A roadmap for bringing science to your data, and making it AI/ML ready.
Our Thoughts On The Industry
Here’s a 5 step approach for bringing high throughput to your R&D.
At some point, every biotech and pharma lab faces the same question when it comes to integrating data from their analytical instruments: should I buy software or build something in-house? Usually, this question comes up when a lab hits a certain critical mass of workflows, instruments, and staff. The amount
Because your flow cytometry analysis should be as colorful as your stained cells.
The global lab automation market is projected to reach $7.1 billion by 2028–but most lab automation today refers to robotic systems, storage and retrieval systems, workcells, and other equipment. Take liquid handling, a fundamental component of most automation systems. Motorized pipettes or syringes, attached to a robotic arm,
In biomanufacturing, digital twins are gaining prominence as state-of-the-art technology for digitally mirroring and analyzing physical processes. But, for our co-founders Nathan and Benson, having come from the trenches of fintech where they built ledger systems and machine learning models, this ontology is an inversion of the status quo in
Ganymede's story begins with our co-founders Benson and Nathan standing outside the offices of our now-partner Apprentice in a cold rain too late in the winter to be snow. They had been exploring and researching the idea of customizing business logic for mapping biological data for several months. With Apprentice—