Work with small and big data
Our AI can optimize your processes with the data you have, whether from one machine or factories full of them.
Offline process recommendations or online control
Our AI can show you what to do to keep your processes optimized, or you can let the AI keep things running autonomously.
Data from files or straight from your machines
We know that your important process data can come from different sources, so our AI can connect to your machines or you can give the AI the data files it needs.
15% improvement on product outcome of a key process for Food and Beverage.
Autonomous Control of molecular biological productions for Biopharma.
In a 1-hour session, we discuss your problems, offer some initial ideas on solutions, and assess if our platform is a good fit for you. This is a free consultation without any obligation to purchase.
We work with you on a short-term Process Optimization pilot project to prove the value of our solution based on jointly established pilot success criteria.
This is a fixed-fee project, tied to your success criteria. Should we fail to meet or exceed your criteria, the pilot project is free, at no cost to you.
We are so sure of the improvement we can bring to your Process Optimization we guarantee a 10X return on your investment, based on jointly agreed value criteria.
Should we not provide any significant value to your process and organization, the solution is yours, at no cost to you.
Our Winning Solution to NeurIPS 2021 Control Challenge
Generalizable, scalable and data efficient AI algorithms to industrial controls.
QuarticGym: A Process Control Playground for RL Algorithms
The QuarticGym supplements several process control environments to the Openai Gym family, which quenches the pain of performing Deep Reinforcement Learning algorithms on them.
Optimizing Continuous Manufacturing Processes Beyond MPC
Machine Learning can learn from MPC and then surpass its performance to optimize economic objectives.
Bayesian Optimization for Process Optimization
Bayesian Optimization can be applied to Process Optimization either at Design of Experiment phase or on production, even with zero data.