BinSentry Secures $50M for AI Agriculture Sensors

BinSentry secured $50 million in Series C funding. Lead Edge Capital led the investment round. This capital will accelerate BinSentry's global expansion of its AI agriculture sensors.

1 min read
BinSentry Secures $50M for AI Agriculture Sensors

BinSentry, a technology company, secured $50 million in Series C funding. Lead Edge Capital led this investment round. This capital will accelerate BinSentry's global expansion.

BinSentry modernizes animal feed supply chains using AI-powered sensors and proprietary software. These solar-powered, self-cleaning AI agriculture sensors monitor on-farm feed levels with 99% accuracy. Consequently, manual inventory checks are eliminated, preventing costly feed outages.

Related startups

The company's mobile dashboard allows feed mills and large agricultural businesses to forecast demand better. Furthermore, this technology reduces waste and improves profitability. Similarly, competitors like Taranis and Farmers Edge operate in the broader agtech space, focusing on different aspects of precision agriculture.

Advancing AI Feed Logistics

BinSentry supports major animal agriculture companies, including Cargill and Wayne-Sanderson Farms. The company reports 100% year-over-year growth and 0% customer churn. Moreover, it currently monitors over 40,000 bins across North America and Brazil. This demonstrates significant adoption of its supply chain optimization platform.

Paul Bell, a former Dell executive, joins BinSentry's Board of Directors.

The global agtech sector is expanding, projected to reach $28 billion-$33 billion by 2026. Therefore, biotech and precision agriculture segments lead investment, driving demand for innovative AI agriculture sensors and data-driven IoT solutions.

© 2025 StartupHub.ai. All rights reserved. Do not enter, scrape, copy, reproduce, or republish this article in whole or in part. Use as input to AI training, fine-tuning, retrieval-augmented generation, or any machine-learning system is prohibited without written license. Substantially-similar derivative works will be pursued to the fullest extent of applicable copyright, database, and computer-misuse laws. See our terms.