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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. ROBUST MOVING TARGET HANDOFF IN GPS-DENIED ENVIRONMENTS

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: AF15AT34

    Unmanned aircraft systems (UAS) are increasingly seen as a cornerstone in developing the future Defense infrastructure and it is critical that they collaborate efficiently and execute complex missions in denied environments. Although great progress has been made in GPS-denied navigation, the target handoff problem in GPS-denied environments has not been extensively studied. In this problem, a trac ...

    STTR Phase II 2016 Department of DefenseAir Force
  2. Scalable System for Precision Direction-Finding, Anti-Jam, and Anti-Spoof

    SBC: TOYON RESEARCH CORPORATION            Topic: A15AT013

    The Global Positioning System (GPS) is vulnerable to radio-frequency (RF) sources of interference and must be defended through electronic protection (EP) measures such as anti-jam (AJ) and anti-spoof (AS). The Phase I effort investigated antenna, electronic, and algorithmic designs for systems capable of supporting direction-finding (DF) measurements while simultaneously performing anti-jam and an ...

    STTR Phase II 2017 Department of DefenseArmy
  3. Simultaneous Time-Resolved Gas and Particle Flow Measurements in a Multiphase Blast Using Particle Imaging Velocimetry and Novel Phase Separation Techniques

    SBC: METROLASER, INCORPORATED            Topic: AF17AT020

    An experimental method is proposed to enable time-resolved measurements of both gas and particle velocities in explosions containing particles for munitions research. The approach involves novel processing methods for two-dimensional images that allow discrimination of the image content based on particle size. This allows an image containing a poly-dispersed distribution of particles to be decompo ...

    STTR Phase I 2017 Department of DefenseAir Force
  4. Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: AF15AT35

    Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...

    STTR Phase II 2016 Department of DefenseAir Force
  5. Smart Femtosecond Fiber Laser Wound Healing System

    SBC: POLARONYX INC            Topic: DHP15B002

    Based on our success in developing the world first commercial high energy femtosecond fiber laser system and our leading proprietary technology development in ultrashort pulsed fiber laser material processing, PolarOnyx proposes, for the first time, a compact high energy fiber laser based smart wound healing tool to meet with the requirement of this DHP solicitation. It includes a high energy fs f ...

    STTR Phase I 2016 Department of DefenseDefense Health Agency
  6. SOCRATES Maritime Multi-access Optical Communication and System

    SBC: SA PHOTONICS, LLC            Topic: N16AT024

    SA Photonics is pleased to propose the SOCRATES free space optical communication and sensing system featuring the Photonic Optical Multicast Mast Unit (POMMU). SOCRATES enables 360 degree multicast capability of high bandwidth communication in addition threat search and track capability. SA Photonics will team with the Prof. Michal Lipson of the Lipson Nanophotonics Group at Columbia University wh ...

    STTR Phase I 2016 Department of DefenseNavy
  7. SOCRATES Maritime Multi-access Optical Communication System

    SBC: SA PHOTONICS, LLC            Topic: N16AT024

    SA Photonics is pleased to propose the SOCRATES free space optical communication and sensing system featuring the Photonic Optical Multicast Mast Unit (POMMU). SOCRATES enables 360 degree multicast capability of high bandwidth communication in addition to threat search and tracking capability. SA Photonics will team with Prof. Michael Kudenov at North Carolina State University who will investigate ...

    STTR Phase II 2017 Department of DefenseNavy
  8. Software Tools for Implementing Speech Agents in Crew Resource Management Training Systems

    SBC: OPTIMAL SYNTHESIS INC.            Topic: N17AT010

    Crew resource management training systems are often constrained by the high cost and lack of flexibility in coordinating a large groups of human role players for part-task training. Motivated by the recent maturation of the speech synthesis and recognition technologies, speech-enabled crew role-player agents are being introduced to address these limitations. However, difficulties remain in customi ...

    STTR Phase I 2017 Department of DefenseNavy
  9. Spatiotemporal Shaping for Parallel Additive Manufacturing

    SBC: POLARONYX INC            Topic: N17AT030

    This Navy STTR Phase I proposal presents an parallel AM tool to eliminate conventional scanning strategy. A 2D MEMS array is used to shape both in time domain and spatial domain to obtain the desired pattern for layer by layer process. Modeling is used to study in-process melting evolution versus powder and beam properties. It provides quantitative characterization of the AM system to guide the de ...

    STTR Phase I 2017 Department of DefenseNavy
  10. Target Tracking via Deep Learning

    SBC: TOYON RESEARCH CORPORATION            Topic: AF17AT027

    Persistent tracking of high-value targets is of great interest for reconnaissance and surveillance applications. In recent work, deep neural networks have demonstrated excellent performance on the popular Visual Object Tracking (VOT) challenge; however, these algorithms have not been tested on applications of interest to the Air Force, such as ground vehicle tracking in video recorded from Unmanne ...

    STTR Phase I 2017 Department of DefenseAir Force
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