Sunflower Labs has launched AI Insights, a set of intelligent features that acts as a layer for the Beehive system and uses a combination of custom-tuned models deployed in Sunflower Labs’ backend to extract more useful information from drone imagery and footage.

AI Insights expands beyond basic object classes such as people, vehicles, and animals to detect a broader range of subclasses and site-relevant conditions, ranging from delivery vans and RVs to fire, vandalism, and other anomalies.

The system also analyzes the broader scene to provide more complex context. For example, AI Insights can help determine whether people on site appear to be residents, workers, pedestrians, delivery personnel, or unknown individuals. These detections can be sent to security teams through descriptive voice alerts, giving operators clearer situational awareness when operating multiple systems at the same time.

“Security teams don't need more footage. They need better context,” said Pachikov. “AI Insights turns the Beehive into a system that can describe what is happening, classify what it sees, and help teams understand whether something requires attention.”