Our team met at Tesla. Everything started with a vision that systems and software applied to manufacturing could be done significantly better than its current state. Fundamentally, manufacturing represents a multivariate optimization problem. We know that the best way to solve these types of problems is by using sophisticated statistical methods. The added complexity with manufacturing is that there is a considerable equipment layer that needs to be adequate for proper data collection, as bad data is often worse than no data.

Following the body and brain model, we start with the body. We design, build, and commission revolutionary systems and functional blocks to change the paradigm in the way metrology and manufacturing data aggregation is done. We then connect the body (equipment) to the brain (software) by building a set of data pipelines which we refer to as the nervous system. This well-designed equipment layer combined with sophisticated software, unlocked an unprecedented level of automation and added value in terms of data quantity and quality, leading to some of the highest cost-saving initiatives in the company.

On top of this architecture, we begin adding statistical tools and methods to animate the decision-making process and improve the ability to anticipate events before they happen.