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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. Visual Augmentation Systems (VAS) Range Finder

    SBC: ATTOLLO ENGINEERING, LLC            Topic: SOCOM234003

    Augmentation Systems (VAS) Range Finder. It provides opportunities for day/night observation and range measurement in a small, easy-to-use device. We tradeoff features and SWAP-C to determine optimal combinations and document them in a feasibility study. Novel methods of presenting ranges are further. investigated and discussed.

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  2. Hokkien Low Density Language Capability

    SBC: TOYON RESEARCH CORPORATION            Topic: SOCOM232002

    Toyon proposes to establish the feasibility of a novel approach to performing S2ST between a target language, such as English, and the low density spoken only language Hokkien. While we will focus of Hokkien during the research and development efforts of Phase I, our system can be tailored to any low density spoken language. Our approach leverages our recently developed Android Team Awareness Kit ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  3. Passive Optical Bar Code Tagging, Tracking and Identification

    SBC: PHOTON-X, INC.            Topic: N/A

    Photon-X team offers an innovative technique to passively or actively tag militarytroops, military vehicles, military assets and or undercover clandestine operationalcodes, which are undetectable by the human eye or conventional sensors. Photon-Xhas developed a patent pending sensor technology called spatial phase, which hasdemonstrated initial proof of concept for imaging, tracking multi-level t ...

    SBIR Phase I 2001 Department of DefenseSpecial Operations Command
  4. Passive Optical Bar Code Tagging, Tracking and Identification- Phase II

    SBC: PHOTON-X, INC.            Topic: N/A

    Building on a successful Phase 1, phase II is designed to provide a working prototype of the tag interrogator and the passive liquid tags to USSOCOM. The Phase II effort focuses on operationalizing the technologies and techniques developed during Phase I.The ability to passively tag, monitor movement, locate and identify the specific tags has been proven in Phase I. Photon-X team offers an inno ...

    SBIR Phase I 2001 Department of DefenseSpecial Operations Command
  5. DIG-SOF: A Next Generation Toolset for Data Aggregation and Analysis

    SBC: INFERLINK CORP            Topic: SOCOM16003

    As the Web has become an increasingly important communication network, it has also become a resource for terrorists, criminals, insurgents and other adversaries. For this reason, military and intelligence analysts are increasingly interested in technology for monitoring and analyzing information on Web sites, social media and other sources.However, there are many difficult technical challenges inv ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  6. Tactical Language and Culture Trainer

    SBC: ALELO TLT LIMITED LIABILITY COMPANY            Topic: SOCOM06010

    We propose to develop a computer-based training system for foreign languages and cultures by leveraging our Tactical Language and Culture Training System. The system is designed to enable the majority of trainees to quickly achieve an Inter-agency Language Round Table (ILR) Proficiency Level of at least 0+/0+/0+ while focusing on the communication skills and cultural awareness necessary to carry ...

    SBIR Phase I 2006 Department of DefenseSpecial Operations Command
  7. Cultural Intelligence Wiki-berry

    SBC: ALELO TLT LIMITED LIABILITY COMPANY            Topic: SOCOM07006

    Tactical Language Training, LLC, in collaboration with MYMIC, LLC, proposes to develop a portable cultural knowledge acquisition device called Wiki-berry, which service members can take into the field. The device will be capable of recording a variety of media, including voice, documents, images, and video. It will employ a user interface that is suitable for field use, as well as a rugged desig ...

    SBIR Phase I 2007 Department of DefenseSpecial Operations Command
  8. Neurobiological Approach to Reliable Feature Searching & Change Analysis in Imagery

    SBC: INFORMATION SYSTEMS LABORATORIES INC            Topic: N/A

    Not Available Laser sources are required to achieve many National Defense requirements for range finders, illuminators, mid-IR sources for countermeasures (IRCM), and solid state optical radars for range gated imaging, autonomous piloting, targeting and guidance. Significant advancements have been made over the last few years in laser capability such as wavelength coverage and output power, but t ...

    SBIR Phase I 1999 Department of DefenseNational Geospatial-Intelligence Agency
  9. Electrospray Capture & Detection of Bioaerosols

    SBC: CONNECTICUT ANALYTICAL CORPORATION            Topic: CBD212003

    The recent COVID-19 world pandemic demonstrates most effectively the urgent need for near real-time detection of ambient airborne pathogens. It has been demonstrated that electrospray ionization, utilized in many mass spectrometers today, has the unique ability to capture bioaerosols non-destructively out of the air for subsequent interrogation. This proposal leverages on this electrospray capture ...

    SBIR Phase I 2022 Department of DefenseOffice for Chemical and Biological Defense
  10. Virgo

    SBC: SOAR TECHNOLOGY, LLC            Topic: SOCOM17004

    Many current approaches applying big data analytics to defensive cyberspace operations (DCO) are based on two premises: queries that find known anomalies (e.g., indicators of compromise) and/or applying machine learning to detect anomalous behavior. While some claim to predict attacks, in truth those attacks must have already been detected somewhere, characterized, and added to a knowledge base. W ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
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