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Award Data

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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.

Displaying 1 - 10 of 5343 results
  1. Open Call for Innovative Defense-Related Dual-Purpose Technologies/Solutions with a Clear Air Force Stakeholder Need

    SBC: HEDRON SPACE INC.            Topic: AF183005

    Analytical Space is developing a LEO-based hybrid RF-optical data-relay network to augment satellite communications capabilities. Such a network would increase the amount of remote sensing data that can be offloaded and reduce latency from image acquisition to terrestrial reception and analysis. It accomplishes this by forwarding the data through a relay network of ASI satellites for downlink to a ...

    SBIR Phase II 2019 Department of DefenseAir Force
  2. Pison ENDER System: Effectively Navigating Drones for Enhanced Reconnaissance

    SBC: PISON TECHNOLOGY INC            Topic: AF191005

    Pison is a human performance optimization company providing a wearable neuromuscular sensor that enables gesture-based control for electronic devices. Our interface platform can be integrated with existing systems for drone navigation and operational task-management. We are creating new capabilities for operators to point and select drone units in-air (physical or virtual), receive confirmation of ...

    SBIR Phase II 2019 Department of DefenseAir Force
  3. Direct to Phase II Open Topic: Open Call for Innovative Defense-Related Dual-Purpose Technologies/Solutions with a Clear Air Force Stakeholder Need

    SBC: MERLIN LABS INC            Topic: AF192D001

    Apollo is building a cloud-based operating system that enables traditionally manned aircraft to fly unmanned and autonomously in a variety of airspace, and from nearly any airport. Apollo leverages edge computing and artificial intelligence to provide an innovative, software-first approach to aircraft autonomy. Apollo’s technology has substantial commercial application and we are currently ...

    SBIR Phase II 2019 Department of DefenseAir Force
  4. Proposal for IRIS Software Suite

    SBC: OUTERLINK CORP            Topic: AF203DCSO1

    The Outerlink IRIS system is a commercially successful, real-time flight data processing system that includes a satellite-based data link. The system records voice, video, and aircraft flight data while at the same time Interrogating the data for informat

    SBIR Phase II 2023 Department of DefenseAir Force
  5. A Novel Coverglass System with Enhanced Radiation Resistance

    SBC: Infoscitex Corporation            Topic: AF04029

    The Foster-Miller team is developing a novel coverglass system that protects photovoltaic cells on space power systems that are exposed to high doses of ionizing radiation. The spectrum of radiation a solar cell is exposed to not only provides usable energy, over time it also reduces the efficiency of the cell by darkening the barrier coverglass, escalates the operating temperature, and deteriora ...

    SBIR Phase II 2005 Department of DefenseAir Force
  6. Mold-in-Place Coatings

    SBC: CUMING MICROWAVE CORP.            Topic: AF081C042

    Many airborne vehicles require thick polymeric coatings on complex, concave and convex surfaces, which may be metallic, composite, or ceramic. The common method for applying these coatings involves spraying many individual layers, and allowing solvent flash and drying between each layer. A coating which is built up to 0.250” thickness, may require more than 100 layers of sprayed on coatings. Thi ...

    SBIR Phase II 2009 Department of DefenseAir Force
  7. Integrated Zonal Meniscus Mirror Technology

    SBC: Xinetics, Inc.            Topic: N/A

    The Proposed Phase II SBIR will develop and demonstrate an innovative approach to produce ultra-lightweight, active, segmented primary mirrors for beam directors and imaging telescopes. Named the Integrated Zonal Meniscus Mirror, it combines thedesireable materials properties of a silicon carbide substrate with electroactive actuators and sensors, and application specific integrated circuits imbe ...

    SBIR Phase II 2003 Department of DefenseMissile Defense Agency
  8. Sensor Fusion Modeling to Support Combat Identification

    SBC: AERODYNE RESEARCH INC            Topic: N/A

    The process of designing and evaluating advanced aircraft coatings can be made more efficient, more robust, and less expensive through application of highly accurate and flexible computer models. The General Scattered Light (GSL) model is such a signature analysis tool, but its potential is difficult to access by untrained or infrequent users, seriously limiting its value. We propose to overcome t ...

    SBIR Phase II 1995 Department of DefenseAir Force
  9. ENHANCING MOTION IMAGERY CLASSIFIERS BY PRINCIPAL COMPONENT FEATURE CLUSTERING

    SBC: LONGSHORTWAY INC.            Topic: AF15AT35

    LongShortWay Inc. and Northeastern University propose a family of feature reduction and ensemble classifier methods based on Principal Component and Dynamic Logic feature clustering algorithms. New methods combine feature clustering with non-linear feature reduction via manifold learning, and bagging, boosting, and stacking ensemble algorithms.

    STTR Phase II 2016 Department of DefenseAir Force
  10. VAMAV: Visual Collision Detection and Avoidance for a Micro Air Vehicle

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: AF06149

    This proposal presents the VAMAV system (Visual Awareness/Avoidance for a Micro Air Vehicle) for monocular visual collision detection and avoidance. Real time collision detection will be implemented using a time-to-collision approach based on area moment estimates of expansion from globally optimal image segmentation. This approach does not require explicit optical flow computations, and avoids n ...

    SBIR Phase II 2007 Department of DefenseAir Force
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