RFI Attachment 1 - RFI Response Template.xlsx
XLSX spreadsheet 28 KB Posted
- Attached to
- AI Driven Image Search Tool
- Solicitation number
- ACQ-27-0033
About this file
This file is an RFI Response Template for the USPTO's AI Driven Image Search Tool solicitation (ACQ-27-0033), a Pre-Solicitation opportunity issued by the Department of Commerce Patent and Trademark Office.
The template requires respondents to provide corporate profile information including company name, address, Unique Entity Number, current and anticipated business size status under NAICS 541519 ($34M threshold), and primary point of contact details. Vendors must address three primary technical questions: (1) FedRAMP authorization status or sponsored "In Process" status for their SaaS solution, along with continuous monitoring processes, Third-Party Assessment Organization (3PAO) experience, Plan of Action and Milestones (POA&M) management, and Security Impact Analysis (SIA) capabilities; (2) technical capability and experience customizing UI/UX workflows for specific user groups, including integration with Okta (OpenID Connect) and implementation of automated export/redaction builders to strip confidential material from reports; and (3) technical approach to ingesting, normalizing, and maintaining Global Design, Utility, and Plant patent data from 80+ international authorities on a weekly basis, with AI architecture capable of processing complex multi-image queries, delivering similarity rankings and CPC/Locarno classification suggestions while meeting a strict sub-6.0 second search execution Service Level Agreement (SLA). Vendors may propose support for any portion of the three patent types if comprehensive support is not feasible.
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Other files
| File | Type | Posted |
|---|---|---|
| RFI Attachment 3 - Consolidated Question and Answer Sheet 10JUN2026.pdf | ||
| PTAG RFI AI Driven Image Search Tool 20MAY2026.pdf | ||
| RFI Attachment 3 - Question and Answer Sheet.xlsx | XLSX spreadsheet | |
| PWS-Att-1-Deliverables-List Draft.xlsx | XLSX spreadsheet | |
| RFI Attachment 2 - AI Driven Image Search Tool PWS Draft.docx | DOCX document | |
| QASP-Att-1-PRS Draft.xlsx | XLSX spreadsheet |
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Text version
Corporate Profile
| Corporate Profile |
| Company Name & Address (Please identify Joint Venture or Mentor-Protégé, if applicable) |
| Unique Entity Number |
| Current Business Size Status Under NAICS 541519 ($34M) |
("Small" or "Other than Small")
| Anticipated Business Size Status on 7/01/2025 ("Small" or "Other than Small") |
| Company Point of Contact (Name, Email, Phone Number) |
| Name of solution |
| OEM or Authorized Reseller |
List of Questions
| Question No. | Question |
| 1 | The PWS mandates that the proposed SaaS solution must be FedRAMP-authorized (or officially agency-sponsored and pending final FedRAMP authorization) and capable of obtaining and maintaining a full USPTO Authorization to Operate (ATO). Is your solution currently FedRAMP authorized or in a sponsored “In Process” status? If authorized or pending authorization, describe your established processes for continuous monitoring, including your experience working with a Third-Party Assessment Organization (3PAO), managing a Plan of Action and Milestones (POA&M), and conducting Security Impact Analyses (SIA) for system updates. If your solution is pending authorization, please also provide your current FedRAMP milestone status, the name of your sponsoring agency, and your estimated timeline for achieving full authorization. |
| 2 | The USPTO requires a SaaS solution that acts as a highly configurable augmentation to our existing enterprise systems, rather than a rigid, out-of-the-box product. Can you detail your technical capability and past experience in customizing UI/UX workflows for specific user groups? Specifically, address your approach to integrating with Okta (OpenID Connect) and implementing the required automated export/redaction builder that strips confidential uploaded material from generated reports. |
| 3 | Describe your technical approach to ingesting, normalizing, and maintaining Global Design, Utility and Plant patent data from 80+ international authorities on a weekly basis. Specifically, how does your AI architecture process complex, multi-image queries (including features like auto-lasso) to deliver accurate similarity rankings and CPC/Locarno classification suggestions while consistently meeting the strict sub-6.0 second search execution SLA? Note: If a solution cannot comprehensively support all three patent types—Design, Utility, and Plant—vendors may propose any portion(s) of the above patent types. |
Response to Q 1
| Question No. | Question | |
| 1 | The PWS mandates that the proposed SaaS solution must be FedRAMP-authorized (or officially agency-sponsored and pending final FedRAMP authorization) and capable of obtaining and maintaining a full USPTO Authorization to Operate (ATO). Is your solution currently FedRAMP authorized or in a sponsored “In Process” status? If authorized or pending authorization, describe your established processes for continuous monitoring, including your experience working with a Third-Party Assessment Organization (3PAO), managing a Plan of Action and Milestones (POA&M), and conducting Security Impact Analyses (SIA) for system updates. If your solution is pending authorization, please also provide your current FedRAMP milestone status, the name of your sponsoring agency, and your estimated timeline for achieving full authorization. | |
| Response | 0 |
Response to Q 2
| Question No. | Question |
| 2 | The USPTO requires a SaaS solution that acts as a highly configurable augmentation to our existing enterprise systems, rather than a rigid, out-of-the-box product. Can you detail your technical capability and past experience in customizing UI/UX workflows for specific user groups? Specifically, address your approach to integrating with Okta (OpenID Connect) and implementing the required automated export/redaction builder that strips confidential uploaded material from generated reports. |
| Response |
Response to Q 3
| Question No. | Question |
| 3 | Describe your technical approach to ingesting, normalizing, and maintaining Global Design, Utility and Plant patent data from 80+ international authorities on a weekly basis. Specifically, how does your AI architecture process complex, multi-image queries (including features like auto-lasso) to deliver accurate similarity rankings and CPC/Locarno classification suggestions while consistently meeting the strict sub-6.0 second search execution SLA? Note: If a solution cannot comprehensively support all three patent types—Design, Utility, and Plant—vendors may propose any portion(s) of the above patent types. |
| Response |
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