Insect Track Solutions Inc. is a Canadian ag-tech company focused on developing practical, science-based tools for insect monitoring in modern agriculture. The company was officially incorporated on June 20, 2025, in Saskatchewan, Canada.
Our mission is to improve how growers, agronomists, and researchers detect, understand, and respond to insect pressure in real time. We develop technologies that support faster, clearer decision-making directly in the field by combining artificial intelligence with field data and real-world agronomic practices.
Our work is grounded in the need for more efficient, accurate, and scalable monitoring systems. We collaborate with farmers, researchers, and industry partners to ensure our tools are both practical and scientifically robust across different agricultural environments.
We are committed to supporting more sustainable farming systems by enabling better-informed pest management decisions that reduce unnecessary pesticide use and protect beneficial insects such as pollinators and natural enemies.
Insect Track Solutions Inc. develops integrated technologies that allow users to monitor, identify, and interpret insect activity in real time.
Our main solution, IPPM Now, is an AI-powered platform that combines a mobile application with smart trap technology. Through this system, users can identify insect species from images, track their presence across fields, and access science-based insights to support pest management decisions.
The platform integrates:
Together, these tools create a connected system that transforms insect monitoring from manual and time-consuming practices into a scalable, data-driven process that supports real-time decision-making.
Every feature we build is grounded in peer-reviewed research and validated through rigorous field testing.
We communicate clearly about model capabilities, limitations, and the reasoning behind our recommendations.
We support researchers, agronomists, and producers by providing a shared intelligence platform for insect monitoring. Our role is to bridge the gap between field observations and data-driven decision support. Enabling better outcomes through collaboration, transparency, and accessible technology designed for real-world agricultural conditions.
