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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. Structured Adaptivity for Computer Science Coding

    SBC: ZYANTE INC.            Topic: 91990018R0006

    In this project, the team will develop a prototype of a web-based coding progression tool for high school students to practice coding from easy to successively harder levels. The prototype will provide graded practice exercises, solutions, and explanations for important coding tasks. At the end of Phase I, in a pilot study in five high school classrooms, the researchers will examine whether the pr ...

    SBIR Phase I 2018 Department of EducationInstitute of Education Sciences
  2. Learning to Code with a Pretend Play Storytelling Model

    SBC: CODESPARK, INC.            Topic: 91990018R0006

    In previous research and development, the developers created codeSpark, a game that employs a visual and block-based approach with puzzles to teach programming skills to children ages 5 to 9 years old. In this project, the developers will create a prototype of a fantasy-based story to be integrated within the existing game. The pretend-play scenarios will include characters, storylines, and incent ...

    SBIR Phase I 2018 Department of EducationInstitute of Education Sciences
  3. System for Nighttime and Low-Light Face Recognition

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: SOCOM18A001

    The objective of this proposal is to develop instrumentation and algorithms for acquiring facial features for facial recognition in low- and no-light conditions.We will use cross-spectrum matching by exploiting infrared polarimetric imagery which tends to show features that match more closely visible imagery than conventional infrared.In addition to thermal infrared, we will also test subjects in ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  4. Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia

    SBC: HVMN Inc.            Topic: SOCOM17C001

    In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  5. Handheld Hidden Chamber Detection

    SBC: TIALINX, INC.            Topic: SOCOM173004

    SOCOM requires rapid implementation and delivery of a handheld, automated hidden chamber sensor system to detect, locate, and discriminate hidden compartments. TiaLinxs Eagle-NC is a wall imager that operates as an ultra-wideband (UWB) radio frequency (RF) sensor integrated with advanced computer vision algorithms, state-of-the-art computer processor technologies, and has a fully integrated displa ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  6. Tools for Memory Hierarchy Optimization on Pre-Exascale HPC Architectures

    SBC: EP ANALYTICS, INC..            Topic: DTRA172003

    DTRA uses High Fidelity Computer Codes (HFCC) to investigate weapon effects and techniques for countering Weapons of Mass Destruction (WMD). End-to-end HFCC simulations in support of the DTRA Agent Defeat Warfighter Capability will require calculations including multiple phenomena that occur in vastly different time scales (-sec to hours). As DTRA becomes increasingly reliant on computational mode ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  7. Safe High-Energy Long-Life (SHELL) Solid-State Ultracapacitors

    SBC: LYNNTECH INC.            Topic: DTRA172005

    In order to reduce DTRAs dependence on batteries and their associated logistics train, advanced power supplies, which are able to charge quickly and work in a wide variety of environmental conditions, and are reusable over many charge-discharge cycles without loss of performance, are greatly required. Lynntech proposes to develop safe, high energy, long-life (SHELL) solid-state ultracapacitors by ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  8. Field-Expedient Nuclear Isotope Characterization Spectrometer

    SBC: HEDGEFOG RESEARCH INC.            Topic: DTRA172008

    To address the DTRA's need for a field deployable mass spectrometer for nuclear forensic analysis (NFA), Hedgefog Research Inc. (HFR) proposes to develop a new Field-Expedient Nuclear Isotope Characterization Spectrometer (FENICS), based on species-specific ionization and novel signal enhancement schemes. New system features in FENICS will enable rapid, on-site characterization of nuclear debris s ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  9. SUAS Killer, Identifier, and Tracker

    SBC: Physical Optics Corporation            Topic: SOCOM173005

    To address USSOCOMs need for a system to detect, locate, track, and either disable and/or destroy a small unmanned aerial system (SUAS) from a distance, Physical Optics Corporation (POC) proposes to develop the new SUAS Killer, Identifier, and Tracker (SKEET) system. The SKEET system is based on a new design that combines state-of-the-art airspace monitoring technology utilizing compact scanning r ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  10. 3D Modeling Indoor Space

    SBC: TOYON RESEARCH CORPORATION            Topic: SOCOM173002

    The US Special Operations Forces (SOF) missions include a variety of short-duration, covert operations (e.g. enemy capture, personnel recovery, intelligence/information gathering) which require extensive operational planning and rehearsal. To assist in planning, accurate 3D physical models of sensitive indoor areas or enemy-occupied buildings is desired; however, obtaining data to build such model ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
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