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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.

  1. Next Generation Satellite Communications

    SBC: Blue Cubed, LLC            Topic: AF19BT001

    Small Satellites are a rapidly growing technology and of great interest to both commercial and DOD customers. With the increased access to space and the maturation of small satellites, the mission capabilities have expanded significantly. Along with these expanded capabilities are a need for new approaches to satellite communications with increased capabilities. Blue Cubed is working on developing ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: KAIROS RESEARCH LLC            Topic: AF19BT001

    Assess the feasibility of a novel technology which automatically generates human-understandable explanations of an artificial intelligence (AI) algorithm’s decisions – for example, a deep neural network’s (DNN’s) classification decisions. Our technology, called EMERALD (Explainable Machine Reasoning through the Application of Linked Data), is designed to improve trust a ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Ubihere Air Force Focus Area Identified- Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: UBIHERE, INC.            Topic: AF19BT001

    UbiHere, a Columbus Ohio based small business, has developed, in conjunction with The Ohio State University, a unique highly capable low-cost system to address the known issues with GPS denied tracking of assets, equipment or people in indoor and outdoor operating environments. UbiHere’s commercial system is comprised of an application specific electronics tag, designed by the company, whic ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Fiber-Coupled Hyperspectral Thermal LWIR Imaging Sensor Suite for Combustion System Diagnostics

    SBC: SPECTRAL ENERGIES LLC            Topic: AF17AT016

    The objective of the proposed Phase-II effort by Spectral Energies LLC is to design and develop a fiber-coupled hyperspectral thermal LWIR imaging sensor suite to provide reliable, accurate 2D surface temperature measurements with high flexibility in practical gas turbine engines and propulsion systems. During the phase-II efforts, our team will work with fiber manufacture on custom designing of a ...

    STTR Phase II 2019 Department of DefenseAir Force
  5. Shear Stabilization Based Framework for the Failure Testing and Analysis of HSCs

    SBC: Roccor, LLC            Topic: AF17AT019

    Over the past 2 years, Roccor has successfully qualified and delivered High Strain Composite (HSC) products for space-flight customers including, 1) RF-Furlable boom, 2) a furlable-antenna system; and is currently qualifying HSC products for space-flight customers including 3) an FCC certified deorbit device, and 4) a solar array deployment system. Three of these missions will be launched in 2018. ...

    STTR Phase II 2019 Department of DefenseAir Force
  6. Fast Response Heat Flux Sensors and Efficient Data Reduction Methodology for Hypersonic Wind Tunnels

    SBC: Ahmic Aerospace LLC            Topic: AF17AT001

    Accurate knowledge of heat flux is critical in assessing the design, performance, and survivability of hypersonic flight vehicles. Despite decades of research and testing, much is still unknown regarding hypersonic instabilities and transition mechanisms that define the state of the boundary layer. While the existence of these features is known, the ability to accurately measure them remains a cha ...

    STTR Phase II 2019 Department of DefenseAir Force
  7. Mission and Information Assurance through Cyber Atomics

    SBC: SECURBORATION, INC.            Topic: AF17BT004

    Cyber Risk Assessments for Threatened Environments (CRATE) is a system that produces actionable, mission-level alerts when anomalous behaviors indicative of cyber-attack are discovered within deployed mission-critical cyber-systems. CRATE is particularly relevant to deployment scenarios involving third-party infrastructure, such as deployment to a Platform as a Service (PaaS) provider or other clo ...

    STTR Phase II 2019 Department of DefenseAir Force
  8. Resilient Directional Mesh Enhanced Tactical Airborne Networks

    SBC: FIRST RF CORPORATION            Topic: AF17BT003

    FIRST RF will lead the Phase II effort and will leverage the system architecture of the MAINLINE system and integrate multifunctional SiGe integrated circuits (ICs) developed by The University of California San Diego under the supervision of Prof. Gabriel Rebeiz. The SiGe devices developed during the Phase II effort will significantly reduce the power requirements of the MAINLINE system allowing f ...

    STTR Phase II 2019 Department of DefenseAir Force
  9. Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF17CT02

    Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The presence of adversaries in addition to real-time and hidden information constraints greatly complicates the decision-making process in controlling both ground-based and space-based Air Force surveillance assets. The focus ...

    STTR Phase II 2019 Department of DefenseAir Force
  10. Rapid Discovery of Evasive Satellite Behaviors

    SBC: DATA FUSION & NEURAL NETWORKS, LLC            Topic: AF17CT02

    The problem addressed in this effort is to automatically learn historical ephemeris space catalog time, position, and velocity entity track update error uncertainties (i.e., without track error covariances) and to automatically (e.g., without expert event labeling) produce: – unmodeled non-gravitational space catalog update flags – abnormal unmodeled catalog update flags with abnorma ...

    STTR Phase II 2019 Department of DefenseAir Force
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