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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. Triton™: Active Imaging through Fog

    SBC: SA PHOTONICS, LLC            Topic: N18AT021

    Active imaging systems are used in degraded visual environments, like those found in marine fog and other areas with a high level of attenuation and scattering from obscurants like rain, smoke and dust. These systems are still limited in range and resolution. SA Photonics is taking advantage of new eyesafe, hybrid fiber-bulk laser technology capable of high pulse energy at high repetition rate to ...

    STTR Phase II 2020 Department of DefenseNavy
  2. Comprehensive Surf Zone Modeling Tool

    SBC: Arete Associates            Topic: N19AT010

    The objective of this project is to advance the capabilities of the Coastal Battlefield Reconnaissance and Analysis (COBRA) system by creating a Surf Zone Modelling Tool (SZT) that can create realistic synthetic imagery of the surf zone (SZ). Through the use of this synthetic imagery the COBRA Program will be enabled to inform concept of operations (CONOPS) in unfamiliar environments as well as mo ...

    STTR Phase II 2020 Department of DefenseNavy
  3. Proactive Contextual Decision Support for Decision Making Under Uncertainty

    SBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC.            Topic: N13AT020

    Current decision tools often omit important situational context. Unfortunately, this can lead to dangerous and costly errors, as context drives decision making. For example, in operational navigation planning tasks, decisions must be made that rely on multiple information sources of different fidelities and uncertainties. Furthermore, after obtaining additional information the necessity for replan ...

    STTR Phase II 2015 Department of DefenseNavy
  4. Nondestructive Evaluator for Polymer Ablatives (NEPAL)

    SBC: Intelligent Automation, Inc.            Topic: N18AT011

    Materials for thermal protection are required to protect structural components of missile launching systems, space vehicles during the re-entry stage, and solid rocket motors (SRMs). Polymer resins that have high char retention (e.g., phenolic resins) are the most common matrices in the composite materials for rigid thermal protection systems (TPSs) due to their tunable density, lower cost, and hi ...

    STTR Phase II 2020 Department of DefenseNavy
  5. Multiscale Fast and Distributed Data and Statistics Summarization

    SBC: Intelligent Automation, Inc.            Topic: A17AT010

    The variety, volume and velocity of data available from the internet, sensors and other sources has grown dramatically providing the opportunity to gain novel insights in many fields.  In order to derive actionable insights from these data sources many challenges must be overcome including the need to summarize or distill large amounts of data that preserve salient features/relationships and meth ...

    STTR Phase II 2020 Department of DefenseArmy
  6. QADE: Quantification, Analysis, Defense and Evaluation System for Resilient and Secure Wireless Communication Operations

    SBC: Intelligent Automation, Inc.            Topic: A16AT007

    Department of Defense (DoD) operations critically rely upon efficient, robust, resilient and secure wireless network communications. Recently, machine learning (ML) has emerged as a key technology to support wireless communications systems in their adaptation to spectrum dynamics including novel adversarial threats. While ML is getting traction in wireless security applications such as detecting c ...

    STTR Phase II 2020 Department of DefenseArmy
  7. Using the Conditional Moment Closure Method to Assess the Effects of Turbulence Chemical Kinetics

    SBC: REACTION SYSTEMS, INC.            Topic: A16AT001

    Predicting the emission signature and radar cross-section of rocket exhaust plumes is of vital interest to the Missile Defense Agency and U.S. Army to protect the U.S. homeland and our forces abroad.  The current STTR Phase II project has shown that a single-conditioned Premixed Conditional Moment Closure (PCMC) can employ detailed chemical kinetic mechanisms while efficiently modeling combustion ...

    STTR Phase II 2020 Department of DefenseArmy
  8. Freeze Casting of Tubular Sulfer Tolerant Materials for Solid Oxide Fuel Cells

    SBC: MILLENNITEK, LLC            Topic: A14AT011

    Solid oxide fuel cells have long suffered from degradation due to impurities in the fuel and complexities associated with dissimilar materials and high operating temperatures. This degradation lowers the usable cell power output and requires ancillary equipment for fuel sulfur removal and reformation. A unique microstructure for a tubular anode-supported SOFC is being developed using a novel freez ...

    STTR Phase II 2020 Department of DefenseArmy
  9. Conjugate heat transfer for LES of gas turbine engines

    SBC: CASCADE TECHNOLOGIES INC            Topic: N19BT027

    Current design tools for gas turbine engines invoke a variety of simplifying assumptions to estimate heat transfer to solid/metal engine components (e.g., isothermal boundary conditions). These approximations are often not valid, result in inaccurate predictions of heat transfer, and ultimately compromise the thermal integrity of propulsion and power systems. Wall-modeled large eddy simulation (WM ...

    STTR Phase II 2020 Department of DefenseNavy
  10. Optimization of Fatigue Test Signal Compression Using The Wavelet Transform

    SBC: ATA ENGINEERING, INC.            Topic: N18BT029

    ATA Engineering has developed a wavelet-based damage squeezing methodology for generating optimally compressed fatigue test signals that produce an equivalent amount of fatigue damage in a predictably reduced amount of time compared to the baseline (uncompressed) signals. Fatigue-critical signal characteristics (e.g., magnitude, phase, frequency, and sequencing relationships) are identified in the ...

    STTR Phase II 2020 Department of DefenseNavy
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