Case Study: Flox protects wildlife with AIoT using Golioth

How Flox is Keeping Animals from Harm using AI and IoT

Flox, a company focused on wildlife management, needed to deploy and update AI models across a remote fleet of IoT devices with unreliable connectivity. Their system had to handle large volumes of image and sensor data, perform real-time AI inference on the edge to repel animals, and continuously retrain its models. To solve this, Flox turned to the vendor Golioth for a robust and scalable IoT platform.

Golioth provided its platform to manage over-the-air updates for both firmware and AI models, ensuring Flox's remote devices remained current. The solution used Golioth Pipelines to relay data from devices back to the cloud, creating a feedback loop for retraining and improving the AI models. The result was a highly reliable and efficient system that enhanced the accuracy of animal detection and repulsion, allowing Flox to scale its operations without being burdened by network infrastructure management.

Flox

Tomas Becklin

Chief Technology Officer