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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. Naturalistic Neurocognitive Assessment Using Mobile Gaming Platforms

    SBC: Vista Partners LLC            Topic: A12aT029

    The neurocognitive health of U.S. service members plays a vital role in the defense of the United States. It is critical to a service member"s effectiveness, to force readiness, and it is a key component of a service member"s successful reintegration into family life and society following deployment. Increased rates of mild traumatic brain injury (mTBI) and psychological health problems experien ...

    STTR Phase I 2013 Department of DefenseArmy
  2. Non-destructive Exfoliation and Drying of Anisotropic Nanomaterials

    SBC: NANOSONIC INC.            Topic: A09AT021

    The overall goal of this proposed Army STTR is to demonstrate low-cost, non-destructive methodologies for non-agglomerating drying of anisotropic nanomaterials. NanoSonic and Virginia Tech will work in tandem to demonstrate novel approaches involving both high performance coatings and CO2 processing that facilitate gentle, simultaneous drying and exfoliation of nanoparticles, preventing agglomera ...

    STTR Phase I 2010 Department of DefenseArmy
  3. Provably Unclonable Functions on Re-configurable Devices

    SBC: Potomac Research LLC            Topic: A18BT001

    Physically UnclonableFunctions (PUFs) have been proposed as central building blocks in cryptographic protocols and security architectures. PUFs are physical devices that exhibit a challenge/responsebehavior: when presented with a challenge, the device produces a response that is a random function of both the challenge and the physical properties of the device.In contrast to most digital designs, i ...

    STTR Phase I 2018 Department of DefenseArmy
  4. Random Number Generation for High Performance Computing

    SBC: Silicon Informatics, Inc.            Topic: A10AT012

    Highly scalable parallel random number generators (RNGs) will be developed, evaluated and implemented for use in high performance computing on thousands of multi-core processors and general purpose graphics processing units. The main contributions are: (a) design and implementation of new parallel test methods that capture the inter-stream correlations exhibited in practice and complement the curr ...

    STTR Phase I 2010 Department of DefenseArmy
  5. SEmantic Context Aware Network Tools (SECANT)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: A12aT009

    Social network analysis has become one of the most powerful analytic tools in both private and government sectors and a key source of information on individuals and groups. Recently, social media arose as an important source for social network data in both sectors. Unfortunately, theoretically motivated approaches to social network analysis have not been able to keep pace with the new informationa ...

    STTR Phase I 2013 Department of DefenseArmy
  6. Soft and Elastomeric Intramuscular Electrode with Therapeutic Delivery Capability

    SBC: TDA RESEARCH, INC.            Topic: A13AT019

    Approximately 5-6% of military injuries involve some form of major peripheral nerve injury with little chance of spontaneous healing. Currently these injuries lead to major impairment of voluntary muscle function in the limbs and extremities, making tasks of walking, reaching, grasping, etc. very difficult or impossible for many patients. It is not enough to focus therapeutic treatment on the se ...

    STTR Phase I 2013 Department of DefenseArmy
  7. Solar Blind MgZnO Photodetectors

    SBC: AGNITRON TECHNOLOGY, INC.            Topic: A13AT006

    This Phase I program is focused on enhancement of the performance of MgZnO based solar blind detectors. MgZnO alloys have superior optoelectronic properties with bandgaps suitable for solar blind detection. Issues related to doping and miscibility will be addressed. This will involve the use of advanced MOCVD and MBE growth techniques and consideration of both Schottky and p-n junction devices. No ...

    STTR Phase I 2013 Department of DefenseArmy
  8. Terahertz Frequency Spectrometer Combined with Sub-Wavelength Microfluidic Platform

    SBC: VIBRATESS            Topic: A12aT021

    The goal of this project is to design and build a THz-frequency spectrometer prototype with sub-wavelength spatial resolution for use in the spectroscopic and temporal analysis of trace material samples in advanced sensing and monitoring applications. The instrument operating at room temperature will include a periodic-grating microfluidic sampling system with controlled precise sample placement a ...

    STTR Phase I 2013 Department of DefenseArmy
  9. Topological Data Analysis and Wide Area Detection of Chemical and Biological Contamination

    SBC: FOLDED STRUCTURES COMPANY LLC            Topic: A10AT020

    Topological data analysis is a new mathematical method used to study these massive data sets that arise in a variety of situations including military operations and national security. The use of passive infrared sensors for a wide area detection system involving chemical and biological contaminants produces massive amounts of hyperspectral image data. Recent research in this area include fast al ...

    STTR Phase I 2010 Department of DefenseArmy
  10. Topological Data Analysis and Wide Area Detection of Chemical and Biological Contamination MP 39-10

    SBC: METRON INCORPORATED            Topic: A10AT020

    Metron, Inc. and Stanford University propose to design, develop, test and demonstrate topological data analytic algorithms to analyze hyperspectral imagery. We propose to adapt the topological data analytic techniques, including Stanford’s successful Mapper algorithm, to the hyperspectral imagery domain. Using these algorithms we will identify topological and geometric features and properties ...

    STTR Phase I 2010 Department of DefenseArmy
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