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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.

  1. Cybersecurity for Standalone Airgap Systems

    SBC: SIEGE TECHNOLOGIES, LLC            Topic: AF191049

    WriteWarden provides full-time, in-situ data device protection, allowing selected permitted and verified writes to occur to the device, while reliably performing hardware-enforced, full write-protection at all other times. In all instances of unverified writes, WriteWarden is designed to fail safe, prohibiting all modification to the data storage media though not only software assurances, but also ...

    SBIR Phase I 2019 Department of DefenseAir Force
  2. Transparent Polyurethane Nanocomposite for Next-Generation Bird Strike Protection

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: AF191066

    Bird strike collisions pose a serious hazard for civilian and military aircraft. Air Force rotorcraft, such as the HH-60G Pavehawk, are increasingly susceptible due to their low altitude operation, frequent take-offs and landings, and operation in remote areas. Front facing windscreens are the most vulnerable part of rotorcraft as bird impact can cause windscreen penetration and catastrophic colli ...

    SBIR Phase I 2019 Department of DefenseAir Force
  3. Rotary Platform Windscreen Transparency for Bird Strike Protection

    SBC: INTER MATERIALS, LLC            Topic: AF191066

    Some of the Air Force’s greatest concerns are to provide the H-60 rotary platform with full protection against bird strikes with no increase in weight and thickness. INTER Materials is in a unique position to assist the Air Force with the development of a lighter weight concept that provides enhanced bird strike protection to the H-60 helicopter windscreens, is shatterproof and withstands a ...

    SBIR Phase I 2019 Department of DefenseAir Force
  4. Autonomous Decision Making via Hierarchical Brain Emulation-- 19-009

    SBC: METRON INCORPORATED            Topic: AF19AT009

    The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Open Call for Innovative Defense-Related Dual-Purpose Technologies/Solutions with a Clear Air Force Stakeholder Need

    SBC: ELDER RESEARCH, INC.            Topic: AF192001

    Active Duty Dental Readiness (ADDR) is a major issue for the Air Force and the wider DoD. Dental conditions can render a soldier non-deployable, and cause soldiers to lose an average of three days of duty each time they need dental care. We want to take a leading teledentistry platform, and modify it using our Artificial Intelligence and Machine Learning (AI/ML) expertise to produce a significant ...

    SBIR Phase I 2019 Department of DefenseAir Force
  6. Pilot Breathing Air Sampling and Inspection System (BASIS)

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: AF191016

    In February 2018 the 19th Air Force grounded all T-6 Texan II trainer aircraft after multiple reports of pilots experiencing Unexplained Physiological Events (UPE) during flight operation. To quickly resolve the problem, the Air Force created and deployed a breathing air quality monitoring system, enabling clearance of multiple F-35 and T-6 aircraft from the “groundedâ€Â status; howeve ...

    SBIR Phase I 2019 Department of DefenseAir Force
  7. Open Call for Innovative Defense-Related Dual-Purpose Technologies/Solutions with a Clear Air Force Stakeholder Need

    SBC: LLVR SYSTEMS LLC            Topic: AF192001

    Construct a software platform that allows foreign language Instructors to custom-build virtual reality training environments for their students' unique mission requirements. The SaaS platform will connect databases of 3 dimensional Virtual Entities (avatars, objects, virtual environments, text documents, audio files, video files) that are accessible to end-user curriculum designers for their use. ...

    SBIR Phase I 2019 Department of DefenseAir Force
  8. FOCUS AREA 3- Joint Strike Fighter Pitch Day: AI, ML, and Data Analytics

    SBC: NNDATA CORPORATION            Topic: AF192001

    The C3 Platform is a proven, scalable, and production-ready commercial enterprise software platform for developing and operating big data, predictive and prescriptive analytics, and IoT use cases including predictive maintenance, logistics and potential applicability to multi-domain command & control (MDC2). The C3 Platform uses a unique technology-independent model-driven architecture pervasive a ...

    SBIR Phase I 2019 Department of DefenseAir Force
  9. Open Call for Innovative Defense-Related Dual-Purpose Technologies/Solutions with a Clear Air Force Stakeholder Need

    SBC: DEEPSIG INC.            Topic: AF192001

    Applying AI to signals problems has been proven out through OmniSIG, a tool that detects and classifies RF signals within milliseconds using deep learning technology. This SBIR proposes using multiple antennas and similar AI-based methods to determine the azimuth of the signal of interest emission point. The addition of a high confidence azimuth, in addition to the signal type, provides a powerful ...

    SBIR Phase I 2019 Department of DefenseAir Force
  10. Distributed Deep Learning and Sensing

    SBC: INTELLIGENT MODELS PLUS INC.            Topic: AF191062

    Compared to current practices of today’s processing, exploitation, and dissemination (PED) cycles for fusing the outputs of single-sensor-processing chains during the feature- or decision-level fusion tasks, combining modalities at the data level to learn the target-signatures offers an opportunity to utilize the mutual information among the raw signals generated by the same target. Hence, ...

    SBIR Phase I 2019 Department of DefenseAir Force
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