World-class technology to enable world-class manufacturing
Connect, unify and label all of your factory data
Restructure data from multiple plant sources
Benchmark, monitor, and improve productivity
Drive operational improvements across your enterprise applications
AI Agents, real-time data platform, and 3D digital twins in a single solution for shop floor operators.
Delivering value to the entire organization.
Solving manufacturing’s biggest challenges.
AI and Machine Learning for manufacturing.
Scale: one common Data Foundation for all models — both operational and analytical
Flexibility: handling changing data environments
Operational agility: stream-processing technologies provide continuous, real-time understanding
Sight Machine creates a single data foundation for operations and analysis. Our streaming platform continuously transforms OT data into useful information in real time, so that you can make better, faster decisions—anytime, anywhere. With system-level visibility and dynamic insights into the most pressing production needs, companies can now deliver and scale optimal productivity, quality and sustainability solutions throughout the entire production process and value chain.
Sight Machine analyzes production by streaming plant floor data from all systems and sources in real time. Data is streamed into 4 Common Data Models. These models represent automated production in all industries.
Manufacturers are investing in Industry 4.0 infrastructure. Plants generate huge amounts of data, and while the data is often collected, companies are finding now that without a useful data foundation, they are wrestling with plant data instead of using it.
Useful data is the key to better productivity, sustainability, and breakthroughs in quality and efficiency.
The challenge arises because OT data is not ready to be analyzed. It comes from different sources, with different rhythms, and in different structures. Sight Machine transforms operational technology data from any plant into a powerful Data Foundation, and then applies rich analysis.