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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. Fast Optical Limiters (OL) with Enhanced Dynamic Range

    SBC: Aegis Technologies Group, LLC, The            Topic: AF17AT029

    Current fielded sensor protection is limited to fixed wavelength filters. Broadband filters designed to circumvent multi-wavelength laser threats are plagued by low transmittance, which degrades the sensitivity and performance of the sensor. Future warfighter threats include frequency agile lasers and thus have the potential of defeating fixed filters. Self-activating (passive) devices where prote ...

    STTR Phase II 2019 Department of DefenseAir Force
  2. Alternative Methods for Creating a Sodium Guidestar

    SBC: Crystalline Mirror Solutions, LLC            Topic: AF17AT005

    The development of compact and telescope-deployable laser sources emitting in the yellow portion of the visible spectrum is critical for the advancement of DoD-relevant adaptive optics capabilities. The objective of this project is to continue the development of novel laser architectures based on optically-pumped substrate-transferred epitaxial gain media capable of efficient thermal management an ...

    STTR Phase II 2019 Department of DefenseAir Force
  3. 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 group 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 customiz ...

    STTR Phase II 2019 Department of DefenseNavy
  4. Provably Unclonable Functions on Re-configurable Devices

    SBC: IERUS TECHNOLOGIES INC            Topic: A18BT001

    The ability to authenticate electronic devices is an important step towards modernizing the hardware/software of our Nations communication systems. Protecting these targeted networks and devices from malicious cyber-based attacks is becoming increasingly important as the technological and cyber capabilities of our adversaries continue to advance. In addition to network security, device authenticat ...

    STTR Phase I 2018 Department of DefenseArmy
  5. Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: N17AT016

    OKSI and Northwestern University propose to develop a single-image super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that combines learning-based and regularization-based approaches to produce extreme enhancement of low-resolution images. We will also develop a detector-limited imaging system specifically designed to be used with the SR methodology for which even higher levels ...

    STTR Phase II 2019 Department of DefenseNavy
  6. Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA)

    SBC: Luminit LLC            Topic: AF18BT004

    To address the U.S. Air Force need for Developing innovative wave-optics Propagation methods to model laser systems that are faster, efficient and more accurate, Luminit, LLC, and University of Southern California (USC) propose to develop Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA). The proposed algorithms will be based on cutting off redundant frequencies upon ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Advanced Command and Control Architectures for Autonomous Sensing

    SBC: TOYON RESEARCH CORPORATION            Topic: N18BT030

    We propose to develop an innovative open architecture for the semi-autonomous command and control (C2) of teaming Unmanned Aircraft Systems (UAS). The proposed architecture, based upon Toyon’s Decentralized Asset Management system, supports both centralized and decentralized fusion and control autonomy solutions as well as hybrids approaches. Leveraging STANAG-4586, TCP/IP, UPD, Google™ protob ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Blending Classical Model-Based Target Classification and Identification Approaches with Data-Driven Artificial Intelligence

    SBC: TOYON RESEARCH CORPORATION            Topic: N18BT033

    Toyon Research Corp. and the University of California propose to develop innovative algorithms to perform automatic target recognition (ATR), localization, and classification of maritime and land targets in EO/IR, LiDAR, and SAR imagery. The proposed algorithms are based on recent developments made at the University of California, which outline a strong mathematical framework for naturally blendin ...

    STTR Phase I 2019 Department of DefenseNavy
  9. Lasers Based on Gas or Liquid Filled Hollow-Core Photonic Crystal Fibers

    SBC: SA PHOTONICS, LLC            Topic: AF18BT015

    We propose a compact, monolithic, power scalable, hollow core fiber-gas laser emitting in the atmospheric transmission region in the mid-IR. The proposed optically pumped fiber-gas laser system is efficient, has a small footprint as well has a broad spectral coverage in the mid-IR. Due to the unique approach employed, the proposed technology allows generation of mid-IR output with varying pulse re ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. Blended Reality Solution for Live, Virtual, and Constructive Field Training

    SBC: SA PHOTONICS, LLC            Topic: AF17AT011

    A Battlefield Airman (BA) has one of the most challenging positions in the military. BA personnel are tasked with the dual roles of being warfighters as well as Combat Controllers, Pararescuemen, Tactical Air Control Party (TACP) members and Special Operations Weather Technicians often while behind enemy lines. These complex duties require high fidelity training. In some cases, such as Pararescuem ...

    STTR Phase II 2018 Department of DefenseAir Force
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