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Meet the team using machine learning to help save the
world's bees

Led by founder Katharine Schmidt, is working
to find answers to the global colony collapse of bees.

Bees have been present in Katharina Schmidt’s family for as long as she can remember – and then some. “I asked my grandpa once: ‘How long have we had bees in the family?’ He said, ‘At least since 1894.’ That was the year his dad was born.” She can still vividly recall the bee hut next to her grandpa’s house – until one year, in the mid 1990s, when it was gone. All the bees had died. Katharina’s interest in bees reignited three years ago, after she read about global colony collapse. She started her own hive and began helping other beekeepers market their honey – but quickly realized the true scope of the problem. “The problem isn’t actually that there aren’t enough honeybees. The problem is that bees and other insects are dying around the world in large numbers and we don’t know why. And that was really unsatisfying to me.”

A year and a half ago, Katharina sat down with her roommates to try and figure out a way to help save the bees. Soon after, her company,, was born. To collect data, the team constructed a hive monitor using TensorFlow (Google’s open-source machine learning framework). Equipped with a camera that records footage 24/7, it tracks things like how many bees return to the hive every day, how they’re moving, and if they’re carrying pollen. The data is then shared with experts so they can make more informed decisions on things like where to plant trees and flowers.

“You don’t need to have every skill in order to make a difference. You need the determination to see the problem and want to change it, and you’ll find a way.”
Katharina and Frederic working on a hive monitor
A deconstructed hive monitor
Katharina and Frederic standing in front of a beehive, with footage from the camera on a computer
Bees flying into the hive, entering underneath the camera