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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. Carbon NanotubeCopper Composite as Electron Emitter for Passive Spacecraft Discharging

    SBC: CFD RESEARCH CORPORATION            Topic: AF18AT011

    This SBIR project will develop and demonstrate efficient electron emitter based on carbon nanotubecopper (CNT-Cu) composite for passive discharging of spacecraft in plasma environment. A spacecraft moving through harsh plasma environment collects electrons, which leads to the spacecraft charging up to several kilovolts. High voltage between different parts of the spacecraft can ignite arcing, whic ...

    STTR Phase I 2018 Department of DefenseAir Force
  2. Integrated ultra-high performance electro-optic modulators

    SBC: SRICO INC            Topic: AF18AT003

    This proposed project combines advanced thin film materials engineering technology with state of the art photonic integrated circuit device concepts to develop next generation integrated electro-optic modulator devices. The proposed high speed thin film electro-optic modulator technology fills a critical need for compact, low voltage, and high analog bandwidth linear electro-optic modulators in si ...

    STTR Phase I 2018 Department of DefenseAir Force
  3. Tunable bioinspired spatially-varying random photonic crystals

    SBC: Electro Magnetic Applications, Inc.            Topic: AF19AT017

    Metamaterials and photonic crystals are engineered composites that exhibit novel and interesting properties not found using ordinary materials. They have been shown to allow extraordinary control over the electromagnetic field, including molding the flow of energy, amplitude profile of the field, phase of the waves, intermodal coupling, and more. To achieve such control, a set of tools and procedu ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Customizing Security for Diverse IoT Endpoints

    SBC: Samraksh Company, The            Topic: AF16AT10

    Endpoints in the Internet of Things (IoT) vary considerably in their hardware-software architecture and their functional capability. The IoT marketplace is unlikely to converge on a single or a few dominant endpoint platforms in the near term and potentially even long term future.This creates a major problem and an opportunity for securing IoT endpoints that are being increasingly integrated in cr ...

    STTR Phase I 2016 Department of DefenseAir Force
  5. High Temperature Materials for Hypersonic Radomes and Antennas

    SBC: AMERICAN TECHNICAL COATINGS, INC.            Topic: AF18AT013

    The advancement of flight vehicles, including hypersonic vehicles, requires increased performance from RF shielding material capable of withstanding the dynamic and thermal loads of the vehicle while maintaining RF performance.Efforts conducted as a response to this program will develop and characterize material for use as radomes and conformal apertures of flight vehicles and other extreme enviro ...

    STTR Phase I 2018 Department of DefenseAir Force
  6. Volumetric Wavefront Sensing for the Characterization of Distributed-Volume Aberrations

    SBC: Guidestar Optical Systems, Inc.            Topic: AF18AT006

    Modern Directed Energy (DE) missions require target engagements at low elevation angles and long ranges.These engagement geometries require propagation through distributed-volume turbulence. To correct for distributed-volume turbulence effects, an estimation of the turbulence along the propagation path is required. Correcting for these image aberrations will improve the quality of the target image ...

    STTR Phase I 2018 Department of DefenseAir Force
  7. CIM-MIAS (Cyber Information Management and Mission Impact Analysis System)

    SBC: MODUS OPERANDI, INC.            Topic: AF18CT002

    The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels i ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Anisotropic Property Manipulation of Selective Laser Melted GRCop-84

    SBC: SPECIAL AEROSPACE SERVICES            Topic: AF18AT009

    In partnership with the Colorado School of Mines Alliance for the Development of Additive Processing Technologies and with support from the Johns Hopkins University Energetic Research Group, Special Aerospace Services will provide the Air Force with characterization of fully dense Selective Laser Melted GRCop-84 subjected to a variety of manipulations that affect key performance metrics for regene ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. Stable High Bandwidth AO Control with physical DM constraints

    SBC: Guidestar Optical Systems, Inc.            Topic: AF18AT008

    Adaptive optics (AO) system performance is hindered by the mechanical limits of the deformable mirror (DM), namely stroke limits, interactuator stroke limits, and mechanical resonance.The nature of the multi-in multi-out (MIMO) control system does not lend itself well to notch filters to combat the mechanical resonances, and the stroke limits introduce non-linearities to the system.The traditional ...

    STTR Phase I 2018 Department of DefenseAir Force
  10. Application of Hierarchical Memory Models to Automatic Target Recognition Modeling and Simulation

    SBC: NOVATEUR RESEARCH SOLUTIONS LLC            Topic: AF18AT014

    This SBIR Phase I project proposes a visual processing system for automated target recognition. Inspired by biological vision systems and hierarchical memory models, the proposed system is capable of learning hierarchical invariant features from unlabeled data that are independent of object labels. The model exploits these learned features to create hierarchical representations of target memories ...

    STTR Phase I 2018 Department of DefenseAir Force
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