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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. Digital AI Secure Twin (DAST) System

    SBC: METRONOME SOFTWARE, LLC            Topic: DLA232004

    Digital twins mirror a real-world system to let designers and engineers examine in realistic detail how different conditions will affect it. However with their deployments, digital twins literally open their own cyberattack surfaces. Without cyber means of protection, digital twins can provide cyber criminals with a new way to access and exploit sensitive information. Another concern is that digit ...

    SBIR Phase I 2023 Department of DefenseDefense Logistics Agency
  4. Engaging the Manufacturing Industrial Base in Support of DLA’s Critical Supply Chains (DLA232-001)

    SBC: Beacon Industries, Inc.            Topic: DLA232001

    Coupling, Shaft is a mechanical component used to connect two rotating shafts together, allowing the transmission of power and torque. It helps to minimize the effects of misalignment, vibration, and shock and reduces the stress and wear on the connected shafts and their bearings. The Coupling, Shaft (NSN 3010-01-679-7883) listed in Small Business Innovation Program website is an aviation critical ...

    SBIR Phase I 2023 Department of DefenseDefense Logistics Agency
  5. Azimuth Telescope Reverse Engineering and Manufacturing Design

    SBC: NIELSON SCIENTIFIC LLC            Topic: DLA232001

    This project will result in a new supplier for a specific azimuth telescope that is a critical component in existing Department of Defense systems. Currently, there is no existing supplier for the azimuth telescope and there is no technical or engineering information available for the azimuth telescope that could be used by a new supplier to begin manufacturing the azimuth telescope. To address th ...

    SBIR Phase I 2023 Department of DefenseDefense Logistics Agency
  6. Precision Inventory for Distribution Center (PIDC) Using Battery-Free RFID Systems

    SBC: DIRAC SOLUTIONS, INC.            Topic: DLA232005

    To address the DLA need for an automated inventory system that integrates with DLA databases such as warehouse management system (WMS), and the warehouse execution system (WES), Dirac Solutions, Inc. proposes to develop a new Precision Inventory for Distribution Centers (PIDC). DSI’s proposed feasibility study for Precision Inventory for Distribution Centers (PIDC) leverages the experience gaine ...

    SBIR Phase I 2023 Department of DefenseDefense Logistics Agency
  7. 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
  8. 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
  9. 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
  10. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: KRTKL INC.            Topic: SOCOM23B001

    krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
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