Honeybees are important for natural pollination and food security. To hobby beekeepers, this super-organism is also a cute pet.
Traditional beekeeping involves hard physical labor and frequent inspections to keep track of the colony state. Monitoring is needed so that colonies survive varroa mite infestation, starvation, hornet attacks, robbing state, late swarming, viral and bacterial infections and pesticide exposure.
Inspections are limited in time and need full attention to spot smallest details. Manual inspections do not scale well with the amount of colonies and growth of the vertical hives.
Without proper technological solutions, most beekeepers to this day rely on using alcohol washing tests that kill hundreds of bees just to get level of mite infestation.
We help with observability so that you can be a better beekeeper
Shape the future of beekeeping
Our long-term vision is a robotic beehive. Interested in details how it would work?
Gratheon app is fully open source. We provide flexible GraphQL API with API tokens to import or export data.
We're looking for partners and investors to speed up and scale our development. We are looking for engineers to join our team. We are looking for beekeepers to test our product.
Join us. Got ideas to share or questions to ask?Join in Discord Read Notion
Pricing & limitations
15.00 € / month
2 weeks trial
5.00 € per beehive / month +
10.00 € per user / month
Varroa mite detection
Entrance video monitoring
1 user max
5 beehives max
10 frames / hive max
10 images / day max
1 year data retention
1 month image retention
1 user max
20 beehives max
40 frames / hive max
unlimited data retention
2 years image retention
50 users max
10k hives max
60 frames / hive max
7 days video retention
Gratheon is built on the shoulders of giants. We pick and integrate the best open-source models, that are often backed by serious scientific publications.
Our frame resource detection is based on Automatic detection and classification of honey bee comb cells using deep learning by Thiago S. Alves, M. Alice Pinto, Paulo Ventura, Cátia J. Neves, David G. Biron, Arnaldo C. Junior, Pedro L. De Paula Filho, Pedro J. Rodrigues,
Our gate counter model is based on work done by Fabian Hickert for his Master thesis