Machine Learning & AI RFPs

Provide artificial intelligence (AI) instructional platform. The scope of this RFP includes an AI instructional platform operating within a closed, District-controlled environment, with the following parameters: Student use limited to secondary students only; Teacher and staff use support for instructional purposes; Number of users and licenses to be determined; KCPS may conduct a pilot implementation prior to expansion; Continued use is contingent upon demonstrated instructional value and policy alignment.

Provide artificial intelligence (AI) governance & policy compliance dashboard.

The University of Wyoming is soliciting proposals for a campus-wide enterprise AI platform to provide unified access to multiple leading AI models for faculty, staff, and students. The project includes software licensing, implementation, integration, training, and ongoing support while ensuring data privacy and security. Proposals must be submitted electronically through the BidNet Direct platform by the specified deadline.

A Missouri-based government authority is seeking an AI governance and policy compliance dashboard solution to provide centralized visibility, usage monitoring, and automated policy enforcement. The project requires vendors to provide offsite services and restricts eligibility to onshore U.S. organizations only. Proposals must be submitted digitally via email or online by the deadline of June 5, 2026.

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

The County of Riverside is soliciting proposals for an AI-powered scheduling solution to modernize and automate appointment scheduling and rescheduling for its Department of Public Social Services (DPSS), covering Adult Services and Children and Family Services. The solution must provide proactive scheduling, automated reminders, text-based communications, zip code-based routing, and geo-tracking to improve travel efficiency and worker safety. The procurement aims to reduce missed visits, improve client engagement, and lower administrative workload for social services staff.

Provide a cloud-based learning management system (lms) designed to replace the existing platform, the solution will be software as a service (saas) with high availability, security, and regulatory compliance.

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.

Provide ai-driven efficiency solutions capable of analyzing current student transportation operations and delivering data-driven recommendations to improve operational performance, reduce costs, and enhance service reliability; proposed solution must complement and integrate with the division's existing routing and transportation management system. Wjcc is not seeking to replace its current routing platform, avl system, fleet maintenance system, or parent communication tools. The primary objectives of this initiative include: a. Reducing inefficiencies related to fleet utilization, mileage, and labor b. Improving multi-tier routing and asset utilization. See attached file.

Seeks to incrementally implement AI/ML models that provide computer-assisted analysis of NII images and other data to increase the effectiveness and efficiency of NII operations. The AI/ML goals and objectives include: Incrementally implement AI/ML models that provide computer-assisted analysis of NII images and other data to increase the effectiveness and efficiency of NII operations, with an emphasis on very high daily volumes of LS‑NII scans of POVs and cargo vehicles. CBP is not seeking proposals whose primary deliverable is a proprietary data platform, data pipeline, or case management system. CBP anticipates using existing and planned CBP-owned data platforms, pipelines, and viewers, and seeks algorithmic components that can be integrated into that environment. Determine if AI/ML models can provide automated identification of anomalies, identification of conveyance modifications, manifest validation, contraband and narcotic identification, identification/verification of commodities or some combination of these capabilities through a series of algorithms applied to LS NII imagery and metadata. Use AI/ML models to assist officer image analysis on higher-risk shipments, identify higher-risk areas of interest, and support a cost-effective, efficient operation. See attached file.

The City of Southlake seeks a secure, scalable cloud-based Artificial Intelligence platform to support multiple city departments, beginning with a pilot focused on document and content generation. The vendor must provide implementation, training, and integration with existing systems like Microsoft 365 while meeting strict data governance and security requirements. The contract is for an initial 12-month period with an estimated value range between $75,000 and $350,000.

U.S. Customs and Border Protection (CBP) issued an RFI seeking AI/ML algorithmic components for image adjudication in Non-Intrusive Inspection systems to support anomaly detection, manifest/commodity verification, conveyance modification detection, and contraband identification. The RFI requests modular, cloud-capable algorithmic solutions that comply with WCO UFF standards, can handle incomplete metadata, and are intended for market research and planning purposes only. Questions are due May 15, 2026, and written responses are due May 30, 2026, by 12:00 PM EDT.

Provide artificial intelligence (AI) data center development.

Seeks to support research and evaluation that advances the use of artificial intelligence (ai) in the criminal justice system. The goal of this nofo is to enhance lawful decision-making and help improve its accuracy and effectiveness through ai applications supporting crime prevention, public safety, and criminal justice systems. Research should explore both the benefits and limitations of ai, addressing potential risks and downstream impacts. Nij expects to fund studies that explore use cases in policing, corrections, courts, or other criminal justice adjacent areas to examine the suitability of using ai to solve operational problems, as well as evaluate the impacts and outcomes when integrated into criminal justice practice.

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.

The County of Henrico, Virginia is soliciting proposals for a Master Agreement to provide artificial intelligence technologies and intelligent automation solutions to modernize internal operations and public-facing services across participating public agencies. Scope areas include automation of forms and documents, public website/resident services such as chatbots and multilingual search, and employee services including secure data analysis and LLM access. The contract period is expected to commence in August 2026 with an estimated program value of up to $100 million at maturity.

The Vermont Agency of Human Services is seeking proposals for Artificial Intelligence (AI) transcription and scribe technology as part of the Rural Health Transformation Program. This initiative aims to leverage AI tools to assist healthcare providers in rural areas with documentation and administrative tasks. Interested vendors must submit their proposals by the June 2026 deadline to be considered for this technology implementation project.

Steller sea lion artificial intelligence image processing and counting effort.

Provide guidance for procurement of safe and secure artificial intelligence (AI) to improve government efficiency and mission effectiveness and to ensure AI models procured produce reliable outputs free from bias.

Cybersecurity of novel technology implementations in operating and new/advanced reactors - artificial intelligence and machine learning.