Riffyn Nexus v4.2 upgrades its API to 2.0, a more RESTful API with the latest OpenAPI specification for better data integration.
Read how to make machine learning a reality for rapid process improvement, by exporting data into a usable format for analysis.
Data integrity in process development is critical to making the right decisions quickly. However, it is one of the major challenges facing science. Riffyn works closely with customers to solve this by making automatic data validation a reality in Riffyn Nexus.
Units...you can’t live with ‘em and you can’t live without ‘em. They are an essential part of science — you literally can’t do experiments without them — yet they are also a significant cause of frustration and headache. With the latest release (v4.0) of Riffyn Nexus, your unit woes are a thing of the past.
Communication breakdowns are a major contributing factor to slowed scientific progress. Imagine how much headache could be saved if everyone worked off of a standardized vocabulary for naming and contextualizing. Such a solution does exist. It’s called ontology.
In Riffyn Nexus v3.1, we are proud to release the first of our upgrades supporting HTS data. v3.1 can gracefully load tens of thousands of screening samples and data on each experimental step of each experiment in just seconds.
Given the nature of constantly evolving R&D processes, traditional LIMS systems are out of date the minute they are configured. Riffyn Nexus is designed to evolve as your process evolves. This blog explains how we do it and why many companies are saying “Good-bye LIMS. Hello Riffyn.”
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Novozymes delivers four break-through biofuels products to market in half the normal development time with transformative digital infrastructure.Get the case study