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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. Automated Assessment of Urban Environment Degradation for Disaster Relief andReconstruction

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181004

    Toyon Research Corp. proposes development of a system that automates disaster assessment based on fusion of overhead and ground-basedimages, video, and other data. In Phase I, we will investigate various possible data sources and the benefits of fusing the data in automatedanalysis. We will select and curate data for processing in a Phase I feasibility study. Damage assessment will be performed in ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  2. Generalized Change Detection to Cue Regions of Interest

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181006

    Toyon Research Corporation proposes to research and develop algorithms for generalized change detection, by leveraging and exploringexisting and proven effective traditional and deep learning methods, with a unique 3D reconstruction component. The vast majority of themassive amounts of imagery data will have small pixel level differences due to a multitude of unimportant changes: minor misregistra ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  3. Improving Human Performance through Neuroenhancement

    SBC: REJUVENATE BIO INC            Topic: SOCOM182002

    Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  4. Guidance System for Autonomous Medium Caliber Munition

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: SOCOM182001

    OKSI will demonstrate autonomous operations concepts for self-guided munition with Fire-Before-Lock-On-Target capabilities and with obstacle avoidance and anti-defilade targets.We will assess the feasibility of implementing the technology in medium caliber munitions.

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  5. Dynamic Diver Breathing Gas Heat Recycler

    SBC: Tanner Research, Inc.            Topic: SOCOM182003

    Tanner proposes to develop a dynamic heat pump system with self-contained, rechargeable battery and driving circuit that operates as a Combination Thermal Recycler (CTR). By utilizing thermal reservoirs coupled with the rebreather mask, heat can be efficiently recycled in proportion to the temperature difference between the exhaled air stream and a target inhaled air temperature. No power would be ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  6. Diver Breathing Gas Re-heater for Closed Circuit Underwater Breathing Apparatus

    SBC: Sea Star, LLC            Topic: SOCOM182003

    The objective of this proposal is to develop a robust, lightweight and compact device for re-heating and maintaining the temperature of a divers inspired breathing gas when diving on a closed circuit underwater breathing apparatus for the duration of the dive. As a solution, Simuleer proposes to develop the Hybrid Energy Abiotic Thermoelectric (HEAT) system based on a high-power hybrid (i.e. passi ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  7. Munition Guidance Package for Use in a GPS and Laser Denied Environment

    SBC: TOYON RESEARCH CORPORATION            Topic: SOCOM182001

    Traditional munition guidance packages rely on the Global Positioning System (GPS) or laser designation technologies to target an operator defined location. However, if either of these systems cannot operate, whether they are being actively denied by the enemy or from harsh environmental conditions, the guidance package will fail to function as designed. Toyon Research Corporation proposes to crea ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  8. Rapid Acquisition Management Platform (RAMP)

    SBC: GURU TECHNOLOGY            Topic: SOCOM18004

    The Government current software development acquisition process takes months or years for technology to reach operational users. The process within the Department of Defense (DoD) is drastically more expensive than available options used in the commercial market space. GURU Technology will demonstrate feasibility of an innovative platform to: 1) drastically lower cost, 2) improve results, 3) signi ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  9. Feasibility Study for Development of a Military Tactical Spectacle with an Active Anti-fogging System

    SBC: TDA RESEARCH, INC.            Topic: SOCOM18003

    The military combat eye protection (MCEP) program is designed to protect our soldiers' eyes from the external threats of fragmentation, electromagnetic radiation, wind, dust, sand, etc. and greatly improve both safety and operational effectiveness. Goggles and spectacles on the Militarys authorized protective eyewear list (APEL), however, are only effective if the soldier is wearing them. Fogging ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  10. System for Nighttime and Low-Light Face Recognition

    SBC: Systems & Technology Research LLC            Topic: SOCOM18A001

    Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
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