lamin.ai: Revolutionizing Biological Research with Open, Collaborative Data Management

lamin.ai is an open-source, API-first data platform designed specifically for biology, enabling seamless collaboration between dry and wet lab teams through a distributed hub. Built on a lakehouse architecture, it empowers researchers to trace data and code with a single function call, manage complex biological entities like genes, proteins, and experiments, and integrate with public ontologies for standardized, annotated data. With in-house standards and synonym mapping, lamin.ai ensures data consistency and quality, while zero-copy data transfer allows efficient creation and connection of distributed databases. It transforms research artifacts into a team's long-term memory by turning them into queryable datasets, predictive models, and actionable insights—ideal for accelerating scientific discovery and reproducibility.

Key Features:

• Open data platform for biology with an open-source framework
• Seamless collaboration between dry and wet lab teams via a distributed hub
• API-first access for scalable and automated workflows
• Data and code tracing with a simple function call
• Flexible querying across storage and databases using lakehouse architecture
• Native support for biological entities: genes, proteins, cell types, tissues, samples, experiments
• Integration with public ontologies for effortless data import
• Validation, standardization, and annotation with just two lines of code
• In-house standards and synonym mapping for intelligent data curation
• Zero-copy data transfer for efficient distributed database creation and connection
• Transformation of research artifacts into queryable datasets, predictive models, and analytical insights

Pricing: lamin.ai offers a Free tier with open-source access, making it ideal for researchers and teams looking to start without financial commitment. Additional advanced features and support are available through a paid subscription model.

Conclusion: lamin.ai is a powerful, open, and intelligent data platform that redefines how biological research teams store, share, and leverage data—fostering collaboration, reproducibility, and long-term scientific memory with ease.