Request for Information (RFI) 20262801 — Transcript Evaluation (Domestic and International) Evaluation & Credential Review Platform

Acquire a comprehensive, technology-driven platform that supports the secure, accurate, and efficient processing of both international and domestic academic records. The technology must enable translate, authenticate, and validate all types of educational credentials and related documents, including those used for undergraduate, graduate, and international admissions. It receives approximately 17,000 international applications each year, processed by admission services staff and campus admissions teams using multiple systems and manual steps. Applicants experience lengthy decision times (12 16weeks vs. A target of 6 8 weeks).

The Department of Veterans Affairs (VA), National CMOP Office (36C770) issued a Sources Sought / RFI to identify domestic pharmaceutical manufacturers able to support Consolidated Mail Outpatient Pharmacy (CMOP) open-market requirements. The notice lists numerous pharmaceutical items and asks manufacturers to submit capability information (including FDA-approved NDCs, manufacturing locations, capacities, and socio-economic status). This RFI is for market research/procurement planning only (not a solicitation or grant); responses are due 2026-03-16 09:00 CDT.

The City University of New York (CUNY) issued an RFI to gather information on market capabilities for a scalable, secure, and accessible student engagement, communications, and case-management platform to support the admissions lifecycle across its campuses. The RFI requests input on features including admissions/applicant engagement, front-door inquiries, case intake and routing, communications channels, workflow automation, and analytics while integrating with existing CRMs like Slate and PeopleSoft/CUNYFirst. Responses are due Feb 19, 2026 at 4:00 PM EST and the opportunity is open on the NYS Contract Reporter (NYSCR) for vendors to respond with information.

Seeks concepts that provide both enterprise-level standardization and the flexibility to accommodate mission-specific validation requirements, while minimizing duplicative or conflicting proesses. DIA believes that effective AI TEVV must address a spectrum of system types supporting analysis, collection, operations, targeting, and business management, amongst others. Each category may require tailored TEVV approaches while maintaining consistency with overarching standards and enterprise governance. Furthermore, AIEC supporting DIA may span from development/training environments through operational deployment across multiple security domains (NIPRNET, SIPRNET, JWICS, etc..) and classification levels. Solutions must account for testing and validation requirements across this continuum, including appropriate isolation, data management, and security onsiderations for each domain. Lastly, DIA is particularly interested in TEVV capabilities that incorporate automation to enable continuous testing and evaluation throughout the AIEC’s lifecycle, from development through deployment and operational monitoring. See attached file.