BeeSwarmly reads temperature, humidity, acoustics, and weight data from sensors inside your hives — and alerts you days before a swarm event. Stop reacting. Start predicting.
We combine multiple sensor streams into a single, actionable swarm probability score for each hive.
Sensors track brood nest temperature and cluster position across the hive body. Rising heat patterns at the hive periphery are one of the earliest indicators that workers are preparing to swarm.
A microphone inside the hive captures worker piping, queen tooting, and changes in the collective hum frequency. Our model recognizes the acoustic signature of pre-swarm agitation 48–72 hours before departure.
A precision scale under each hive measures colony mass continuously. A sudden drop in foraging weight combined with rising evening mass is a classic swarm precursor our system catches automatically.
I lost four colonies to unexpected swarms last season. This year, BeeSwarmly flagged every pre-swarm event at least two days out. I didn't lose a single hive.
Numbers from our first two seasons of pilot deployments.
Every year, beekeepers lose productive colonies to swarms they never saw coming. The queen is laying well, stores look healthy, inspections reveal nothing — and then half the colony leaves overnight. The data to predict these events already exists inside the hive. It just needs the right system to read it.
BeeSwarmly was born from that frustration: a set of affordable sensors, a prediction model trained on real hive data, and a simple alert system that tells beekeepers what their bees are about to do.
BeeSwarmly is accepting new beekeepers into our pilot program. Sensor kits ship within a week, and setup takes about twenty minutes per hive. You'll have real-time data on your dashboard by day one.