Conexus AI Assigned Patent

Conexus AI, Inc., San Francisco, CA, has been assigned a patent (11720535) developed by Daimler, Eric Alexander, Wisnesky, Ryan Jacob, San Francisco, CA, and Spivak, David Isaac, Somerville, MA, for “data migration and integration system.”

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”A data migration and integration system is disclosed. In various embodiments, the system includes a memory configured to store a mapping from a source schema to a target schema, and a processor coupled to the memory and configured to migrate to a target schema an instance of source data organized according to the source schema, including by using a chase engine to perform an ordered sequence of steps comprising adding a bounded layer of new elements to a current canonical chase state associated with migrating the source data to the target schema, adding coincidences associated with one or more of the target schema data integrity constraints and a mapping from the source schema to the target schema, and merging equal elements based on the coincidences, and repeat the preceding ordered sequence of steps iteratively until an end condition is met.”

The patent application was filed on 2022-01-10 (17/571939).