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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. Active Material Technology to Improve Solar Sail Performance for Space Weather Monitoring

    SBC: NEXOLVE HOLDING CO LLC            Topic: 96

    Development of a reflection control and direction device (RCDD) is proposed. This innovative device will progress the state of the art for propulsion of solar sails used to fly space weather monitoring sensors to sub-LaGrange point orbits for earlier warning times of impending destructive space weather events. A reflection control device (RCD) utilizes polymer dispersed liquid crystal (PDLC) mater ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Developing the Drought Risk Overview Product (DROP): Improving Flash Drought Forecasts and Early Warning Using Machine Learning and Extreme Value Theory Techniques

    SBC: CFD RESEARCH CORPORATION            Topic: 91

    Drought is responsible for $327.7B in economic loss since 1980 in the United States and typically precedes, cooccurs, or initiates other hazards like wildfires or prolonged periods of intense heat. The compounding or cascading of these hazards routinely threatens the wellbeing and stability of communities. The economic impact from drought can be especially harsh when the drought begins rapidly in ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  3. 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
  4. 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
  5. 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
  6. High-Resolution Modeling of Plume Exhaust Shock-Boundary Layer Interactions

    SBC: QUADRUS ADVANCED MANUFACTURING LLC            Topic: MDA22T005

    A thruster jet emerging laterally from a missile surface into a hypersonic external crossflow produces a complex environment which poses a significant effect on the vehicle control. A good understanding of the phenomenon can be achieved only with highly accurate physics computations. Our innovation offers to greatly enhance prediction qualities in a high-performance framework. This effort will be ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  7. Increasing Water Use Efficiency by Addressing Sensor Cost Barriers Using Novel Technology

    SBC: TRANSCEND ENGINEERING AND TECHNOLOGY, LLC            Topic: 96

    The project objective is to greatly reduce the cost of monitoring soil water content in highly-resolved vertical profile to promote increased adoption of more efficient water management tools. Cost is the most significant barrier to adoption of sophisticated data-driven irrigation management in permanent agriculture. Highly-resolved vertical soil water profiles are needed to learn soil-specific hy ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  8. Integrated Development Environment Artificial Learning (IDEAL)

    SBC: Noetic Strategies, Inc.            Topic: MDA21002

    Complex software written by multiple developers and sometimes by multiple contributing companies, leads to difficulty ensuring all code complies with desired standards. Noetic believes that to improve the resilience of mission-critical software, complex automated quality checks must become continuous, and they must empower the developer to write compliant code earlier in the process. Doing so requ ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  9. Innovative Automated Support of Data Analysis for Emerging Missile Defense System (MDS) Capabilities

    SBC: NOU SYSTEMS INC            Topic: MDA21006

    nou Systems, Inc. (nSI) proposes an extension of our data insight and analysis tool, Sherlock, to address the big data analysis challenges facing the DoD. Sherlock, in tandem with aSSIST and a new tool for tracking the pipeline of the system on a micro and macro level, will provide this interconnected platform with data analysis tools, automated dashboards, clustering techniques for organizing com ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  10. Innovative Uses of Artificial Intelligence and Machine Learning in Scenario Planning and Design

    SBC: NOU SYSTEMS INC            Topic: MDA21007

    nou Systems, Inc proposes the development platform that will streamline scenario planning by closing the feedback loop between requirements, scenario planning, and analysis. The platform will examine the results of digital simulations to identify critical factors at each part of the kill chain. In addition, it will examine the test space as it relates to requirements and ensure that the requiremen ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
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