C3.ai, Inc.

C3 Iot, Inc.

Houman Behzadi

Thomas M Siebel

Edward Y Abbo

John L Coker

Thomas Michael Rothwein

David Tchankotadze

Scott Kurinskas

Henrik Ohlsson

Nikhil Krishnan

Kuenley Chiu

Avid Boustani

Louis Poirier

Zico Kolter

Jeremy Zico Kolter

Thomas Rothwein

Systems, methods, and devices for a cyberphysical (IoT) software application development platform based upon a model driven architecture and derivative IoT SaaS applications are disclosed herein. The system may include concentrators to receive and forward time-series data from sensors or smart devices. The system may include message decoders to receive messages comprising the time-series data and storing the messages on message queues. The system may include a persistence component to store the time-series data in a key-value store and store the relational data in a relational database. The system may include a data services component to implement a type layer over data stores. The system may also include a processing component to access and process data in the data stores via the type layer, the processing component comprising a batch processing component and an iterative processing component.

Systems and methods for data processing and enterprise AI applications

Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to select a set of signals relating toa plurality of energy usage conditions. Signal values for the set of signals can be determined. Machine learning can be applied to the signal values to identify energy usage conditions associated with non-technical loss.

Systems and methods for utilizing machine learning to identify non-technical loss

Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to select a set of signals relating to a plurality of energy usage conditions. Signal values for the set of signals can be determined. Machine learning can be applied to the signal values to identify energy usage conditions associated with non-technical loss.

Processing of data relating to energy usage. First data relating to energy usage is loaded for analysis by an energy management platform. Second data relating to energy usage is stream processed by the energy management platform. Third data relating to energy usage is batch parallel processed by the energy management platform. Additional computing resources, owned by a third party separate from an entity that owns the computer system that supports the energy management platform, are provisioned based on increasing computing demand. Existing computing resources owned by the third party are released based on decreasing computing demand.

Systems and methods for processing different data types

Systems and methods for processing data relating to energy usage

Systems, methods, and devices for an enterprise AI and internet-of-things platform

Systems, methods, and devices for an enterprise internet-of-things application development platform

Growing community of inventors

San Francisco, CA, United States of America

Houman Behzadi