We’re building predictive analytics to ensure big machines keep running. Our platform will underpin the Industrial Internet.
Artificial Intelligence, and machine learning more specifically, is driving new efficiencies in industry. Dramatic reductions in compute and data storage costs, coupled with an increasing number of sensors, open new applications for machine learning.
Unfortunately, equipment data is often managed in data silos, requires complex system integration to capture and store, and is rarely consistent outside of an operating environment.
Tagup addresses this problem: we’ve built a common data platform to manage equipment data across the world. With the data in a canonical format, sophisticated machine learning methods can be applied to predict equipment failure and reduce operating costs.
Tagup was founded in 2015 at MIT and is headquartered up the street in Somerville, Massachusetts.
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