Method of development
Imagine a world where you could write a script that orders optimal solutions around an initial positive release. You simply input the initial data and the next thing you notice is an email informing you that the 4 solutions you need are waiting for you. Using the associated data from the most accurate solutions, you refine and repeat the process . Three such iterations could be run every single day, or 15 in a week. With no work whatsoever spent on preparing the solutions or even figuring out which solutions would be ideal to try.
Even better, the Revo AI can target a specific pH or conductivity even for solutions that have never been made before. To train the AI to use chemicals it’s not yet familiar with, up to 40 different solutions with distinct chemical ratios and concentrations can be generated and analyzed by built-in sensors over a weekend. Come Monday, the AI now is familiar with the space and is capable of generating any solution you need that’s within its considerable dosing and capacity range.
And that’s how easy a potentially very painful process has become.
A data-driven world
In science one of the biggest challenges faced by laboratories is the integration of data from different sources.
Our Revos are connected systems. Introducing LabMinds cloud-connected software and the Revo machine learning capabilities offers further visibility into your connected systems, facilities, and processes. Revo will generate and manage the flow of data from the time a user places a request to its completion, enabling more strategic approach to laboratory management.