US 12143424

US Patent 12143424 (US12143424B1), titled "Rapid predictive analysis of very large data sets using the distributed computational graph," was invented by Jason Crabtree and Andrew Sellers. The application was filed on July 21, 2024, and the patent was issued on November 12, 2024.

The current assignee of record is QOMPLX LLC. The patent's assignment history indicates reassignments from Qomplx Inc to Fractal Industries, Inc., QOMPLX, INC., QPX LLC, and subsequently to QOMPLX LLC.

Abstract:
The patent describes a system designed for the predictive analysis of very large data sets utilizing a distributed computational graph. This system incorporates data receipt software for receiving streaming data from various sources. It includes a batch data pathway where data formalization software prepares input data for storage, and a batch event analysis server that examines stored data for trends, situations, or knowledge. Aggregated data is then relayed to message handler software. A system sanity software module monitors status information from the message handler to optimize system performance. Concurrently, a streaming pathway features transformation pipeline software that processes the data stream, provides results back to the system, and receives directives for modification from the system sanity and retrain software.

Independent Claims Overview:
The numbered claims for US12143424 are not available in the provided patent text, therefore a plain-language overview of the independent claims cannot be provided.

Litigation Status:
As of April 26, 2026, an Inter Partes Review (IPR) case, IPR2026-00363, has been filed against US Patent 12143424. The case was filed on May 15, 2026, by Palo Alto Networks Inc. against the patent owner, Qomplx LLC, and is currently pending before the Patent Trial and Appeal Board (PTAB).