People will always be central to the scientific process. This is why Artificial accounts for people at every step - whether that’s scheduling manual tasks with a job or augmenting manual steps with digital tools.

We want scientists to focus on their next breakthrough, not wrangling automation. With Artificial’s intuitive UX, the complexities of automation are simplified so anyone can take a job from request to result.

Rapid innovation requires a strong data backbone. Artificial’s Lab Ontology standardizes the meta-data of every asset in the lab so it is easier to build next-gen tools that leverage AR/XR, NLP protocol translation, and more.

A siloed lab is a restricted lab. To enable labs to quickly adapt and easily scale their automation, Artificial takes an API-first approach and develops fully extensible adaptors that connect with your lab’s hardware or software.