Science First
Every product is grounded in transparent, peer-reviewed methods.
Bringing clarity to a changing planet.
We build AI tools that turn raw Earth observation data into actionable insights. We help cities, operators, and communities make faster, fairer, and science-backed climate decisions.
Our story
Eyeclimate began as a PhD research question at UCSB:
“Can we actually see climate pollution and risk, not just model it?”
That question turned into prototypes, then field-tested tools, and eventually a company. In 2024, our core R&D moved to Stanford, expanding our work from methane detection to air quality intelligence and wildlife monitoring.
Today, Eyeclimate unites university research, rigorous science, and real-world impact — building products that help cities breathe cleaner air, operators reduce emissions, and ecosystems thrive.
Our values
What allows us to succeed and work better together.
Collaboration
Climate solutions require networks, not silos.
Integrity & Openness
We prioritize traceable data and trustworthy results.
Impact Over Hype
We build tools that work in the real world, not marketing slides.
Meet our team
We are engineers, scientists, and researchers with backgrounds in remote sensing, AI, climate science, and environmental monitoring.
Satish Kumar
Founder and CEO
Bowen Zhang
Co-Founder and CTO
ASM Iftekhar
Co-Founder and Director of R&D
Rahul Vishwakarma
Co-Founder and Director of Engineering
Sunny Kumar Yadav
Engineering Lead
Advisors
Built with the best.
B. S. Manjunath
Distinguished Professor, Frank Koenig Distinguished Chair in ECE
Michael Franco
Former CEO at Riptide IO Inc
Jared Stabach
Research Ecologist at Smithsonian Conservation Biology Institute
David Arthurs
Chief Financial Officer at Aquantis, Inc
Steve Wells
Exited SaaS Founder, Advisor, Investor
Selected publications
Our methods, in the open.
2024
Wildlifemapper: Aerial image analysis for multi-species detection and identification
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · Animal detection in open grasslands of Masai-mara
2023
Advances towards automatic detection and classification of parasites microscopic images using deep convolutional neural network
Springer Netherlands
2023
Methanemapper: Spectral absorption aware hyperspectral transformer for methane detection
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)
2021
StressNet: detecting stress in thermal videos
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
What we believe in...
Climate intelligence should be accessible, explainable, and actionable. We bridge the gap between research and reality — turning unsolved problems into peer-reviewed research, and research into usable products.
Contact us