This is a Request for Information (RFI) issued by the U. S. Citizen and Immigration Services (USCIS) to gather market research on enterprise-level tools and techniques for document authentication and identity verification. The objective is to identify technologies that can support remote document authentication and identity verification for public interactions. USCIS is seeking a software-based, remote IT solution that can be run on major mobile phones and web browsers. The solution must be capable of authenticating U. S. and foreign identity documents, extracting structured data and high-quality images in real-time, and performing facial comparison with presentation attack defense. It should support multiple USCIS programs with program-specific configurations and API-based integrations. Support services must include system upgrades, service calls, and technical support. Cloud-based solutions must be FedRAMP authorized at a moderate level or equivalent. Responses are due by Tuesday, April 14, 2026, at 2:30 PM ET and should be submitted via email to ***@***. *. * responses should include a cover letter, question responses, and technical specifications. Proprietary information should be minimized.
The bid notice states that responses are due no later than Tuesday, April 14, 2026, at 2:30 PM ET. Responses are due no later than Tuesday, April 14, 2026 at 2:30 pm et.
The bid notice requests information detailing the company's capabilities and experience in delivering document authentication, facial comparison with presentation attack defense, and identity document data extraction. please answer the following questions, answering yes no questions only with yes or no responses. can your solution s be run from uscis controlled amazon web services aws cloud environments if only hosted externally, and are fedramp ready or authorized at a moderate level, do you have an anticipated timeline for getting fedramp approval does your solution allow for the remote photo capture of identity documents and selfies yes no in instances of limited wi fi or connectivity, does your solution allow for the offline capture of document and facial photos for later authentication and upload to uscis systems after connection is re established yes no in what format s do you provide document images, face crops and extracted data provide in list form how fast are results returned for each function document authentication, facial comparison what volume of transactions can be supported does your solution leverage artificial intelligence and or machine learning models if so, how are models trained using customer data how is training data sourced and governed are you currently offering agentic models 7. can you provide comprehensive technical documentation for the api based solution for integration into existing government systems is the solution flexible and configurable for different workflows and integrations yes no 8. what is the pricing structure information for your technology please provide general information, such as whether it is on a license, subscription, term, perpetual, or transaction basis, as well as specific dollar amount estimates. 9. can your solution extract images and data from a document presented yes no 10. what identity documents are covered by your document authentication tool please list any and all covered documents, both domestic and foreign. 11. how do you ensure your libraries or models are up to date and how regularly are they updated 12. how does your tool perform document authentication is it rules based, template based, or machine learning based is your solution 100 proprietary 13. can your tool authenticate via e chips e. g. for passports and barcodes e. g. for drivers licenses yes no 14. if available, provide rates for the metrics listed below. provide definitions and test conditions for each metric, including whether evaluations were independent third party testing or internal. please define your calculation methodology and any relevant test conditions or standards used national institute of standards and technology nist style definitions of applicable. system error failure to extract document false rejection document false acceptance field level accuracy character error field completeness 15. does your solution enable controlled capture of selfies and matching to the identity photo on the submitted document yes no 16. does your solution include advanced fraud detection capabilities, such as presentation attack detection pad, to identify and prevent spoofing attempts yes no 17. if available, provide rates for the metrics listed below related to face to face matching as well as document authentication. provide definitions and test conditions for each metric, including whether evaluations were independent i. e. third party testing or internal. failure to extract false non match false match bonafide presentation classification error attack presentation classification error 18. have you participated in any dhs s t testing would you be willing to participate in testing by providing apis and allowing the government to test capabilities
