Machine Learning & AI RFPs

The requirement spans seven broad functional areas, including but not limited to: Data Architecture and Engineering; Analytics and Business Intelligence; Data Governance; AI Integration; Data and AI Literacy; Student Information System (SIS) Modernization Support; Program Management.

Invites qualified consulting firms to submit proposals to develop a comprehensive, enterprise-wide artificial intelligence (ai) strategic roadmap.

Validate overall application completeness and provide code compliance review. Identify required permit clearances from City departments that issue multi-family, residential, and commercial project clearances. Advise customers on the requirements and development review process based on project- specific needs. Provide staff-facing dashboards to track key performance indicators, including processing times and overall performance.

South Texas College is soliciting proposals for an "Artificial Intelligence Detection Platform" to help identify AI-generated content in student submissions and institutional documents. The contract is for a one-year term with two optional one-year renewals; the awarded vendor must provide software, implementation, training, and ongoing support and deliver detection features (confidence scores, highlighted text, multi-format support, analytics/reporting, and configurable controls). Proposals are due July 23, 2026 at 2:00 PM Central Time.

Provide artificial intelligence research and development whitepapers and proposals in support of new technologies and translational research-based approaches that support the identification, alignment, and exploitation of basic, applied, and advanced research and technology. See outside link.

To provide an artificial intelligence (AI) platform designed to support educators and administrators. The platform shall provide AI-powered tools to assist with lesson planning, instructional resource development, assessment creation, communication, differentiation, professional productivity, and other educational functions. The platform should include appropriate security and privacy protections, administrative management features, and professional learning resources for district staff.

This Invitation to Qualify (ITQ) seeks to establish a pre‑qualified Source List of suppliers that meet mandatory criteria to provide responsible and effective AI services, solutions, and products to the Government of Canada. Future solicitations for specific AI outcomes and needs will be competed among suppliers on that Source List, and the ITQ includes a revised supplier submission review schedule (moving to annual review after June 30, 2026). The solicitation is being managed by Public Services and Procurement Canada (PSPC) and is available to view/respond through SAP Business Network as noted on the CanadaBuys posting.

To develop the theory and algorithms for decentralized coordination and local inference control to enable a scalable, adaptive, and resilient collective of heterogeneous ai agents that can autonomously execute sustained long-time-horizon missions in contested environments while remaining under human control. In contrast to small-scale, rigid, and fragile centralized orchestration or the high-risk unpredictable nature of ad hoc compositions of ai agents, dice aims to harness the scalability and adaptability of self-organizing systems while minimizing risks and ensuring that the collective behavior remains predictable and aligned with intended outcomes. This approach mirrors the principles of decentralized self-organization that underpin the internet's own scalability and resilience, where robust global behavior emerges from simple, local rules.

The Connecticut Department of Energy and Environmental Protection (DEEP) is seeking information on technology and artificial intelligence (AI) solutions to modernize and improve its environmental permitting processes, including digitizing records, enhancing user experience for applicants and staff, improving stakeholder engagement, and automating administrative tasks.

This is a Request for Information (RFI) titled "CDC Artificial Intelligence for Acquisition Support Reverse Industry Day" issued by the Centers for Disease Control and Prevention to conduct market research on commercially available AI tools that could support the federal acquisition lifecycle. Selected vendors will give virtual demonstrations (about 30 minutes plus 15 minutes Q&A) and must submit capability statements to be considered; the event is market research only and not a grant or procurement. Submissions are due July 30, 2026, and the primary posting is on SAM.gov (no primary solicitation PDF was available on the aggregator page).

This New York State RFP solicits bids for the implementation of an AI-driven threat intelligence and vulnerability management system. The procurement is consistent with NYS Office of Information Technology Services (NYS ITS) cybersecurity initiatives in threat detection, intelligence analysis, and vulnerability management. Bids were initially due by July 20, 2026.

This is a Broad Agency Announcement (BAA) from the Army Artificial Intelligence Integration Center (AI2C) soliciting AI research and development whitepapers and proposals across basic, applied, and advanced research. The announcement states awards may be made as FAR-based procurement instruments or as non-FAR assistance agreements/other transaction authorities, and encourages a range of funding constructs including cost-sharing. The opportunity lists public PDF attachments with details and sets a formal response deadline and an inactive date.

This presolicitation (NIH) requests support for research using radiographic imaging and artificial intelligence/radiomics to predict hepatocellular carcinoma (HCC) risk and recurrence in patients with advanced liver disease or cirrhosis. A portion of funding awarded through the Bench‑to‑Bedside and Back Award Program (Award No. 1517448) will be used to acquire a clinical cohort, imaging datasets, and de‑identified radiology reports from the University of Pennsylvania to support model development. The opportunity is managed by the NIH contracting office in Bethesda, MD and lists a response date of July 23, 2026.

This SAM.gov posting is a Broad Agency Announcement (BAA) from the Army Artificial Intelligence Integration Center (AI2C) seeking artificial intelligence research and development whitepapers and proposals across multiple AI/ML, autonomous platforms, and synthetic environment topics. The announcement may lead to multiple types of award instruments (FAR-based contracts or assistance agreements) and lists Pittsburgh, PA as the primary place of performance. The latest response deadline is July 16, 2026.

This presolicitation (NIH) requests support for research using radiographic imaging and artificial intelligence/radiomics to predict hepatocellular carcinoma (HCC) risk and recurrence in patients with advanced liver disease or cirrhosis. A portion of funding awarded through the Bench‑to‑Bedside and Back Award Program (Award No. 1517448) will be used to acquire a clinical cohort, imaging datasets, and de‑identified radiology reports from the University of Pennsylvania to support model development. The opportunity is managed by the NIH contracting office in Bethesda, MD and lists a response date of July 23, 2026.

Steller sea lion artificial intelligence image processing and counting effort.

Provision of an artificial intelligence (ai) investigative and data analysis platform.

Provide Automatic/AI Mapping Software Solution. The solution will automatically map UGA's entire MD curriculum using Artificial Intelligence (AI)-driven methods that analyze curricular content, learning objectives, and assessment data to generate and maintain curriculum mappings.

The Export-Import Bank of the U.S. (EXIM) intends to procure a subscription to the EMIS Intelligence database to support due diligence and safeguard government funds. The requirement is for a commercial subscription delivering multiple usernames/passwords across a 12-month base period with four 12-month option years (access counts specified for base and each option). The solicitation is a Combined Synopsis/Solicitation (RFQ) using FAR Part 12 simplified commercial procedures, posted June 30, 2026, with offers due July 30, 2026 at 5:00 pm ET.

The Southern California Regional Rail Authority (SCRRA / Metrolink) is soliciting proposals (Invitation #LI326-27) for the procurement of a web-based, geo-location intelligence platform that will capture a more nuanced view of station catchment area populations, mobility patterns, and ridership-growth opportunities. The Authority seeks to move beyond static data sources such as census data, ticket sales, and infrequent surveys by leveraging anonymized mobile location data enriched with psychographic and behavioral data. Electronic responses must be submitted through the PlanetBids vendor portal by 2:00 PM PDT on August 10, 2026, with a virtual Pre-Proposal Conference scheduled for July 8, 2026.