop and yield intelligence, soil and input management, climate risk, salinity, crop-quality risks and other location-specific farming challenges.
Does Culvera replace agronomists or laboratory testing?
No. Culvera is intended to complement scientific expertise, field measurements and laboratory testing. The platform uses those sources as inputs and helps translate them into predictive and decision-support tools.