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Award Data
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.
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Visual Augmentation Systems (VAS) Range Finder
SBC: Maztech Industries LLC Topic: SOCOM234003IERUS 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 -
Visual Augmentation Systems (VAS) Range Finder
SBC: ATTOLLO ENGINEERING, LLC Topic: SOCOM234003Augmentation 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 -
Hokkien Low Density Language Capability
SBC: FEMTOSENSE, INC. Topic: SOCOM232002Femtosense 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 -
Hokkien Low Density Language Capability
SBC: TOYON RESEARCH CORPORATION Topic: SOCOM232002Toyon 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 -
An Energy-efficient and Self-diagnostic Portable Edge-Computing Platform for Traffic Monitoring and Safety
SBC: CLR ANALYTICS INC Topic: 23FH2Recent 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 -
Portable Ankle Instability Measurement System
SBC: NEXTGEN AERONAUTICS, INC. Topic: DHA231002Ankle sprains occur frequently with military personnel and in the general population. An early diagnosis of an ankle sprain is crucial to prevent the development of chronic ankle instability and to decrease the need for further intervention. A portable device that can be used to evaluate and quantify ankle instability in any setting (clinical, residential, field, etc.) by conducting a variety of t ...
SBIR Phase I 2023 Department of DefenseDefense Health Agency -
Topological Anomaly Detection
SBC: ADVANCED ONION, Inc. Topic: SOCOM224007We propose a study to assess the feasibility and efficacy of using graph/based analytics and Graph Neural Networks (GNN) to identify anomalous individual and organizational personas in financial transaction datasets. Currently, there is an urgent and expensive need to deny nefarious transnational state and non/state actors from accessing global financial systems, export/controlled technologies, cr ...
SBIR Phase I 2023 Department of DefenseSpecial Operations Command -
Dry Electrode Flight helmet Integrated Eeg System (DEFIES)
SBC: QUANTUM APPLIED SCIENCE & RESEARCH INC Topic: DHA222001Modern military aircraft have increased in system complexity and technical capabilities to the point that they are taxing the cognitive limits of their human operators. This presents a safety risk and can compromise mission outcomes. The DOD has implemented mitigations to reduce the incidence of Physiological Events (PE), but a recent surge in fatal military aircraft accidents is renewing the mi ...
SBIR Phase I 2022 Department of DefenseDefense Health Agency -
Flexible Armor Impact Measurement System
SBC: HEDGEFOG RESEARCH INC. Topic: DHA221004Development of effective body armor requires careful testing to ensure that the armor is fully capable of defeating ballistic threats within its protection class. While post-testing analysis can determine whether the armor successfully prevented ballistic penetration, the danger of blunt force trauma injuries due to displacement of the armor rear surface are far harder to assess with these methods ...
SBIR Phase I 2022 Department of DefenseDefense Health Agency -
Optimizing Demand for Transit with Blockchain-Enabled Commuter Support
SBC: RIGHT CLICK SOLUTIONS INC. Topic: 22FT3Optimizing 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 I 2022 Department of Transportation