Patra, an outcome-focused operating partner serving the insurance industry, has been granted a US patent covering the technology behind its Policy Checking AI.
The United States Patent and Trademark Office issued US Patent No. 12,639,972, titled “Systems and Methods for Value Extraction and Guided Review,” on 26 May 2026. The patent covers the AI and human-in-the-loop methods that sit at the heart of Patra’s Policy Checking AI. Patra chief technology officer Tony Li and senior director of AI engineering Juan Cristian Martinez Vega are named as inventors, with Patra Corporation listed as the sole assignee.
The patented invention outlines an approach for automatically pulling values out of insurance documents and steering a reviewer straight to the relevant information. The system reads a document, charts the location of every word, finds the items a user has requested, determines the probable value linked to each one, and then prompts the user to verify the outcome. A feedback loop built around expert review means accuracy strengthens over time.
In operational terms, the AI handles the demanding work of locating and extracting details across long policy documents, while a Patra specialist retains authority over the final decision.
Notably, the patent carries a priority date of February 2022, meaning the methods it protects were developed before the wave of generative and agentic AI transformed the market.
Patra works exclusively with the insurance industry, combining an agentic platform, process intelligence and expert teams to deliver measurable results.
Patra CEO Pratap Sarker said, “We were building governed, expert-supervised AI with real review at the center of the process before that became the industry’s accepted position. That same conviction guides the agentic platform we’re building now: capable, inspectable, and governed by design, with a person able to step in at any time.”
Patra senior director of AI engineering Cristian Vega said, “This patent illustrates the foundation of the AI and human-in-the-loop mechanisms that are still at the core of what Policy Checking AI is today. More importantly, it supports the needs of our clients and the carriers and regulators who increasingly expect explainable, documented AI use with meaningful human oversight.”
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