Fraud Identification, Unsupervised AI, and Preventing Impersonations
| Location: | Virginia |
|---|---|
| Posted: | Apr 8, 2026 |
| Due: | May 4, 2026 |
| Agency: | COMMERCE, DEPARTMENT OF |
| Type of Government: | Federal |
| Category: |
|
| Solicitation No: | 135-0034 |
| Publication URL: | To access bid details, please log in. |
APEX Accelerators are an official government contracting resource for small businesses. Find your local APEX Accelerator (opens in new window) for free government expertise related to contract opportunities.
APEX Accelerators are funded in part through a cooperative agreement with the Department of Defense.
The APEX Accelerators program was formerly known as the Procurement Technical Assistance Program (opens in new window) (PTAP).
- Contract Opportunity Type: Sources Sought (Updated)
- Updated Published Date: Apr 08, 2026 02:20 pm EDT
- Original Published Date: Apr 08, 2026 11:42 am EDT
- Updated Response Date: May 04, 2026 12:00 pm EDT
- Original Response Date: May 04, 2026 12:00 pm EDT
- Inactive Policy: Manual
- Updated Inactive Date: Sep 30, 2026
- Original Inactive Date: Sep 30, 2026
-
Initiative:
- None
- Original Set Aside:
- Product Service Code: R499 - SUPPORT- PROFESSIONAL: OTHER
-
NAICS Code:
- 513210 - Software Publishers
-
Place of Performance:
VA 22314USA
The purpose of this Request For Information/Sources Sought Notice is to conduct Market Research for the USPTO's "Fraud Identification, Unsupervised AI, and Preventing Impersonations" requirement. The details of this Request For Information, including response dates and requirements, are provided in the attached PDF document.
- OFFICE OF PROCUREMENT 600 DULANY ST,PO BOX 1450, MAIL ST6
- ALEXANDRIA , VA 22314
- USA
- Alan Elder
- alan.elder@uspto.gov
- Phone Number 7038353005
- Bradley Beers, Contracting Officer
- bradley.beers@uspto.gov
- Phone Number 5713192654
- Apr 08, 2026 02:20 pm EDTSources Sought (Updated)
- Apr 08, 2026 11:42 am EDT Sources Sought (Original)
Related Document
| Apr 29, 2026 | [Sources Sought (Updated)] Fraud Identification, Unsupervised AI, and Preventing Impersonations |
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