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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. High Voltage Package Encapsulants

    SBC: TEXAS RESEARCH INSTITUTE , AUSTIN, INC.            Topic: DMEA231003

    With significant strides being made on wide bandgap (WBG) semiconductor devices for high-power electronics, there is a concurrent need for packaging encapsulants with reliable long-term performance in a more rigorous operational environment. The WBG power devices are set to be fielded in electric vehicles, aircrafts, spacecrafts, and energy producing systems where working conditions can see temper ...

    SBIR Phase I 2023 Department of DefenseDefense Microelectronics Activity
  2. High efficiency vertical photoconductive semiconductor switches (PCSS)

    SBC: NANOHMICS INC            Topic: DMEA231005

    Vertical Photoconductive Semiconductor Switches can be designed to support numerous filaments that simultaneously conduct current. A two dimensional array of current channels can be lithographically patterned on the surface of a substrate to achieve significant power scaling. One of the challenged is coupling the optical trigger signal efficiently into the filament apertures. Nanohmics will desig ...

    SBIR Phase I 2023 Department of DefenseDefense Microelectronics Activity
  3. Component Optimization for Improved Refrigerant Recovery

    SBC: Optimized Thermal Systems, Inc.            Topic: 2E

    Refrigerants are known to have harmful impacts on the environment. It is essential that those that are particularly harmful with a high global warming potential (GWP) are recovered correctly for proper recycling or disposal. Unfortunately, all too often, refrigerant is not properly recovered either due to system failure, technician error, or unincentivized industry practice. With implementation of ...

    SBIR Phase I 2023 Environmental Protection Agency
  4. ALLVAR Alloys for Athermalizing SiC Telescopes with Reduced SWAP-C

    SBC: Thermal Expansion Solutions, Inc.            Topic: MDA21001

    The Ultimate Goal of these research efforts is to develop ALLVAR Alloy athermalizing strut components that enable size, weight, cost, lead time, and performance enhancements of SiC mirrored optical seekers that must withstand extreme exo-atmosphere, endo-atmosphere, and mechanical loading environments. ALLVAR Alloys offer a brand-new strong and ductile support structure solution that can offer low ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
  5. Artificial Intelligence-based Recommender for Model-Based Systems Engineering (ARMS)

    SBC: NEXCEPTA INC            Topic: MDA22T002

    There is a critical need for innovative recommendation technology for digital data engineering artifacts and tools. To address this need, we propose design and implement the Artificial Intelligence-based Recommender System for Model-Based Systems Engineering (ARMS) software as a user-personalized context-aware content recommender system solution for Model Based Systems Engineering (MBSE) applicati ...

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

    SBC: NEXCEPTA INC            Topic: MDA22T004

    Deep reinforcement learning (DRL) provides strong capabilities to make decisions under uncertain and complicated scenarios. However, there is a lack of explainability of DRL when applied to assist warfighters in training and operational scenarios. To address this critical need, we propose to develop Deep Reinforcement Learning Enabled Warfighter Assistant (DICE). The key innovation of DICE is util ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  7. Quantum-Computing-Aided Materials Research and Development

    SBC: TEXAS RESEARCH INSTITUTE , AUSTIN, INC.            Topic: MDA22T007

    Quantum computing has the potential to exponentially outperform classic computers for certain problems due to their use of qubits. The use of quantum computing could be particularly useful for the discovery of novel lightweight materials with high-temperature strength properties that far exceed traditional material systems. One exciting class of materials known as High Entropy Alloys (HEAs) are al ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  8. Extended Life Coatings for Electrochemical Machining Tools

    SBC: TECHNOLOGY ASSESSMENT AND TRANSFER, INC.            Topic: MDA22001

    Electrochemical Machining (ECM) is a non-traditional process finding extensive use in aerospace and automotive industries that uses a tool (cathode) in an electrolyte medium to produce highly smooth, complex surfaces via electrolytic dissolution of the metal part (anode) being machined. Although the cathode is not in contact with the part and ECM is touted as no wear, it is plagued by stray curren ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  9. Improved performance and efficiency of solid propellants through enhanced surface passivation of energetics

    SBC: LYNNTECH INC.            Topic: MDA22004

    The widespread use of high energy components, like boron, in solid composite fuels and propellants promises to provide needed increases in performance required by next generation missiles, rocket motors, or ramjet engines. As such these materials, particularly boron powder, have received significant attention as a combustible fuel for powering rockets and ramjets. To achieve the full benefit of hi ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  10. Hierarchical Artificial Intelligence-Based Algorithms for Target Identification & Tracking and Anomaly Detection in Congested Environments (HABIT)

    SBC: UNIVERSITY TECHNICAL SERVICES, INC.            Topic: MDA22006

    Discovering anomalies in land, sea, air, and space is a critical task for Situational Awareness activities. It is also an important enabler for maritime and airspace security operations. Artificial Intelligence and Machine Learning (AI/ML) algorithms can be applied to learn the regular behavior, track targets of interests, and identify anomalies in these domains. Specifically, unsupervised learnin ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
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