Roboflow provides a framework for developers to upload images and videos, annotate data, assess dataset quality, and train custom or prebuilt computer vision models. Once training finishes, models can be deployed to the cloud, the edge, or the browser and monitored for edge cases and degradation over time. The platform is aimed at developers integrating computer vision into their products and offers tools across the full ML lifecycle. Founded in 2019 by Brad Dwyer and Nelson and based in Des Moines, the company emphasizes making computer vision a foundational developer technology. Roboflow announced a recent funding round to support ongoing product development and hiring to accelerate its roadmap. Roboflow began as tooling to manage large image datasets and has expanded into an end-to-end solution covering image management, analysis, pre-processing, augmentation, model training, and deployment. The product grew out of the founders' prior work on AR and AI apps and launched its first public version in January 2020. The company has attracted roughly 20,000 developers using the service across use cases from cancer research to smart-city projects. Roboflow is a graduate of Y Combinator’s summer class and is led by co-founders Joseph Nelson (CEO) and Brad Dwyer (CTO). The team is currently small (about five members) and plans to grow headcount on both engineering and go-to-market functions. Roboflow intends to use new funding to accelerate hiring and product development to better serve individual developers and enterprise teams.

Total raised

$22M

Funding rounds

2

Latest round

Series A

Latest activity

Sep 2021