Synthetic Sciences Releases OpenScience: An Open-Source, Model-Agnostic AI Workbench for Machine Learning, Biology, Physics, and Chemistry Research
Synthetic Sciences has released OpenScience, an open-source AI workbench for scientific research. It is licensed under Apache 2.0 and runs on your own infrastructure. The research team frames it as an open alternative to Anthropic’s Claude Science, launched in late June 2026. The pitch is direct. Scientific AI tooling should not be owned by one vendor. OpenScience keeps the workflow open, the models swappable, and the data local. It is an independent project, not affiliated with or end
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Synthetic Sciences has released OpenScience, an open-source AI workbench designed to help researchers in machine learning, biology, physics, and chemistry conduct experiments, analyze data, and write results. The tool is model-agnostic, meaning it can work with any AI model through a user's own API keys rather than requiring a specific vendor's service, and it runs on local infrastructure with data stored locally. OpenScience was positioned as an open alternative to a proprietary competing product launched around the same time, addressing concerns that scientific AI tools should not be controlled by a single vendor. The workbench includes over 250 editable skills and access to roughly 30 scientific databases, allowing researchers to read papers, form hypotheses, write code, run experiments, and generate reports within a single continuous session.
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