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, operations research, 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 US Air Force and NASA contracts with competition rates exceeding 20 to one.
We offer advanced analytics software and services that can be integrated with existing enterprise data management systems. Our Industrial AI applications implemented as AI/ML Analytics Engines can be used on-line or for generating periodic reports. Our proven applications include the following.
- Reliability Analytics Engine, a packaged AI/ML software application of Reliability Digital Twin (RDT) to perform reliability analysis of failures, removal, and maintenance records for industrial asset fleet.
- Logistics Analytics Engine, a packaged AI/ML application of Reverse Logistics Digital Twin (RLDT) to monitor flows of reparable parts and reverse logistics flows across the part supply and maintenance process chains, and to predcit part availability problems.
- Business Case Analysis (BCA) based on the trained RDT and RLDT models. BCA specifies preferred course of action by comparing predicted outcomes, recommends decisions, and provides supporting information.