Laboratory Startup Costs: Incubator vs Cloud Lab

The reproducibility crisis in science stems from unclear methods sections rather than unethical practices, impacting research efficiency. Cloud labs offer solutions by using precise code for reproducible experiments, fostering better outcomes.

When faced with the challenge of needing diverse, high-cost instruments like LCMS (Liquid Chromatography-Mass Spectrometry), Pragma chose Emerald Cloud Lab (ECL) as a primary platform for two main reasons. First, Pragma has always been a cloud-first company and the team is very familiar with cloud engineering, DevOps, and pipeline development for bioinformatics, big data, and AI. ECL extends these same principles into laboratory work and so the paradigm is well aligned with Pragma’s technical skill set. Second, Pragma’s team already contains great scientists with expertise in analytical chemistry, and the intention was specifically to externalize experimental execution but to keep experimental design in-house. As such, they were looking for a solution that offered more “bare metal” access to instruments without an intermediary design service. 

Do you ever wish you clone your best scientist? Now, you can do something better with code-based protocols.

The convergence of highly automated cloud labs and AI represents a new frontier in modern research and will dramatically accelerate scientific innovation by advancing the efforts of human researchers and helping them maximize the potential of their research.

How third party interpretation of your methods lies at the heart of the many hidden costs associated with outsourcing work to CROs.

There are many hidden assumptions in the design and operation…