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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: Maztech Industries LLC            Topic: SOCOM234003

    IERUS is developing a novel phased array ground terminal aperture architecture for the DoD's next generation of satellite constellations. With the proliferation of high-bandwidth satellites across LEO, MEO, and GEO, there is a need for SWaP-C optimized user terminal apertures. The IERUS solution implements scalable and mission-set reconfigurable technologies to enable rapid transition into operati ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  2. 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
  3. Cerebras Systems artificial intelligence (AI) and machine learning (ML) to process and categorize concurrent video security streams against critical national level objectives

    SBC: CEREBRAS SYSTEMS INC            Topic: J201CSO1

    HQ AFSOC A2 and JSOC’s JIB have a national defense-related mission need in rapid, effective decision-making to support the nation’s elite special operators. The initial Cerebras’ super-computing Phase II successfully validated the system’s ability to util

    SBIR Phase II 2023 Department of DefenseSpecial Operations Command
  4. Hokkien Low Density Language Capability

    SBC: FEMTOSENSE, INC.            Topic: SOCOM232002

    Femtosense is an innovative tech startup leading the charge to deploy sparse AI using novel techniques that are far more affordable and easier to implement than traditional AI computational technologies. Femtosense’s invention – the Sparse Processing Unit (SPU-001) is a TRL level 7 processing chip poised to disrupt the $50B AI hardware market. It offers best-in-class SWaP-C (Size, Weight, Powe ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  5. 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
  6. High Energy Density Batteries

    SBC: WASATCH IONICS LLC            Topic: SOCOM232003

    Soldiers conducting missions on foot in remote locations must carry multiple battery powered electronic devices, such as multiband radio sets, night vision goggles and scopes, GPS tracking, thermal imagers, target designators, etc. These devices allow soldiers to target, move, and communicate in the modern battlefield. Depending upon the type of mission and its duration, soldiers might not have th ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  7. Compact Broadband Leak Detector for Autonomous Vehicles

    SBC: ADELPHI TECHNOLOGY INC            Topic: 22PH2

    We propose to develop a hybrid leak detection system, utilizing real-time multisensory system and a compact gas chromatograph (GC) integrated in a single unit. The key advantages of our GC technology are utilization of scrubbed ambient air as a carrier gas and utilization of novel multisensory highly integrated platform as a GC detector. The outcome of this technology, is the ability to monitor a ...

    SBIR Phase II 2023 Department of Transportation
  8. Optimizing Demand for Transit with Blockchain-Enabled Commuter Support

    SBC: RIGHT CLICK SOLUTIONS INC.            Topic: 22FT3

    Optimizing demand for available transportation infrastructure is desirable for the Department of Transportation and Federal Transit Administration, local and regional agencies, private organizations, and individuals. Unfortunately, traditional Transportation Demand Management (TDM) efforts fail to facilitate cooperation between actors, and rely heavily on marketing and financial incentives to infl ...

    SBIR Phase II 2023 Department of Transportation
  9. An Energy-efficient and Self-diagnostic Portable Edge-Computing Platform for Traffic Monitoring and Safety

    SBC: CLR ANALYTICS INC            Topic: 23FH2

    Recent advances in technologies have shown great potential for widespread use of Artificial Intelligence (AI) techniques in real-time Intelligent Transportation Systems (ITS) applications. However, the massive amounts of data collected and generated from ITS sensors pose a major challenge in data processing and transmission. This requires a shift from centralized repositories and cloud computing t ...

    SBIR Phase I 2023 Department of Transportation
  10. Fiber-Optic Excavation Monitoring Sensor System

    SBC: INTELLISENSE SYSTEMS INC            Topic: 22PH3

    To address the DOT’s need for a new system to detect excavation damage and notify pipeline operators, Intellisense Systems, Inc., (Intellisense) proposes a new Fiber-Optic Excavation Monitoring Sensor (FOCOS) system based on phase-sensitive optical time-domain reflectometry (-OTDR), machine learning (ML) algorithms, and Internet of Things (IoT) communication. Specifically, the innovative impl ...

    SBIR Phase II 2023 Department of Transportation
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