Intelinair, an automated crop intelligence company that uses AI and machine learning to help growers and agronomic advisors turn field data into decisions, announced it has been selected as winner of the “AI-based AgTech Innovation of the Year” award in the 7th annual AgTech Breakthrough Awards program conducted by AgTech Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies, and products in the global agricultural and food technology markets today.
Every season, a single farm can generate terabytes of data from imagery, soil sensors, yield monitors, weather feeds, and planting records, yet most growers and advisors struggle to turn it into timely decisions. Intelinair built its AGMRI platform to close that gap. AGMRI integrates imagery, soil sampling, real-time weather, planting, and harvest records and field boundaries into a single, continuously updated view of enrolled corn and soybean fields, storing data across many zones per field to capture the within-field variability field-level averages miss.
“Growers and their advisors have never had more data, and yet the hardest part of their job is still turning that data into the right decision at the right time,” said Tim Hassinger, President and CEO of Intelinair. “AGMRI was built to do that synthesis, and the AGMRI AI Agent now lets an advisor simply ask a question and get an answer in seconds that used to take hours of analysis. Being recognized by AgTech Breakthrough is a tremendous honor for the team that made it possible.”
At the core of AGMRI, proprietary machine-learning models analyze multispectral imagery to detect crop stress, disease, nutrient deficiency, drainage issues, and stand problems, often before they are visible to the human eye, then enrich those findings with soil, application, and seed-placement data.
The platform’s AGMRI AI Agent, live for the 2026 crop season, opens those capabilities to plain-language questions: it queries the live data directly, accounts for differences in soil and field conditions to keep comparisons fair, and returns formatted reports, dashboards and prescription maps. Analysis that once took two to four hours per grower now takes under a minute, supporting decisions on hybrid placement, seeding rates, fungicide timing, harvest sequencing and field-level profitability.
