You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Fast Response Heat Flux Sensors and Efficient Data Reduction Methodology for Hypersonic Wind Tunnels

    SBC: Innoveering, LLC            Topic: AF17AT001

    There is a DoD need for the development of robust sensors to obtain temporally and spatially resolved surface temperature and heat flux measurements on test articles in blowdown and continuous hypersonic wind tunnels. These micro-heat flux sensors are required in order to better understand the state of the boundary layer of a hypersonic vehicle; to better understand boundary layer instabilities; a ...

    STTR Phase II 2019 Department of DefenseAir Force
  3. 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
  4. Operational Outer Zone Energetic Charged Particle Model

    SBC: Space Sciences Innovations INC            Topic: AF17CT03

    Near-Earth space environment is hazardous to satellites. This harsh particle radiation can penetrate protective shielding, accumulate in sensitive materials and can damage even well shielded electronic components causing temporary malfunctions or a complete system/mission loss. The goal of the proposed work is to provide the Air Force with a state-of-the-art model of the outer zone energetic elect ...

    STTR Phase II 2019 Department of DefenseAir Force
  5. Volume Digital Holographic Wavefront Sensor Phase 2

    SBC: NUTRONICS, INC.            Topic: AF18AT006

    Through the execution of our Phase 1 effort, Nutronics, Inc. and Montana State University developed an improved means to optimize the Pellizzarri cost functional for coherent imaging using digital holography. Our algorithm developed during the Phase 1 effort accelerates convergence times by a factor of 20-40 for the majority of scenarios evaluated. Our proposed Phase 2 effort has a two-fold focus: ...

    STTR Phase II 2019 Department of DefenseAir Force
  6. Full Mueller Matrix Characterization of Imaged Samples using Digital Holography

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: AF18AT007

    The Phase II effort will be to clearly demonstrate the feasibility and build a prototype of a noncontact, high-quality holographic polarimetry system with pixel level depth and Mueller matrix information with a user-friendly interface to image and display this data. The measurements of each data product will be validated with trusted truth samples. The system will be reproducible and will have a d ...

    STTR Phase II 2019 Department of DefenseAir Force
  7. 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
  8. Computationally Efficient, Accurate and Uncertainty Characterized Chemical Kinetics for Hydrocarbon Fuels

    SBC: CFD RESEARCH CORPORATION            Topic: AF17AT004

    High-pressure turbulent combustion occurs in many combustion devices critical to the Air Force. Notwithstanding significant progress in computational modeling of these devices; several challenges have remained. A fundamental challenge is identification of reaction pathways and reactions in small molecule foundational chemical kinetics requiring improvements under these high-pressure turbulent cond ...

    STTR Phase II 2019 Department of DefenseAir Force
  9. 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
  10. NEUTRON: Network Enforcement Using TRansctiONs

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: AF17BT004

    SIFT proposes Network Enforcement Using TRansactONs (NEUTRON) a dynamic fine-grained network enforcement policy design that captures network dependencies. NEUTRON closes the knowledge gap between mission needs and observed network traffic to increase mission network awareness. Then using that knowledge develops a revolutionary security enforcement policy based on network transactions. It reduces t ...

    STTR Phase II 2019 Department of DefenseAir Force
US Flag An Official Website of the United States Government