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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. Self-Sustaining Crop Production Unit

    SBC: FREIGHT FARMS, INC.            Topic: T604

    NASA's goals to explore deep space through manned missions requires development of self-sustaining life support systems. A diverse team from Freight Farms, Inc. have partnered with Clemson University to merge knowledge of sustainable farming with engineering expertise to create off-grid infrastructure for self-sustaining plant life that will assist NASA with their goals. Freight Farms' current pro ...

    STTR Phase I 2016 National Aeronautics and Space Administration
  2. Spacecraft Swarm Coordination and Planning Tool

    SBC: AURORA FLIGHT SCIENCES CORPORATION            Topic: T403

    Fractionated spacecraft architectures to distribute mission performance from a single, monolithic satellite across large number of smaller spacecraft, for missions like close proximity inspection, sparse aperture arrays, robotic assembly, servicing, refueling, etc., can enable higher mission capability, reconfigurability and robustness. This distributed satellite architecture, with large numbers o ...

    STTR Phase I 2016 National Aeronautics and Space Administration
  3. AstroCube: An Asteroid Prospecting CubeSat Mission

    SBC: BUSEK CO., INC.            Topic: T402

    Busek, in partnership with Arizona State University (ASU), proposes to develop a robotic resource prospecting mission to a near-Earth asteroid using a 6U CubeSat, nicknamed "AstroCube". This ambitious mission is enabled by Busek's iodine-fueled BIT-3 RF ion propulsion system that can deliver ~1mN of thrust and ~2200sec of total Isp with 65W nominal input power. With 1.6kg of solid iodine propell ...

    STTR Phase I 2016 National Aeronautics and Space Administration
  4. The Small Mixed Field Autonomous Radiation Tracker (SMART) Dosimeter

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: T602

    Active dosimeters for astronauts and space weather monitors are critical tools for mitigating radiation induced health issues or system failure on capital equipment. Commercial spaceflight, deep space flight, and satellites require smarter, smaller, and lower power dosimeters. There are a number of instruments with flight heritage, yet as identified in NASA's roadmaps, this technology does not l ...

    STTR Phase I 2016 National Aeronautics and Space Administration
  5. Low-Cost, Scalable, Hybrid Launch Propulsion Technology

    SBC: PHYSICAL SCIENCES INC.            Topic: T101

    Physical Sciences Inc. (PSI), in collaboration Purdue University, proposes to develop a novel launch propulsion technology for rapid insertion of nano/micro satellites (~ 5-50 kg scale) into low earth orbit, with the potential to lower the current state-of-the-art launch stage cost by a factor of two. The technology employs a propulsion scheme comprising a storable liquid oxidizer and a unique sol ...

    STTR Phase I 2016 National Aeronautics and Space Administration
  6. Compact Laser for In-Situ Compositional Analysis

    SBC: Q-PEAK INCORPORATED            Topic: T801

    In response to NASA?s solicitation for light-weight and power efficient instruments that enable in situ compositional analysis, Q-Peak in partnership with the University of Hawaii proposes to develop a compact, robust, and efficient instrument to combine all laser based spectroscopies capable of performing imaging, Raman, Laser Induced Breakdown, Laser Induced Fluorescence and LIDAR The main adva ...

    STTR Phase II 2016 National Aeronautics and Space Administration
  7. Deep Inference and Fusion Framework Utilizing Supporting Evidence (DIFFUSE)

    SBC: BOSTON FUSION CORP            Topic: MDA15T001

    Combining information from disparate sensors can lead to better situational awareness and improved inference performance; unfortunately, traditional multi-sensor fusion cannot capture complex dependencies among different objects in a scene, nor can it exploit context to further boost performance. Integrating context information within a fusion architecture to reason cohesively about scenes of inte ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  8. Real-Time Health Management Portable Sensor for Solid Rocket Motors

    SBC: PHYSICAL SCIENCES INC.            Topic: MDA14T004

    Physical Sciences Inc. (PSI) proposes to design, develop, and demonstrate a portable, non-invasive, real-time sensor to assess the chemical and physical health of solid rocket motors as a function of age without affecting the motors integrity nor having direct contact with the propellant. In Phase II, a sensor to monitor specific gas species that are markers of the chemical and mechanical aging pr ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  9. Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: MDA13T001

    Missile defense takes place in an uncertain and dynamic environment, so multi-sensor fusion must be employed to aggregate and merge disparate data from the battlefield. However, the fusion process is hindered by the vast amount of uncertainty in operational contexts, such as imprecise measurements and varying environmental conditions. Various algorithms and fusion processes have been developed to ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  10. Uncertainty Characterization Using Copulas (UC)2

    SBC: BOSTON FUSION CORP            Topic: MDA13T001

    Boston Fusion, together with our teammate Syracuse University, propose a program of research and development, namely Uncertainty Characterization Using Copulas, which will lead to a parametric framework based on the statistical theory of copulas for modeling uncertainties in a centralized fusion architecture for the problem of target classification for ballistic missile defense applications. This ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
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