Mitek Analytics develops Industrial AI applcations for the Industrial Internet of Things (IIoT). Custom Machine Learning (ML) algorithms are used to build process or system models as Digital Twins. Maintaining Digital Twin models enables monitoring of enterprise operations. Addressing the detected anomalies and bottlenecks and optimizing the operations can bring enormous benefits in costs and asset availablity.
We offer analytics services and analytics software that can be integrated with existing enterprise data management systems. Our Industrial AI analytics implemented as Analytics Engine can be used on-line or for generating periodic reports. Our proven solutions include.
Maintenance Digital Twin provides insights into Maintenance and Repairs Operations (MRO) for high-value industrial assets starting from failures (reliability) through maintenance, repairs, and part flows (reverse logistics) to supply of spares (logistic demand).
Performance Digital Twin allows monitoring and predictive maintenence for fleets of heavy industrial assets, such as jet engines and aircraft.
Our Industrial AI Analytics was developed by professors from Stanford and Georgia Tech. Renowned experts, they have received multiple professional awards for work in practical applications of advanced analytics. The subject matter expertise areas of the team includes ML, AI, statistics, optimization, and controls as well as maintenance, logistics, reliability, and IIoT. The analytics is a result of many R&D projects completed over last 12 years. The team repeatedly won Air Force and NASA contracts with competition rates over 1:20.