SEC AIML (Artificial Intelligence and Machine Learning) Technical
ID: SECAIMLType: Sources Sought
Overview

Buyer

SECURITIES AND EXCHANGE COMMISSIONSECURITIES AND EXCHANGE COMMISSIONSECURITIES AND EXCHANGE COMMISSIONWASHINGTON, DC, 20549, USA

Set Aside

Total Small Business Set-Aside (FAR 19.5) (SBA)

Original Source

https://sam.gov/opp/408739fed2c940a18347374339482926/view
Timeline
    Description

    The U.S. Securities and Exchange Commission (SEC) is seeking qualified small disadvantaged businesses to provide technical Subject Matter Expert (SME) services in Artificial Intelligence and Machine Learning (AIML) to enhance its Office of Information Technology (OIT) AIML tech foundation, starting in April 2025. The objective is to mature, operate, maintain, and enhance the existing AIML infrastructure, implement governance services, and establish a risk management framework for AIML technologies, which includes key projects like the Comment Analysis and Review System (CARS) and Artificial Intelligence Disclosure Analytics (AIDA). This initiative is crucial for improving operational efficiency and decision-making through advanced analytics and model management, ensuring sustainable and responsible AIML practices in support of the SEC's regulatory mission. Interested parties must submit their responses to the RFI by November 12, 2024, to Temeka Thompson at thompsonte@sec.gov or Jorge Martell at martellj@sec.gov, with the subject line "RFI Response for AIML (Artificial Intelligence and Machine Learning) Technical."

    Point(s) of Contact
    Temeka Thompson
    (202) 551-4137
    thompsonte@sec.gov
    Jorge Martell
    (202) 551-6718
    martellj@sec.gov
    Files
    Title
    Posted
    AIML Tech SOW.pdf
    The U.S. Securities and Exchange Commission (SEC) seeks to procure technical Subject Matter Expert (SME) services in Artificial Intelligence and Machine Learning (AIML) to enhance its Office of Information Technology (OIT) AIML tech foundation. These services, starting in April 2025, aim to mature and maintain the existing AIML infrastructure, support the implementation of governance services, and establish risk management frameworks for AIML technologies. Key projects include the Comment Analysis and Review System (CARS) and Artificial Intelligence Disclosure Analytics (AIDA), both designed to improve operational efficiency and decision-making through advanced analytics and model management. The initiative includes maintaining and enhancing the existing tech foundation's AI capabilities, integrating new models, and providing governance and risk management consultancy. This procurement outlines responsibilities, estimated performance timelines, deliverables, and evaluation standards for successful contract execution, focusing on a collaborative approach with various SEC divisions. The SEC intends to facilitate sustainable and responsible AIML practices while leveraging cutting-edge technologies to support its regulatory mission.
    Lifecycle
    Title
    Type
    SEC AIML (Artificial Intelligence and Machine Learning) Technical
    Currently viewing
    Sources Sought
    Similar Opportunities
    Training and Education Command (TECOM) Statistical Analysis Support
    Active
    Dept Of Defense
    The Department of Defense, specifically the United States Marine Corps (USMC), is seeking proposals for statistical analysis support services under the Training and Education Command (TECOM). The primary objective of this procurement is to provide contractor support for the execution of various working groups and to leverage DoD and USMC data science technologies, including Artificial Intelligence (AI) and Machine Learning (ML), to enhance data analysis capabilities within the Marine Corps Enterprise Network (MCEN). This contract, which will be awarded as a single Firm Fixed Price contract, is set aside for Women-Owned Small Businesses (WOSB) and will cover a twelve-month base period with an option for an additional twelve months. Interested parties must register in the System for Award Management (SAM.gov) and are encouraged to monitor the site for the upcoming Request for Proposals (RFP), which will include all necessary details for submission. For further inquiries, potential offerors can contact Shaye Nelson at shaye.nelson@usmc.mil or Christa Eggleston-Scott at christa.eggleston-sc@usmc.mil.
    Sources Sought for AI Code Generation for the Energy Information Administration
    Active
    Energy, Department Of
    The U.S. Department of Energy's Energy Information Administration (EIA) is seeking information from potential contractors regarding AI capabilities for code assessment and generation. The EIA aims to develop an AI-enabled tool that can evaluate and generate developer code across multiple programming languages, including Python, R, SAS, HTML, Java, and PHP, while ensuring optimized performance, security, and compliance with FEDRAMP standards. This initiative is crucial for enhancing the EIA's operational framework and maintaining high standards of data confidentiality and usability. Interested parties must submit their responses by 5:00 PM Eastern Time on December 5, 2024, to Contracting Officers Katherine Bowen and Alexa Zamba via email, adhering strictly to the submission instructions outlined in the attached specification sheet.
    SMARTEC
    Active
    Dept Of Defense
    The Department of Defense, specifically the Department of the Air Force, is seeking information from qualified contractors for the SMARTEC initiative, aimed at providing program management, Research and Development (R&D), and specialized engineering services to support software development activities for the newly established Experimentation Division (AFSC/SWX). The procurement focuses on delivering software engineering services within a government DevSecOps environment, oversight of cybersecurity evaluations, and integration and testing services to enhance warfighter effectiveness through advanced technology integration and mission planning. Interested parties are required to submit their responses by November 22, 2024, with inquiries directed to primary contacts Carmen M Mertz and Evan Sharp via email. This Request for Information (RFI) does not constitute a solicitation and is intended for planning purposes only.
    D--RFI - ONRR IT Modernization Integrator Support
    Active
    Interior, Department Of The
    The Department of the Interior, specifically the Office of Natural Resources Revenue (ONRR), is seeking vendor support for its IT modernization initiative aimed at replacing the existing Minerals Revenue Management Support System (MRMSS) with a new, efficient solution. The primary objectives include enhancing operational efficiency, improving revenue collection processes, and integrating advanced technologies such as AI and RPA, while ensuring compliance with regulatory standards. This modernization effort is critical for ONRR as it manages nearly $10 billion in annual royalties and aims to streamline its business processes through the implementation of various functional modules, including Financial Management, Case Management, and Business Intelligence. Interested vendors are encouraged to respond to the Request for Information (RFI) by November 25, 2024, and can direct inquiries to Shanda Georg at SHANDAGEORG@IBC.DOI.GOV or by phone at 703-964-4855.
    DEVELOP EVALUATIONS AND BENCHMARKS FOR ASSESSING CHEMICAL AND BIOLOGICAL CAPABILITIES OF AI MODELS
    Active
    Commerce, Department Of
    The Department of Commerce, specifically the National Institute of Standards and Technology (NIST), is conducting market research to identify qualified contractors for developing evaluations and benchmarks to assess the chemical and biological capabilities of artificial intelligence (AI) models. The initiative aims to establish guidelines and best practices for the safe and secure development of AI systems, particularly those that could pose risks related to national security and public health. This effort is part of a broader mandate following Executive Order 14110, which emphasizes the need for rigorous testing and evaluation of AI technologies that may facilitate the misuse of chemical or biological agents. Interested parties must submit their responses, detailing their capabilities and relevant experience, to Carol A. Wood at carol.wood@nist.gov by November 13, 2024, at 3:30 PM Eastern Time.
    Security System Requirement for New Building (AI Scanning Platform)
    Active
    Dept Of Defense
    The Department of Defense, specifically the U.S. Army Corps of Engineers, is seeking proposals for a new security system designed to enhance workplace safety through an innovative AI scanning platform. The system must implement a layered security approach that integrates people, processes, and technology, with key functionalities including the detection of concealed weapons without invasive searches, AI-based threat detection, and the ability to facilitate free entry without personal checks. This procurement is crucial for modernizing security measures while ensuring efficient operations and rapid response capabilities. Interested parties should contact Anquonette Wilkins at anquonette.t.wilkins@usace.army.mil or 251-441-6531, or Erica Collins at erica.m.collins@usace.army.mil or 251-656-2152 for further details.
    PEO IEW&S, Project Linchpin, PEO STRI, & STE CFT - AI Modeling and Simulation (M&S) Capabilities - Request for Information (RFI)
    Active
    Dept Of Defense
    The Department of Defense, through the U.S. Army's Program Executive Office Intelligence, Electronic Warfare and Sensors (PEO IEW&S), is issuing a Request for Information (RFI) to gather insights on artificial intelligence (AI) modeling and simulation (M&S) capabilities. The objective is to explore AI technologies that can enhance the Army's M&S capabilities, particularly in areas such as data collection, model training, and security, to improve collective training and operational readiness. This initiative is crucial for modernizing training environments and ensuring effective military simulations, with a focus on collaboration between industry and government to develop reliable AI solutions. Interested parties are invited to submit their responses by November 8, 2024, and may direct inquiries to PEO IEW&S at usarmy.apg.peo-iews.mbx.linchpin@army.mil.
    DA01--Data and Analytics Integrated Modernization and Operations (DAIMO) - RFI (VA-24-00013843)
    Active
    Veterans Affairs, Department Of
    The Department of Veterans Affairs (VA) is seeking qualified small businesses to participate in the Data and Analytics Integrated Modernization and Operations (DAIMO) initiative, aimed at enhancing operational efficiency through data analytics solutions. This procurement effort will be solicited as a total Small Business set-aside under the General Services Administration (GSA) Multiple Award Schedule, specifically targeting Special Item Number 54151S. The initiative is part of the VA's strategic focus on modernizing operations and improving service delivery to veterans, with a significant emphasis on including Service-Disabled Veteran Owned Small Businesses (SDVOSB) and other small business concerns. Interested vendors should monitor the solicitation for updates regarding the release date and are encouraged to reach out to the primary contacts, Dan DiNocera and Sean Doyle, via email at daniel.dinocera@va.gov and sean.doyle@va.gov, respectively, for further inquiries.
    Ticketing Platform Customer Service Automated Learning tool (AI)
    Active
    General Services Administration
    The General Services Administration (GSA) is seeking sources for a Ticketing Platform Customer Service Automated Learning tool (AI) as part of a market research initiative. The tool must be customizable for integration with SAM.gov and CMS, comply with GSA IT security standards, and possess robust data analytics capabilities to enhance automated customer service. This procurement is crucial for improving the efficiency and effectiveness of customer service operations within the GSA. Interested firms are encouraged to submit their capabilities and company information to Chris A. Payton at chris.payton@gsa.gov by the specified deadline, with a tentative solicitation release planned for the fourth quarter of 2024.
    Request for Information Support for Analytic Capacity of NSECE Data 2025
    Active
    Health And Human Services, Department Of
    The Department of Health and Human Services, specifically the Administration for Children and Families (ACF), is seeking industry feedback through a Request for Information (RFI) to enhance the analytic capacity of the National Survey of Early Care and Education (NSECE) data for 2025. The primary objective is to support the use of data collected from various cohorts of the NSECE by creating restricted-use data files, developing user-friendly access processes, and conducting analyses that inform agency policies while ensuring participant privacy. This initiative is crucial for improving the landscape of child care and early education based on empirical research, ultimately aiding in policy implementation and decision-making processes. Interested parties must submit their responses by November 14, 2025, at 5:00 PM Eastern Time, and can direct inquiries to Terri Harvey or Timothy Wanamaker via the provided email addresses.