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Award Data

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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.

Displaying 41 - 50 of 6046 results
  1. Mil-Spec Improvements on ATAK-enabled Wireless Network Hardware for AFSOC 724 GSU Needs

    SBC: OWL Integrations, Inc.            Topic: X224OCSO1

    United States Air Force S&T identifies five strategic capabilities: 1) Global Persistent Awareness,  2) Resilient Information Sharing, 3) Rapid, Effective Decision-Making, 4) Complexity, Unpredictability, and Mass, and 5) Speed and Reach of Disruption and Lethality. Project OWL’s X22.4 SBIR Phase 1 proposal herein describes research and development that specifically responds to USAF S&T strateg ...

    SBIR Phase I 2023 Department of DefenseAir Force
  2. Development of Radiative Cooling Coatings for high-performance computing systems

    SBC: MAXWELL LABS INC            Topic: X224OCSO1

    Founded in 2019, Maxwell Labs has combined materials science with state-of-the-art machine learning technology to deploy an entirely new class of intelligent cooling solutions. The company product portfolio includes Radiative Cooling Coatings, Radiative Heatsinks, and Thermal Compounds. Current product applications are focused on effective and sustainable cooling technologies in the computing and ...

    SBIR Phase I 2023 Department of DefenseAir Force
  3. Machine Learning of Thermal Spray Manufacturing “big data” for SMART Component Specifications

    SBC: RELIACOAT TECHNOLOGIES, LLC            Topic: X224OCSO1

    A majority of aerospace components, particularly aircraft engines, have coatings applied to them to both enhance functionalities and enable sustainment (multiple overhaul and repair cycles).  Coatings provide a platform to sustainment and as such is the key step during overhaul operations at DoD depots.  Thermal spray is a key process for both OEM and repair/overhaul sustainment operation.   T ...

    SBIR Phase I 2023 Department of DefenseAir Force
  4. POST-QUANTUM CRYPTOGRAPHIC INVENTORY ANALYSIS AND PERFORMANCE BENCHMARKING FOR THE DEPARTMENT OF THE AIR FORCE

    SBC: SB TECHNOLOGY FEDERAL INC            Topic: X224OCSO1

    Quantum computers (QC) in the hands of adversarial nation states could devastate the U.S. and its national security systems if post-quantum cryptography (PQC) that resists code-cracking is not implemented in time since PQC deployment across national security systems is expected to take up to 20 years to complete. Meanwhile, adversaries are gathering encrypted data that they intend to exploit once ...

    SBIR Phase I 2023 Department of DefenseAir Force
  5. Anticipating Strategic Influence Campaigns

    SBC: Octant Data, LLC            Topic: X224OCSO1

    Contagion Monitor™ (CM) is a patented mathematical approach that predicts the virality of strategic influence campaigns. The CM identifies objects propagating through Graphika’s social media network maps and can thereby enhance overall situational awareness of public social media data, enable more efficient decision-making, and foster earlier (potential) intervention by the Air Force. Graphi ...

    SBIR Phase I 2023 Department of DefenseAir Force
  6. Next-generation AI-powered search using Hebbia

    SBC: HEBBIA, INC.            Topic: X224OCSO1

    Hebbia is the world’s most advanced AI for extracting insight from unstructured data, allowing users to surface content and insights 10X faster and 57% more accurately than traditional search tools. Hebbia interacts with users via natural language and a simple user interface- answering questions vs requiring complex queries. Hebbia’s ML enables massive scale - delivering results in millisecond ...

    SBIR Phase I 2023 Department of DefenseAir Force
  7. A biosecurity platform for the identification of natural and engineered biological threats

    SBC: ACLID, INC.            Topic: X224OCSO1

    Aclid is adapting its commercial platform for Air Force needs. End-users will receive early warnings when human error risks the creation of a novel or existing biothreat. At the same time, end-users will be alerted if nefarious actors attempt to generate a man-made biothreat anywhere in the world. Aclid is a proprietary software platform that ensures security and safety for synthetic biology work, ...

    SBIR Phase I 2023 Department of DefenseAir Force
  8. Machine Learning Deployment Platform for Air Operations Center Mission Systems

    SBC: WALLAROO LABS INC            Topic: X224OCSO1

    Wallaroo will solve an Air Force need by streamlining ML model production for Air Operations Center mission systems (AOCs).  AOC mission systems require next-gen AI/ML capabilities to modernize the ingestion of vast quantities of data, address a broad range of threats, and reduce decision-making and system reaction time. The ability to produce near real-time predictions while handling high th ...

    SBIR Phase I 2023 Department of DefenseAir Force
  9. Byte-Taint Resonance Imaging (ByteRI)

    SBC: ASSURED INFORMATION SECURITY, INC.            Topic: AF20CTCSO1

    Assured Information Security, Inc. (AIS), in collaboration with Colorado State University (CSU) and the National Renewable Energy Laboratory (NREL), proposes a second (or sequential) Phase II of the Byte-Taint Resonance Imaging (ByteRI) STTR effort. This iteration of the ByteRI program will expand upon the binary analysis and program behavior analysis concepts identified in the original effort and ...

    STTR Phase II 2023 Department of DefenseDefense Advanced Research Projects Agency
  10. HIDEHO: HIerarchical DistributEd Heterogenous Optimization

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: AF21BT001

    Large-scale military and civilian planning problems are (1) distributed – decision-making is spread across multiple organizations, including organizations that must employ information that they are unable or unwilling to share; (2) heterogeneous – the domains of optimization and local criteria for optimality differ – and (3) hierarchical – higher levels of authority solve abstract versions ...

    STTR Phase II 2023 Department of DefenseAir Force
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