AI Generated Image
Remote Sensing & AI Powered Solutions
Research-based modeling, mapping, tracking, and management of green resources
We use satellite images, AI/ML and deep learning models, and research materials to reduce the risk associated with nature-based investments, expedite project development, and provide accurate measurements of the impact of climate change and biodiversity across ecosystems.
AI-Powered
Advanced Analytics
Satellite
Remote Sensing Tech
Precision
Carbon Estimation
Global
Scalable Solutions
Our Services
Scientific Solutions for Sustainable Impact
From forest, agroforestry, agriculture, soil monitoring to carbon credit development, we provide end-to-end solutions powered by cutting-edge technology.
Our Technology
Powered by scientific research and innovation
We make use of scientific publications, satellite images, ground data and use of AI/ML and deep learning models to deliver the most accurate scientifically validated nature-based solutions.
Scientific publications
Reputed scientific publications, reports and registry guidelines we design the approach and methodology.
Satellite images
High resolution satellite images for mapping, modeling and monitoring of green cover.
Ground data
Ground data for training samples and validation of results.
AI/ML and deep learning algorithms
AI/ML and deep learning algorithms will be used for precise mapping and to reach highest accuracy.
AI Generated Image
Meet Our Founder
Vision Driven by Expertise
"Our mission is to bridge the gap between technology and environmental sustainability, creating solutions that benefit both businesses and our planet."
Prashant Patil
Founder & CEO
Mr. Prashant Patil received his four-year Bachelor of Science in Forestry from the University of Agricultural Sciences, Dharwad, College of Forestry, Sirsi. He completed his M.Tech in Remote Sensing and GIS Application in Forestry and Ecology from the Indian Institute of Remote Sensing (ISRO), Dehradun.
Mr. Patil has contributed to numerous national and international projects, worked at national and international research institutes and centers, and published about 35 research articles and reports in national and international journals. His research findings have been presented at multiple international conferences in Jordan, Germany, and China.
His research focuses on non-destructive approaches for estimating standing biomass and carbon of forests, agroforestry, standing agriculture crops, high-resolution LULC mapping, and high-resolution crop type mapping using AI/ML algorithms.
Having worked in startups and multinational corporate companies, Mr. Patil has successfully completed projects in India, Jordan, China, Sri Lanka, Afghanistan, Iraq, Syria, Morocco, Senegal, Kenya, and France. He has also visited Jordan, China, Germany, Switzerland, and Italy.
FAQ
Frequently Asked Questions
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