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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. Extremely High Temperature EO/IR Aperture Materials Maturation and Manufacturing Development for High Speed Systems

    SBC: RELOGIC RESEARCH, INC.            Topic: AF221D005

    The DoD is looking for high temperature IR aperture materials to operate on high speed missile platforms including hypersonic vehicles. Current boost-glide vehicles require forward looking sensors in mounted flush on a doubly curved surface and placed in a forward-looking location on a high L/D body. Temperatures may reach or exceed 1800°C for limited portions over the course of flight. Aperture ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
  2. Heterogeneous computing system with dynamic fault tolerance to radiation hardened commercial microelectronics (Hetero-Hard)

    SBC: CFD RESEARCH CORPORATION            Topic: MDA21022

    In this work, we propose a heterogeneous computing system which can seamlessly integrate with the COTS part and provide design hardening against radiation without modifying the inherent design of the COTS part. In Phase I, we worked on the base design of proposed heterogeneous computing system using a digital COTS part as circuit under test (CUT). A machine learning based intelligent mathematical ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
  3. A Modular Framework for Optimization of Pursuit Evasion Strategies for Hypersonic Intercept

    SBC: CFD RESEARCH CORPORATION            Topic: MDA21017

    The overall goal of this SBIR project is to develop a framework for creating simulation-based differential games for evaluation and optimization of pursuit and evasion strategies for hypersonic missile defense. In Phase I, the key software modules within the tool were developed, and proof-of-concept was demonstrated via case studies considering differential games of interest. Phase II efforts will ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
  4. Recommendation Technology for Digital Engineering Artifacts

    SBC: NOU SYSTEMS INC            Topic: MDA22T002

    Utilizing our current applications and data models supporting the MDS digital test planning and anlaysis ecosystem (currently deployed to MDA's EWS system), the nSI team will develop methods for artifact recommendations for system engineering data to aid MDS personnel in finding data relevant to their tasks. The team will extend our current data model (currently supporting the digital M&S) and tag ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  5. Deep Reinforcement Learning (DRL) Enabled Warfighter Assistant

    SBC: NOU SYSTEMS INC            Topic: MDA22T004

    State spaces are enormous, the operation is real time, the outcomes are uncertain, the consequences of suboptimal actions are dire. The BMDS is a carefully crafted system with many moving parts. As with all complicated systems, there are many tradeoffs to make when operating them. In a world with finite resources, decisions on how to allocate interceptors during a raid could be the difference betw ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  6. Innovative Automated Data Analysis for Emerging MDS Capabilities

    SBC: NOU SYSTEMS INC            Topic: MDA21006

    nou Systems, Inc. (nSI) proposes an extension of our current aSSIST toolset to provide an interconnected platform for automated data analysis views and tools, automated dashboards, clustering techniques for organizing complex data, and novel ways of viewing data links of all kinds throughout the MDS. Utilizing automated data parsing, processing, storing, and data views will streamline MDS testing ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
  7. Innovative Digital Data Engineering Techniques

    SBC: NOU SYSTEMS INC            Topic: MDA21010

    nSI proposes to streamline the engineering lifecycle by developing the data fabric for the engineering ecosystem, easily communicating between applications, linking disparate data sets, and tagging/tracing MDS data from intel through system requirement and system testing and analysis. By providing this automated traceability, the platform will enable MDA analysts and leadership to effectively trav ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
  8. State-Vector Density Functional Method for Kill Assessment

    SBC: FREENT TECHNOLOGIES, INC.            Topic: MDA16001

    During previous Phase II and Phase II Enhancement contracts, FreEnt built upon earlier Phase I mathematical concepts for the State Vector Density Functional (SVDF) approach. Under These efforts the SVDF approach was developed into a rigorous mathematical formalism for performing Post Intercept Assessment (PIA). During the Phase II Enhancement the SVDF mathematical formalism was matured and the tec ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
  9. Quantum Material Design

    SBC: QUOHERENT, INC.            Topic: MDA22T007

    Computational Materials Design offers a potential alternative to trial-and-error experimentation in the quest for improved materials. Under this paradigm materials design is driven by input requirements – the desired properties of the material – and result in the output of one or more potential material formulations that can provide the desired properties. The use of relationships between mate ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  10. Innovative Uses of Artificial Intelligence and Machine Learning in Scenario Planning and Design

    SBC: PENTA RESEARCH INC            Topic: MDA21007

    Penta Research proposes to leverage its SME knowledge and successful experience in analysis, software development, and scenario design to develop an Artificial Intelligence and Machine Learning capability that provides automated scenario designs at a significantly accelerated pace. Penta's prototype will automate the complex decision-making steps involved with designing scenarios and provide a hig ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
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