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Findmy's connection to the AI agent ecosystem is found at the intersection of IoT and autonomous physical systems. While the company does not build large language models, it provides the essential telemetry required for autonomous agricultural agents to operate in the real world. For an AI agent to manage a farm or monitor animal health autonomously, it requires high-frequency, reliable data from the field. Findmy acts as the data ingestion layer for these remote environments.
In the broader agent stack, Findmy is an example of an 'edge sensor agent'—a hardware-software hybrid that autonomously collects, filters, and transmits state updates from the physical world into digital systems. As agricultural technology moves toward more autonomous decision-making, the satellite-based data pipeline established by Findmy will be a critical prerequisite for agents operating outside the reach of traditional internet infrastructure.
Findmy AS is a Norwegian company that has spent the last decade solving a connectivity problem that most of the tech industry ignores. In the Norwegian mountains and the vast plains of South America, cellular networks are non-existent. For farmers managing thousands of sheep or cattle in these 'extensive' grazing systems, traditional GPS trackers are useless because they cannot transmit data back to a base station. Findmy addresses this by bypassing terrestrial infrastructure entirely.
The company's hardware consists of ruggedized tracking collars that connect directly to the Globalstar satellite network. This architecture allows a farmer to see the exact location of their livestock on a digital map, regardless of how far the animals have wandered from civilization. The technical challenge Findmy manages is the power-to-data ratio. Satellite transmissions are energy-intensive, and these collars must last an entire grazing season without a battery change. By optimizing data packet sizes and transmission intervals, Findmy provides a consistent telemetry stream from the edge of the physical world.
Findmy was born from practical necessity. Founded by sheep farmers in Norway, the company initially focused on reducing the loss of livestock during the summer grazing months. In Norway, sheep are often released into the mountains to graze freely, and locating them for autumn gathering or in the event of predator attacks was historically a manual, labor-intensive process.
What began as a tool for Norwegian sheep farmers has since expanded into a global agri-tech operation. The company now provides tracking solutions for cattle in Brazil and reindeer in the Arctic. The move from sheep to larger livestock required adjustments in hardware form factor, but the underlying software platform remains focused on the same goal: turning animal movement into actionable data.
Findmy is part of a broader shift in agriculture toward data-informed management. Beyond simple location tracking, the data collected by these collars allows for a more granular understanding of animal welfare. If an animal stops moving for a specific period, the system can trigger an alert, allowing the farmer to intervene quickly. This is a move away from reactive farming toward a more proactive, automated model.
As the company has scaled, it has focused on the integration of this tracking data into broader farm management systems. While the hardware is the most visible part of the business, the long-term value lies in the dataset Findmy is building regarding animal behavior and land use in remote environments. In a market where 'smart farming' usually refers to precision tractors in 5G-covered fields, Findmy is one of the few players focused on the billions of hectares of grazing land that remain offline.
Satellite-based tracking collars for livestock in remote areas.
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