Cerebri Ai Inc.

Sathish Kumar Lakshmipathy

Alain Charles Briancon

Michael Henry Engeling

David Alexander Curry

Eyal Ben Zion

Sara Amini

Dmitrii Aleksandrovich Boldyrev

Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given duration of time in the future; and storing the trained predictive machine learning model in memory.

Predictive, machine-learning, event-series computer models with encoded representation

Predictive, machine-learning, time-series computer models suitable for sparse training sets

Growing community of inventors

Round Rock, TX, United States of America

Sathish Kumar Lakshmipathy