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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. Vortex Preserving and Consistent Large Eddy Simulations for Naval Applications

    SBC: Kord Technologies, Inc.            Topic: N15AT002

    An integrated program of fundamental research, software development and technology transition to Navy target platforms for computationally efficient yet accurate prediction of turbulence interactions involving disparate length scales has been proposed and is underway. The fundamental research will be conducted at Purdue University and provide a critical modeling component for turbulence resolving ...

    STTR Phase II 2017 Department of DefenseNavy
  2. veriScan

    SBC: SENTAR, INC.            Topic: OSD06SP2

    The goal of the Information Assurance Run-time Auditing (IARA) Phase I project was to provide a framework that promotes the specification of software system monitoring, audit, analysis, and threat mitigation capabilities in large scale software intensive systems (LSSIS). IARA was designed to promote software assurance by incorporating novel tools that help certify the operations of untrusted soft ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  3. Universal Multivariate Information Measures for Multisensor Inference (UMIMMI)

    SBC: BOSTON FUSION CORP            Topic: AF16AT29

    The team of Boston Fusion Corp., University of Illinois at Urbana-Champaign, and Syracuse University proposes Phase II of UMIMMI: Universal Multivariate Information Measures for Multisensor Inference, a research program that studies multivariate information measures and uses these to construct optimal, universal algorithms and to lay a framework for general multivariate reasoning. We can then appl ...

    STTR Phase II 2017 Department of DefenseAir Force
  4. Ultrafast Physical Random Number Generation Using Chaos

    SBC: Torch Technologies, Inc.            Topic: A14AT002

    Random numbers are essential for a growing number of modern applications. As computer speed and communications bandwidth have increased the potential for practical streaming cipher and large-scale Monte Carlo simulations have become technologically feasible. For these and other applications, ultrafast random number generators are essential. This is intuitively clear. Additionally, however, the ide ...

    STTR Phase II 2016 Department of DefenseArmy
  5. Tunable High-Power Infrared Lasers for Standoff Detection Applications

    SBC: EOS Photonics            Topic: A14AT015

    To achieve the goals of this program improving spectral coverage and output power of monolithic QCL sources - we propose to develop in collaboration with MIT Lincoln Laboratory a broadly tunable high power source that is based on Eos proprietary QCL array technology. The current generation of Eos commercially available fully packaged QCLAs (The Matchbox) can be tuned over a wavelength range of u ...

    STTR Phase II 2016 Department of DefenseArmy
  6. Time-resolved Measurements of Temperature and Product Mass Fractions within Detonation-based Combustion Devices at Elevated Pressures and Temperatures

    SBC: INNOVATIVE SCIENTIFIC SOLUTIONS INC            Topic: N15AT021

    Detonation-based combustion devices have recently gained significant research interest because they can significantly improve cycle efficiency in propulsion and power generation systems. A high-sensitivity, high-bandwidth sensor for in-situ measurements of temperature and combustion products is needed to assist the development of accurate models for predicting combustor performance. Here we propos ...

    STTR Phase II 2017 Department of DefenseNavy
  7. Technology Transitioning of Phase II Scalable Adaptive Fiber-Array Elements (SAFARE)

    SBC: MV INNOVATIVE TECHNOLOGIES, LLC            Topic: AF12BT13

    The ongoing SAFARE STTR Phase II effort is focused on improving essential components for the high-energy coherently combined, fiber-based phased-array laser weapon system prototypes developed under the DARPA Excalibur program and significantly reduce system size, weight and required electrical power (SWaP). Fiber-array based laser weapons technology promises high power efficiency and reduced SWaP, ...

    STTR Phase II 2017 Department of DefenseDefense Advanced Research Projects Agency
  8. System of Systems Control Interactions

    SBC: GTD Unlimited LLC            Topic: MDA15T002

    In this research effort, the GTD team will design tools for efficiently specifying, representing, and analyzing the interactions between control systems in System of Systems (SoS). Three approaches will be considered and integrated. The first two are based in the rigorous application of H_8 control theory to the SoS design problem. The third will use complexity measures to generate a metric that c ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  9. 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
  10. 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
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