Bring digital life
to the physical world
Why has our digital universe grown rapidly, yet our physical world remains largely unconnected?
Massive, physical structures still determine the flow of resources, production, and energy across the world, yet these structures mostly stand unconnected and full of patch solutions
Many of these sites, facilities, and plants were built before the promises of AI & "Digital Twins" and struggle to unlock the potential of their data
Companies are oversold on grand visions and strategic roadmaps of Industry 4.0, and want to make tangible progress beyond PowerPoint
These stark realities face companies of all sectors & sizes, who are estimated to spend $7.8T in the next 5 years on digital
We are AI & data engineers who help our customers bring their physical settings to life
Ground-truth dataDigitizing physical settings like sites, plants or facilities starts with data sources that are rooted in reality, not design. We work with the most down-to-earth sources of brownfield data including equipment, sensors, process historians or even physical documentation.
Contextualize dataRaw data alone is rarely clean or useful. Our scraping and cleaning processes streamline data preparation; making primary sources both accessible and readible. Moreover, we create context for your analytics. We digitize the relationships of all assets within a physical site, to each other and to production.
Develop models & analyticsContextualized data serves as a foundation for the promises of tomorrow. Once data is cleaned and assets are related, we build, train, and deploy models at scale. These models are rooted in cases for immediate ROI and are used to support use cases like sensor health, equipment maintenance, production optimization and end-to-end production simulation.
Put models into actionPhysical environments change, and so should the models that are deployed to them. Our solutions are purposed to ensure your models are functioning accurately with quality inputs. When environments do change outside a reasonable range of outcomes, our models are retrained and redeployed.