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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. CIM-MIAS (Cyber Information Management and Mission Impact Analysis System)

    SBC: MODUS OPERANDI INC            Topic: AF18CT002

    The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels i ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. Novel Nanocoating technology for Functional Textile

    SBC: Claros Technologies Inc.            Topic: A18BT024

    Nanoparticles represent an attractive alternative in coating processes due to their functional versatility, including surface, optical, conductive and catalytic properties. However, current processes of coating textile products with nanoparticles results in rapid loss of the nanoparticles during laundering or use, leading to a significant decrease in product durability and functionality and increa ...

    STTR Phase I 2019 Department of DefenseArmy
  3. Advanced Diagnostic for Performance and Combustion Characterization in Rotational Detonation Rocket Engine (RDRE)

    SBC: Exo-Atmospheric Technologies LLC            Topic: AF19AT011

    Rotating Detonation Rocket Engines (RDRE)are being developed to take advantage of the near instantaneous heat release potential of detonation waves versus conventional deflagration-based chemical reactions in combustion applications. However, the detonation product environment is extreme and current instrumentation to measure wall / surface conditions within the detonation chamber are lacking. The ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Information-based Norms on Flow, Operations and Traffic Over Networks (INFOTON)

    SBC: ISEA TEK, LLC            Topic: N18AT027

    The Internet of Things (IoT) connects people, data, and "things" (e.g., software, sensors, platforms), facilitating the translation of information into actions. Although naval platforms’ networks and communication suites have evolved significantly in the past few years to support such required connectivity, one of the greatest technical challenges still facing the military community is the proce ...

    STTR Phase II 2019 Department of DefenseNavy
  5. High Temperature Materials for Hypersonic Radomes and Antennas

    SBC: AMERICAN TECHNICAL COATINGS, INC.            Topic: AF18AT013

    Successful completion of this Phase II proposal will fully characterize and evaluate a material for use in RF windows on hypersonic flight vehicles. Phase II will specifically examine the materials suitability through RF testing in X, Ku, and Ka bands and at elevated temperatures to 2000°F. The desired outcome will be a material with predictable, repeatable dielectric properties over frequency ...

    STTR Phase II 2019 Department of DefenseAir Force
  6. Diagnostics for Performance Quantification and Combustion Characterization in Rotational Detonation Rocket Engine (RDRE)

    SBC: INNOVATIVE SCIENTIFIC SOLUTIONS INC            Topic: AF19AT011

    In Phase I, ISSI will design and demonstrate a laser absorption-based sensor for time-resolved measurements of combustion fuel/product concentrations (H2O, CO, CO2 and fuel) and gas temperature within the detonation channels and nozzle exit-plane of a rotating detonation rocket engine (RDRE). The goal of this STTR is to develop a single sided sensor that plugs into the outer wall of the RDRE simil ...

    STTR Phase I 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. Optimization of Sodium Guide Star Return using Polarization and/or Modulation Control

    SBC: APPLIED OPTIMIZATION, INC.            Topic: AF19AT008

    The research objective of the proposed work is to increase the efficiency of the laser return of a Sodium Guide Star Laser (SGSL) reflected off the sodium layer for increased reliability and applicability of the artificial guide star technique. During Phase I, we will demonstrate the concept of maximizing the SGSL signal returns using numerical simulations that account for the effects of atmospher ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Multisensor-Integrated Organ-on-a-Chip

    SBC: SPECTRAL ENERGIES LLC            Topic: AF19AT002

    The Air Force seeks three-dimensional bioprinted tissue that can accurately replicate complex multi-cell function and that can be integrated with biosensors. To address this need, Spectral Energies in collaboration with Prof. Khademhosseini of the University of California, Los Angeles (UCLA) proposes to develop an organ-on-a-chip system. The organ-on-a-chip system will be capable of accurately mod ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. Space-Based Computational Hyperspectral Machine Vision using Compressed Sensing Neural Networks

    SBC: Kent Optronics, Inc.            Topic: AF19AT015

    In this STTR Phase I proposal, Kent Optronics (KOI) together with its partner, Rice University, propose to develop novel deep learning algorithms to perform machine vision tasks such as target recognition and tracking utilizing the direct measurements from a compressive hyperspectral imaging system. By skipping the hypercube reconstruction, this combination of hardware and software will allow real ...

    STTR Phase I 2019 Department of DefenseAir Force
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