Mandatory Declassification Review (MDR) Natural Language Processing (NLP) Tool
ID: AF241-D012Type: BOTH
Overview

Topic

Mandatory Declassification Review (MDR) Natural Language Processing (NLP) Tool

Agency

Department of DefenseN/A

Program

Type: SBIRPhase: BOTHYear: 2024
Timeline
  1. 1
    Release Nov 29, 2023 12:00 AM
  2. 2
    Open Jan 3, 2024 12:00 AM
  3. 3
    Next Submission Due Feb 21, 2024 12:00 AM
  4. 4
    Close Feb 21, 2024 12:00 AM
Description

The Department of Defense (DOD) is seeking proposals for a Small Business Innovation Research (SBIR) program with a focus on the topic of "Mandatory Declassification Review (MDR) Natural Language Processing (NLP) Tool". The objective of this program is to find a solution that can assist the Air Force Declassification Office (AFDO) in increasing efficiencies, achieving consistency in line-by-line review and redaction of classified information, and promoting cost savings through the use of new technologies and industry best practices. The selected company will need to achieve six milestones, including refining and enhancing AI/ML models, conducting testing and evaluation, optimizing the solution, developing a user-friendly interface, completing documentation for deployment, and ensuring compliance requirements are met. The program is divided into two phases, with Phase I being a Direct-to-Phase-II (D2P2) topic, and Phase II focusing on establishing a tool for AFDO's MDR program. The ultimate goal is to incorporate the solution into AFDO's daily business processes, including transitioning reviewers to the new process, workflow incorporation, rule development, training the tool, and full deployment to an approved host location. The program references various regulations and guidelines related to security classification and declassification. The application due date for this solicitation is February 21, 2024. For more information, visit the SBIR topic link or the solicitation agency URL.

Files
No associated files provided.
Similar Opportunities
DOD SBIR 24.4 Annual - A/I Enabled ARP, Select, and Monitor
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the topic "A/I Enabled ARP, Select, and Monitor" as part of its SBIR program. The objective of this solicitation is to develop and deliver an Artificial Intelligence (AI)-enabled system to modernize and automate the Army's acquisition process, starting with the development of an Acquisition Requirements Package (ARP). The proposed system aims to alleviate current problems in the Army acquisition community, such as inconsistent results, lengthy and inefficient ARP development, and limited tools available to the workforce. The technology will use AI/ML to assist program managers in building ARP, conducting source selection activities, and monitoring contracts post-award. The Phase I of this project is only accepting Direct to Phase II (DP2) proposals with a cost of up to $2,000,000 for a 24-month period of performance. The Phase II effort is expected to deliver a basic AI capability to guide ARP development, with potential for expansion to other types of acquisitions. The Phase III dual-use applications include the use of Contract Management Software (CMS) technologies in various sectors such as healthcare, manufacturing, retail, IT and telecom, transportation and logistics, government, and financial services. The deadline for proposal submission is March 31, 2025. For more information, visit the solicitation agency's website [here](https://www.defensesbirsttr.mil/SBIR-STTR/Opportunities/).
DOD SBIR 24.4 Annual - Chief Digital and Artificial Intelligence Office (CDAO) Data Mesh Reference Design (REFDES)
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the Chief Digital and Artificial Intelligence Office (CDAO) Data Mesh Reference Design (REFDES). The objective is to establish a set of software services that enable seamless interoperability of data across the Department of Defense (DoD) enterprise while retaining federated control, hosting, and ownership. The DoD aims to break the data out of stovepipes and create a data mesh that allows data users to discover, access, and consume DoD data products via self-service API. The data access must support attribute-based access control (ABAC) and operate in a zero-trust environment. The program consists of three phases, starting with the development of a formal REFDES in Phase I, followed by the creation of a Minimum Viable Product (MVP) in Phase II, and concluding with the delivery of a full production capability in Phase III. The REFDES must address key concepts such as VAULTIS compliance, services communication model and framework, data templating, dynamic attribution association, automated notification services, and cybersecurity and zero trust support. The resulting data mesh will support interoperability for applications in both battlefield and boardroom settings. The proposal submission deadline is March 31, 2025. For more information, visit the [solicitation link](https://www.sbir.gov/node/2602059).
DOD SBIR 24.4 Annual - Chief Digital and Artificial Intelligence Office (CDAO) Data Mesh Reference Design (REFDES)
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the Chief Digital and Artificial Intelligence Office (CDAO) Data Mesh Reference Design (REFDES). The objective is to make all data across the Department of Defense seamlessly interoperable while retaining federated control, hosting, and ownership. The DOD aims to establish a set of software services that allow data users to discover, access, and consume DoD data products via self-service API. The data access must support attribute-based access control (ABAC) and operate in a zero-trust environment. The program consists of three phases: Phase I involves creating a formal REFDES, Phase II focuses on building a Minimum Viable Product (MVP) version of the design, and Phase III involves delivering a full production capability. The REFDES must address key concepts such as VAULTIS compliance, services communication model and framework, data templating, dynamic attribution association, automated notification services, cybersecurity, and zero trust support. The resulting data mesh will support interoperability for applications in both battlefield and boardroom settings. The solicitation is open until March 31, 2025. For more information, visit the [SBIR topic link](https://www.sbir.gov/node/2602059) or the [solicitation agency website](https://www.defensesbirsttr.mil/SBIR-STTR/Opportunities/).
DOD SBIR 24.4 Annual - Robust Computer Vision for Better Object Detection with Limited Training Data
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the topic "Robust Computer Vision for Better Object Detection with Limited Training Data" as part of their SBIR 24.4 Annual solicitation. The goal of this topic is to experiment with innovative AI/ML approaches to object identification and imagery scene analysis. The increasing availability of digital imagery requires automated methods to process and analyze vast amounts of multi-modal data efficiently. One critical application is the identification of objects of interest (OoI) within imagery data or the scene generated by the imagery, which can provide valuable insights and facilitate decision-making processes in various fields such as military intelligence, environmental monitoring, transportation management, and security surveillance. The solicitation is open for Direct to Phase II (DP2) proposals with a cost of up to $2,000,000 for an 18-month period of performance. Proposers interested in submitting a DP2 proposal must provide documentation to substantiate that the scientific and technical merit and feasibility equivalent to a Phase I project has been met. The focus of this SBIR topic is robust AI/ML object detection techniques for computer vision that do not rely on extensive availability of labeled training data. The use of foundational knowledge and methods, such as handcrafted features, evolutionary algorithms, and newer techniques based on transformers, can be leveraged for this topic without requiring a feasibility study. During DP2, firms should develop and implement novel or hybrid AI/ML models for object detection that do not rely on extensive training data and train models in Project Linchpin's AI Unclassified Operations Environment using Linchpin data for DOD use cases. The Phase III dual-use applications include autonomy, retail, public safety, traffic management, enhanced security, and agriculture. Computer vision solutions in the private sector encompass a wide range of applications, and companies like Amazon, Google, and Microsoft offer cloud-based object detection and recognition services. The solicitation is open until March 31, 2025. For more information and to submit a proposal, visit the DOD SBIR website: [link](https://www.defensesbirsttr.mil/SBIR-STTR/Opportunities/).
DOD SBIR 24.4 Annual - xTechScalable AI
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the topic "xTechScalable AI" as part of the SBIR program. The Army branch is specifically interested in novel and disruptive concepts and technology solutions that can address the vulnerabilities of current machine learning pipelines and models. The goal is to develop comprehensive security models capable of defending against universal AI threat vectors. The Army is prioritizing proposals that focus on systematic testing and evaluation methods, trusted and secure validation and verification strategies, continuous monitoring capabilities, improved transparency and assurance of code and data, and improved telemetry capabilities. The Army will use the xTechScalable AI prize competition to identify small businesses that meet the criteria for award, and only winners of the competition will be eligible to submit a proposal under this topic. The project will have three phases: Phase I involves submitting a Direct to Phase II (DP2) proposal, Phase II involves producing prototype solutions for evaluation by soldiers, and Phase III involves completing the maturation of the technology and producing prototypes for further development and commercialization. The deadline for proposal submission is March 31, 2025. For more information and to submit a proposal, visit the solicitation agency's website at [solicitation_agency_url].