Synthetic Sciences Releases OpenScience: An Open-Source, Model-Agnostic AI Workbench for Machine Learning, Biology, Physics, and Chemistry Research
250+ pre-built skills. That's what Synthetic Sciences just shipped with OpenScience—a model-agnostic workbench that lets researchers run full ML-to-biology loops on their own infrastructure.
Why it matters
OpenScience democratizes AI-powered scientific research by decoupling from any single model provider, letting research teams run multi-domain workflows (ML, biology, physics, chemistry) on their own compute and choice of frontier or open-weight models. This is a developer-facing product drop that expands the tooling ecosystem for AI in hard sciences.
The key facts
7 to knowApache-2.0 open-source license
Model-agnostic (works with frontier or open-weight models)
250+ editable pre-built skills
Queryable scientific databases included
Runs on user's own infrastructure
Covers ML, biology, physics, and chemistry domains
Uses user's own API keys (no vendor lock-in)
Go to the source
MarkTechPostmarktechpost.com
Publisher excerpt: Synthetic Sciences has released OpenScience, an Apache-2.0 AI workbench for scientific research. It works with any frontier or open-weight model, using your own API keys. It runs the full loop across machine learning, biology, physics, and chemistry. It ships 250+ editable skills and queryable…