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Becker Transactions markets OfferDay AI patent portfolio for compliant AI hiring

Aug. 10, 2026
By AI, Created 09:00 UTC, Aug 10, 2026, AGP -

Becker Transactions is offering OfferDay AI’s granted U.S. patent and two continuation applications for acquisition or licensing as employers face rising legal scrutiny over AI-driven hiring. The portfolio centers on a patented system for screening, interviewing, scoring and selecting candidates with large language models.

Why it matters: - The portfolio targets a fast-growing but highly exposed market: AI tools used to screen and interview job candidates. - Employers are under increasing pressure to document how AI hiring systems make decisions, manage bias and stand up to legal review. - Ownership of foundational patent claims could shape who controls compliant AI hiring infrastructure as regulation tightens.

What happened: - Becker Transactions announced it is representing OfferDay AI Inc.’s patent portfolio exclusively for acquisition or licensing. - The package includes granted U.S. Patent No. 12,591,855 B1 and two continuation applications. - The patent was granted March 31, 2026. - The announcement was made Aug. 10, 2026, in Los Angeles.

The details: - The issued patent covers an end-to-end AI hiring methodology for screening, interviewing, scoring and selecting candidates. - The system includes three large language model subsystems working together. - A resume analysis LLM scores candidates on hard qualifications and soft criteria. - An interview generation and analysis LLM creates candidate interviews and scores responses in real time against job-listing criteria. - An ApplicantIQ Score generator runs in a segregated virtual machine. - The score generator combines resume and interview scores with a weighted algorithm trained on historical candidate performance data. - The system produces a single composite fitness score for each candidate. - The platform integrates with existing applicant tracking systems through an API. - Employer users can set scoring thresholds, review candidate fitness across dimensions and automate downstream hiring actions through an administrative dashboard. - The issued patent includes 20 claims across system and method categories. - The patent family includes seven drawing sheets. - The two continuation applications expand the family with bias mitigation and regulatory compliance claims. - The portfolio is unencumbered, fully assignable and carries about 19 years of remaining patent term.

Between the lines: - OfferDay AI is positioning the portfolio as infrastructure for compliant AI hiring, not just a narrow software feature set. - Robert Ashjian, founder and CEO of OfferDay AI, said the system was built to make hiring faster, smarter, auditable, transparent and defensible. - Ashjian also said the patent family covers the core AI hiring methodology plus the bias mitigation and audit trail infrastructure companies will need. - Dean Becker, chairman of Becker Transactions, said the AI hiring market is at an inflection point similar to cybersecurity IP a decade ago. - The timing suggests sellers expect legal and regulatory pressure to increase the value of patents tied to documented hiring workflows.

What’s next: - Becker Transactions is seeking buyers or licensees for the portfolio. - The patent family may appeal to hiring platforms, HR software companies and enterprise AI vendors looking to defend their compliance position. - The continuation applications could broaden the asset’s value if the claims are allowed and align with future rules.

The bottom line: - OfferDay AI’s patent family packages core AI hiring workflows with compliance and bias-mitigation claims, making it a strategic asset as regulators and employers demand more defensible automated hiring systems.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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