Discover what Datature is, a no-code platform for building and deploying computer vision applications across industries.

Datature is an all-in-one platform for building computer vision applications. It covers the full workflow: dataset management, image and video labeling, model training with customizable algorithms, automated hyperparameter tuning, and deployment. Teams can collaborate on projects and track versions, and most of the workflow requires little to no code.
Users praise Datature for its speed, smooth workflow, and intuitive interface, which works well for both small teams and large companies. It supports collaboration, dataset handling, training, and deployment across platforms, making it possible to build and deploy computer vision solutions without deep coding expertise.
Datature also supports academia and research by offering product credits. Its plans include features such as annotation automation, a recommender for the model training workflow, and access to a technical support channel. Users report that it cuts time to market, streamlines processes, and improves productivity across the model-building lifecycle. It is used worldwide, with reviews from AI engineers and CEOs highlighting its effectiveness for scaling AI efforts, quick feedback on model performance, and its user-friendly interface.
Datature was co-founded by David Nguyen, PhD, who is also the CEO of BrainScanology. He has been instrumental in developing the platform, particularly its ability to segment complex shapes in medical images with high accuracy and speed. The company focuses on AI and computer vision solutions for model training, dataset management, and application deployment across industries.
Datature supports a range of applications across industries:
Datature is aimed at teams and businesses in agriculture, manufacturing, retail and e-commerce, smart cities, pharmaceuticals, and healthcare — as well as academia and researchers, who can access product credits. It suits both small teams and large enterprises looking to build computer vision models without extensive coding expertise.
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