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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. High Power Density Structural Heat Spreader

    SBC: THERMAVANT TECHNOLOGIES LLC            Topic: AF151094

    This Sequential Phase II effort will demonstrate the micro-loop oscillating heat pipe heat spreader technology (m-Loop-OHP-HS) for solid state power amplifiers in a real-world spacecraft structure to advance its technology readiness level for near-term insertion into programs of record. Additionally, the m-Loop-OHP-HS technology will be prototyped in novel materials and form factors to create mult ...

    SBIR Phase II 2019 Department of DefenseAir Force
  2. A Novel, Nanostructured, Metal-Organic Frameworks-Based Pretreatment Technology for the Remediation of PFAS in Industrial Wastewater

    SBC: FRAMERGY INC            Topic: 18NCER1C

    Per- and polyflouralkyl substances, otherwise known as PFAS, are a large group of chemicals including perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS). These chemicals have a large variety of uses globally. Remediation of PFAS has gained importance due to their environmental persistence and toxicity. Water treatment methods must combine multiple strategies to be effective, as PF ...

    SBIR Phase I 2019 Environmental Protection Agency
  3. A Novel, Nanostructured, Metal-organic Frameworks-Based Product Loss Prevention Technology in the Oil and Natural Gas Sector

    SBC: FRAMERGY INC            Topic: 18NCERP2

    To reach the end user, oil and gas production at the wellhead must be transmitted through the country and distributed to a wide range of customers. This logisticalsystem requires natural gas gathering lines, processing facilities,product storage tanks and Jots of other equipment. What results is air pollution caused by industry losses during these operations and the use of continuous or intermitte ...

    SBIR Phase II 2019 Environmental Protection Agency
  4. Ruggedized Inertial Measurement Unit System to Assess Movement Dysfunction in Austere Environments

    SBC: APDM, INC.            Topic: DHA191010

    Current balance and gait assessment practices in field environments lack adequate sensitivity to measure subtle but potentially duty-limiting deficits in Service Member (SM) performance. Clinicians endeavor to provide timely, evidence-based assessment of

    SBIR Phase I 2019 Department of DefenseDefense Health Agency
  5. Advanced Manufacturing Technologies

    SBC: ONTO TECHNOLOGY, LLC            Topic: DLA152001

    This Phase II Small Business Innovation Research project develops the scale of lithium-ion direct recycling technologies applied to gain efficiencies in materials management from original manufacturing to end-of-life. The scrap materials are from Defense Logistics Agency manufacturing activities. A successful effort moves direct recycle TRL from 4 to 6, increases process throughput, qualifies mate ...

    SBIR Phase II 2019 Department of DefenseDefense Logistics Agency
  6. Radiation-Hardened Photon-Sensitive LADAR Camera

    SBC: VOXTEL, INC.            Topic: MDA18018

    To satisfy the need for a radiation-hardened, 1064-nm laser sensitive, single-photon sensitive ladar camera, with pixel counts of 128 x 128 or more, a proven single-photon linear-mode InGaAs(P)/InAlAs avalanche-photodiode (APD) detector will be integrated with low-noise ladar readout integrated circuits (ROICs), and its performance will be shown compatible with missile defense mission requirements ...

    SBIR Phase I 2019 Department of DefenseMissile Defense Agency
  7. High Power Density Source for Space Applications

    SBC: THERMAVANT TECHNOLOGIES LLC            Topic: MDA18020

    The proposed Phase I effort aims to develop a small satellite energy storage solution that enables high power density Li-ion cells to be emplaced in compact payload or bus modules without the thermal management risks imposed by status quo battery packaging technologies. The key feature proposed herein is a “passive and thermally-intelligent” but mechanically sound package structure built with ...

    SBIR Phase I 2019 Department of DefenseMissile Defense Agency
  8. Asynchronous Multi-transmitter Multi-aperture Synthetic 3D Imaging System

    SBC: VOXTEL, INC.            Topic: NGA183001

    Traditional active 3D imaging systems, such as airborne and terrestrial lidar scanners, use a transmitter and receiver typically co-located on the same platform and connected in synchronous communications. However, recent advances in laser, detector, and airborne systems technology have opened the door to smaller, higher-performance and significantly lower-cost airborne lidar systems in which it i ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  9. Improved still frames and denoised motion imagery from distressed full motion video (FMV)

    SBC: LICKENBROCK TECHNOLOGIES, INC.            Topic: NGA191004

    The National Geospatial Intelligence Agency (NGA) and other Department of Defense (DoD) agencies use geospatial intelligence (GEOINT) derived from motion imagery to support U.S. national security. Full motion video (FMV) captured from airborne platforms is subject to multiple distortions and noise due to atmospheric disturbance, obscuration (dust, haze, smoke, and mist), and transmission defects s ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  10. Collaborative Recommender System for Spatio-Temporal Intelligence Documents

    SBC: RAJI BASKARAN LLC            Topic: NGA191005

    NLP pipelines available today are getting robust for general language modeling purposes. But domain-specific data, abbreviations and lingos, and text about time or space still need a lot of tuning and training that are well beyond application of standard tool sets. Deep learning for recommendation engines is quite new, and all recommender systems, in particular for specially trained users, tend to ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
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