
Babylon AI is developing a platform for managing the post-deployment flow of data necessary for evaluating and retraining computer vision models. Their solution facilitates logging raw input and prediction data from edge devices, ensuring efficient data organization by model version, device, and timestamp. The platform supports both on-premises and edge device deployments, even in low-connectivity environments, and integrates seamlessly with AWS or local servers. Babylon AI differentiates itself by focusing on the right data for retraining, offering features like custom smart triggers, error tracking, and monitoring drift, making it a valuable tool for medium-sized computer vision teams.

Babylon AI is developing a platform for managing the post-deployment flow of data necessary for evaluating and retraining computer vision models. Their solution facilitates logging raw input and prediction data from edge devices, ensuring efficient data organization by model version, device, and timestamp. The platform supports both on-premises and edge device deployments, even in low-connectivity environments, and integrates seamlessly with AWS or local servers. Babylon AI differentiates itself by focusing on the right data for retraining, offering features like custom smart triggers, error tracking, and monitoring drift, making it a valuable tool for medium-sized computer vision teams.
Founded: 2023
Headquarters: Dover, Delaware, United States
Product focus: Post-deployment data management & retraining platform for computer vision
Employees (reported): 3
Funding: Pre-Seed (Apr 5, 2023); $800,000 reported
Founders: Rangel Milushev (CEO), Ahmad Roumie (CTO)
Post-deployment data collection, evaluation, and retraining workflows for computer vision models
2023
Computer vision / Analytics
Round reported with five investors
“Y Combinator-led pre-seed; multiple angel/early investors reported”