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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. 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
  2. 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
  3. HASLOC: Hierarchical And-Or Structures for Localization and Object Recognition

    SBC: Intelligent Automation, Inc.            Topic: AF18AT014

    Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...

    STTR Phase II 2019 Department of DefenseAir Force
  4. Nublu: Assured Information Sharing in Clouds

    SBC: MODUS OPERANDI, INC.            Topic: AF11BT30

    ABSTRACT: We propose to develop an assured information sharing framework for cloud-based systems that leverages our ongoing work in the areas of policy-based usage management and semantic interoperability. The development of this framework will involve the creation of a novel approach to information sharing that treats security as a commodity that can be dynamically provisioned within the cloud, ...

    STTR Phase II 2013 Department of DefenseAir Force
  5. Highly-Scalable Computational-Based Engineering Algorithms for Emerging Parallel Machine Architectures

    SBC: RNET TECHNOLOGIES INC            Topic: AF10BT13

    ABSTRACT: RNET and The Ohio State University propose to use algorithmic modifications and multi-level parallelization techniques and tools to improve the scalability of the aero-line/aero-elastic coupled CFD/CSD codes relevant to the DoD/AF (e.g., CREATE/Kestrel). The optimizations will address inter-node and intra-node parallelization to better target emerging compute architectures (e.g., multi ...

    STTR Phase II 2013 Department of DefenseAir Force
  6. An Ultrasonic Wireless Sensor Network for Data Communication and Structural Health Monitoring

    SBC: X-Wave Innovations, Inc.            Topic: T12

    Sensor networks embedded on structures, such as pipes, bridges, railways, aircraft wings and fuselage, among others, are required to transfer data related to the health of the structure. This data is typically sent to a central location where it can be processed, displayed, and analyzed. Typical Structural Health Monitoring (SHM) uses embedded ultrasonic transducers exclusively for non-destructive ...

    STTR Phase II 2019 National Aeronautics and Space Administration
  7. Ocean Surface Vector Winds (OSVW)

    SBC: ATMOSPHERIC & SPACE TECHNOLOGY RESEARCH ASSOCIATES LLC            Topic: N16BT026

    Ocean surface winds are critically important in naval operations. They may aid, hinder, or negate maneuvers and operations, and are a primary consideration in routing ships. Continuous and reliable information on favorable and unfavorable sea state is critical for a broad range of naval missions, including strategic ship movement and positioning, aircraft carrier operations, aircraft deployment, e ...

    STTR Phase II 2019 Department of DefenseNavy
  8. Ultra Harsh Environment Yttria-Stabilized Zirconia (YSZ) Sensor for Hypersonic Test Facilities

    SBC: Innoveering, LLC            Topic: AF17AT002

    The YSZ Environment Sensing (YES) sensor is an electrochemical sensor that offers temperature, oxygen concentration and pressure measurement solution in ultra-harsh environments common in hypersonic ground test facilities. Its key component is the yttria-stabilized zirconia, which has a history of being utilized as a thermal barrier coating for jet engines, will survive elevated temperatures beyon ...

    STTR Phase II 2019 Department of DefenseAir Force
  9. Highly Sensitive Flash LADAR Camera

    SBC: VOXTEL, INC.            Topic: T9

    To address the urgent need for 3D flash-lidar technology for landing on solar system bodies and for spacecraft rendezvous and docking with satellites, an effort is proposed to fabricate, characterize, and test a versatile, high-sensitivity InGaAs APD 3D flash lidar and to advance the technology-readiness level (TRL) of lidar technologies suitable for NASA mission requirements. Leveraging an existi ...

    STTR Phase II 2019 National Aeronautics and Space Administration
  10. General Online Object Deep (GOOD) Tracking Phase 2

    SBC: KITWARE INC            Topic: AF17AT027

    Automatic high-value target trackers have a number of uses, including real-time sensor slewing on user-nominated targets, offline forensic investigations into where a specific target traveled, and assisting with automated missions running on remote platforms. Instead of automatically tracking all targets within a scene, it can be beneficial to focus on a single or small number of critical targets ...

    STTR Phase II 2019 Department of DefenseAir Force
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