Monitor bees with AI

See through the hive to change lives

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How does it work?

Apiary overview

It's difficult to observe and record all colony information using pen and paper while in the field. Digitalizing and modeling hives can help us remember where to take action and why

Frame resources

Take a photo of honeycombs to get detection of cells and ratio of resources. Balancing nectar and pollen between colonies can prevent starvation

beehive frame with detected cell types

Varroa mites

Detect and count varroa mites infesting your bees without the need of killing bees with alcohol washing test

Queenspotting

Finding a queen in a bustling metropolis to determine if the colony has a future can be quite challenging. We can surprise you and find two

Queen cups

Get automatic queen cup detection to be aware of potential swarming

AI beekeeper

Given all of the hive context, get a one-button advice from a large language model on the next steps

beehive frame with detected cell types

Frame notes

Use ipad pencil or mouse to draw on top of the frame to highlight important regions

Environment

Gather context of plants and weather around your apiary. Use satellite maps to know better pollinateable areas.

Plantnet integration Tallinn Tallinn

Entrance video monitoring (beta)

Stream entrance video to get detected bees coming in and out depending on time

Why Gratheon

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

Billing plan Community Base Professional
Price Free 15.00 € / month
2 weeks trial
5.00 € per beehive / month +
10.00 € per user / month
Features Frame resources
Bee detection
Queen spotting
Frame notes
Varroa mite detection
Entrance video monitoring
Limitations 1 user max
5 beehives max
10 frames / hive max
10 images / day max
1 year data retention
1 month image retention
low-priority detections
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

Acknowledgements

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 bee detection uses YoLoV5 model trained on dataset by Matt Nudi

Our gate counter model is based on work done by Fabian Hickert for his Master thesis