Sinkove

Sinkove is a platform that generates synthetic medical imaging datasets using generative AI, primarily diffusion models. Users can configure datasets around specific medical conditions and imaging parameters, and the platform generates up to 1,000 synthetic images per dataset for use in AI model training, clinical research, and hypothesis validation. The goal is to reduce dependence on real patient data, which is often limited, expensive to collect, or subject to privacy restrictions, while also helping reduce bias in the resulting datasets. The company also runs a marketplace where data providers can share synthetic datasets and data users can browse, filter, and download them, extending the platform beyond a single closed tool. Sinkove is aimed at researchers, AI and machine learning developers, and clinical teams working on medical imaging and drug discovery. The company has worked with Pfizer on research applying AI-based image profiling to drug discovery, pointing to real-world use in pharmaceutical research rather than only academic settings. Access is available through a web application, a REST API, and a Python SDK for programmatic dataset management, making it usable both by non-technical researchers and by engineering teams building automated pipelines. Sinkove was founded in London in 2024. Pricing details are not published on the site or in its documentation.