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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. Innovative Combat Simulation to Craft Tomorrow’s UAV Operational Doctrine

    SBC: HPS Simulations            Topic: AF09BT31

    Existing computer combat wargames offer a sophisticated and high fidelity base platform for accurately modeling standard combat scenarios. However, the rapid development of UAV capabilities in terms of sizes, weapons, sensors, communications and flight ability is presenting a new challenge for these simulations. At the same time, the general state of world affairs is changing such that the likeli ...

    STTR Phase I 2010 Department of DefenseAir Force
  2. Innovative Combat Simulation to Craft Tomorrow’s UAV Operational Doctrine

    SBC: John Tiller Software, Inc            Topic: AF09BT31

    This proposal is for the use of state-of-the-art computer wargames to be used in the research on the impact and optimal use of unmanned aerial vehicles (UAVs) in realistic combat scenarios. High fidelity, historically calibrated wargames ranging from sub-tactical ground-centric game engines through operational, strategic, air campaign, and naval-centric game engines will be used to address the fu ...

    STTR Phase I 2010 Department of DefenseAir Force
  3. Innovative CFD Algorithm, Libraries & Python Frameworks for Hybrid-GPU Computing Architectures

    SBC: JMSI, INC            Topic: AF09BT18

    The need for faster highly resolved solutions coupled with the advent of General Purpose Graphics Processing Unit (GPGPU) architectures and the development of GPGPU algorithms at the University of California, Davis present an opportunity that JMSI Inc. proposes to leverage by developing algorithmic and software solutions for GPGPUs in “Innovative CFD Algorithms, Libraries & Python Frameworks for ...

    STTR Phase I 2010 Department of DefenseAir Force
  4. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: AECHELON TECHNOLOGY            Topic: N09BT038

    Military operations in urban areas have increasingly become a key capability for our armed forces. The increased risk of use of the unique nature of large urban environments by hostile forces to their tactical advantage, and related civilian casualties, requires updated procedures, comprehensive training, and constantly evolving capabilities. Current training technologies fail to address the signi ...

    STTR Phase I 2010 Department of DefenseNavy
  5. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: CG2, Inc.            Topic: N09BT038

    In today’s information age, there are vast resources of data on every region of the Earth. The application of geospecific imagery over large areas has been limited to terrain for the most part. The hindrances to full use of geospecific imagery are the labor required to create the databases, and limits on the rendering capacity of current image generators (IGs), both in polygon count and texture ...

    STTR Phase I 2010 Department of DefenseNavy
  6. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: TOYON RESEARCH CORPORATION            Topic: N09BT038

    Toyon Research Corporation and Brown University propose to develop a complete real-time software solution which ingests multi-sensor ISR imagery and produces geo-specific, realistic simulated imagery for flight simulators and training devices. The technical innovations enabling this solution include fully automated 3-d model construction from sequences of ISR video frames, and geo-registration of ...

    STTR Phase I 2010 Department of DefenseNavy
  7. Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures

    SBC: Five Focal LLC            Topic: AF12BT06

    ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...

    STTR Phase I 2013 Department of DefenseAir Force
  8. Infrared Metamaterials for Emission Phase Control

    SBC: PLASMONICS INC            Topic: AF10BT30

    ABSTRACT: Under the first phase of the program, Plasmonics Inc. and Sandia National Laboratories investigated a range of surfaces that yield non-Lambertian emission profiles in the thermal infrared. The second phase of this program will further maturate the designs developed in the first phase of the program. With the vast majority of the analytical work complete, focus in the second phase will b ...

    STTR Phase II 2013 Department of DefenseAir Force
  9. Inferring Social and Psychological Meaning in Social Media

    SBC: SECURBORATION, INC.            Topic: A12aT009

    The rapid ascent and adoption of social media as the dominant form of communication has led to significant analysis challenges. In particular, there is a gap in theoretically informed methods to analyze data mined and collected from social media. One primary cause of this gap is the lack of fusing structural sources of information (e.g. social network topology) with non-structural sources (message ...

    STTR Phase I 2013 Department of DefenseArmy
  10. Incremental Learning for Robot Sensing and Control

    SBC: Net-Scale Technologies, Inc.            Topic: A09AT030

    This proposal addresses key open challenges identified during the LAGR program for the practical use of adaptive, vision-based robot navigation in commercial settings. First, the adaptive vision system learns quickly, but forgets as quickly. This will be addressed by using an ensemble of "expert" classifiers, each of which specializes for a particular environment and can be quickly activated when ...

    STTR Phase I 2010 Department of DefenseArmy
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