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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. Cognitive Computing Application for Defense Contracting

    SBC: Applied Research In Acoustics LLC            Topic: AF151194

    MICA was selected and awarded to ARiA under SBIR Topic AF151-194, technically managed by AFRL/RITB with SAF/AQ-OTI as the sponsor organization. Under prior Phase I and II SBIR efforts ARiA developed, trained, and tested the Machine Interface for Contracting Assistance (MICA). MICA leverages academic and commercial-sector advances in cognitive-computing, deep learning, graph storage, informational ...

    SBIR Phase II 2019 Department of DefenseAir Force
  2. SBIR Phase I: Using big data, AI, and machine learning in gender equality and social inclusion analysis

    SBC: Equilo Inc.            Topic: IT

    The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to enable economic development aid organizations to plan, implement, measure, and achieve better gender equality and social inclusion outcomes. Gender equality is recognized as an important factor in catalyzing development and lifting communities out of poverty. Empowered women contribute t ...

    SBIR Phase I 2019 National Science Foundation
  3. SBIR Phase I: Machine Learning Driven Synthetic Sensor for Plant Water Stress

    SBC: Aquasys LLC            Topic: CT

    The broader impact/commercial potential of this Small Business Innovation Research (SBIR) project is to increase yields and save irrigation water and costs for farmers of perennial crops and high intensity annual crops. In order to maximize yields while simultaneously minimizing irrigation water usage, farmers need to understand, predict, and manage plant water stress, which is the yield reducing ...

    SBIR Phase I 2019 National Science Foundation
  4. SBIR Phase I: General-Purpose Software for Collaborative End-User Database Management

    SBC: ULTORG INC.            Topic: IT

    The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be to make organizations more productive by helping them organize operational data in a structured yet accessible way. Today, organizations tend to accumulate such data in spreadsheets, scattered across users and folders, with new copies and revisions being made every time data must be pr ...

    SBIR Phase I 2019 National Science Foundation
  5. X-DSMSND: A Dual-Sided Microstructured Semiconductor Neutron Detector with Integrated Pixel Read-Out

    SBC: RADIATION DETECTION TECHNOLOGIES, INC.            Topic: 17b

    There is a need for compact, high-efficiency, and high spacial-resolution neutron scattering imagers. Improvements in neutron detectors for use at high-flux pulsed neutron sources are required for materials research involving neutron scattering experiments conducted at Department of Energy (DOE) laboratories, including single crystal diffractometers, neutron reflectometers, and time of flight (TOF ...

    STTR Phase I 2019 Department of Energy
  6. Cyber Security Detection at the Edge of the Grid

    SBC: Athena Power, Inc.            Topic: 01b

    Cyber hacking of critical infrastructure is a concern for our national security, especially in the power/electric utility sector where utilities loose $13.2M per attack. Given the vulnerabilities within the value-chain of electric delivery, the distribution network is an enormous blind-spot and highly susceptible to cyber intrusion. This project looks to address this issue, as sought by the DoE, b ...

    SBIR Phase I 2019 Department of Energy
  7. Commercialization of the Rapid-Production Growth Method for Affordable Cadmium Zinc Telluride (CZT) Semiconductor

    SBC: RADIATION DETECTION TECHNOLOGIES, INC.            Topic: 04d

    Reduction of the reliance of high-activity commercial and industrial radioactive sources is a nonproliferation goal. The Office of Proliferation Detection is interested in developing replacements for radiological sources to promote the adoption of non-radioisotopic alternative technologies where technically, operationally, and economically feasible. The goal of the DOE in reduction of the reliance ...

    SBIR Phase I 2019 Department of Energy
  8. Synoptic Approach to Harmonize Discrete Data Streams in Application Development

    SBC: IT WORKS! INC.            Topic: 180NH1

    Research conducted in Phase I identified a range of data sources providing vehicle related information to consumers shopping around or interested in knowing more about vehicles. Majority of the commercial data sources focused on vehicle features, new/used/CPO pricing, and vehicles listings. Such data sources lacked safety as their central focus, which is a concern for U.S. Department of Transporta ...

    SBIR Phase II 2019 Department of Transportation
  9. Planetary-Scale Surface Feature Detection and Mapping for Future Exploration Missions

    SBC: New Rights Group, Inc.            Topic: T4

    Accurate navigation is a crucial part of both robotic and crewed exploration of other worlds. For missions to the surfaces of Mars and the Moon, mission planners will require increasingly autonomous guidance systems that support fast, efficient, and agile surface route planning. These navigation systems will rely on access to accurate and regularly updated maps of surface landmarks. In a recent pi ...

    STTR Phase I 2019 National Aeronautics and Space Administration
  10. Evolving and Certifiable Autopilot for Unmanned Aerial Systems

    SBC: DESIGN ANALYSIS & RESEARCH CORP            Topic: A2

    An intelligent flight control system is developed with learning capabilities and a high degree of assurance that can be certified by the FAA and tested on a modular reconfigurable UAS.nbsp; Existing lack of intelligence, adaptability and high performance of current automatic flight controllers is addressed by taking advantage of high-performance computing platforms, state-of-the-art machine learni ...

    SBIR Phase II 2019 National Aeronautics and Space Administration
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