Case Study: Beewise accelerates CV workflows and cuts model iteration time with DagsHub

Accelerating CV workflows by 73% with data management and versioning tools

Beewise, a company focused on protecting bee populations using AI and robotics, faced significant data management challenges as they scaled. They were using Airtable to manage their complex computer vision data and experiments, which led to a lack of version control, frequent annotation errors, and debugging times that could take weeks. This chaotic workflow was a major bottleneck for their AI development cycle.

By implementing DagsHub's data management and versioning tools, Beewise gained structure and control over their workflows. DagsHub provided automatic versioning, streamlined active learning loops, and instant rollback capabilities. This solution enabled Beewise to accelerate model iteration time by 73%, reducing it from 2-3 weeks to just 3-5 days, cut debugging time down to a few hours, and decrease annotation mistakes by approximately 30%.

Beewise

Boaz

AI Lead