You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. SWAT- Scalable W(R)ubber through Advanced Technology

    SBC: EnergyEne Inc.            Topic: ST18C001

    Opportunity: Guayule, a US native plant, is the only alternate rubber crop with an established, mechanized, agronomic system. Problem: Low rubber yields and lack of effective resin and bagasse coproduct valorization, have prevented widespread adoption by American farmers and processors. Rubber is only made when the cytoplasmic monomer pool (isopentenyl-pyrophosphate; IPP) is larger than that requi ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  2. Ultrahigh-Bandwidth Robust Performance Diagnostics for Rotating Detonation Engines

    SBC: SPECTRAL ENERGIES LLC            Topic: AF19AT011

    Spectral Energies proposes to design a multisensory diagnostic suite for measurements within elevated-pressure RDEs. This sensor will utilize tunable-laser absorption spectroscopy to measure temperature, pressure and H2O concentrations in the annulus of a rocket-RDE and background-oriented schlieren imaging system for flow density gradient imaging to provide time resolved information about the sho ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Virtual Reality for Multi-INT Deep Learning (VR-MDL)

    SBC: INFORMATION SYSTEMS LABORATORIES INC            Topic: AF19AT010

    Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. High Energy, Safe, and Long-Life Next Generation Batteries Using Liquefied Gas Electrolytes

    SBC: SOUTH 8 TECHNOLOGIES, INC.            Topic: AF19AT014

    The team at South 8 Technologies is the first to develop a novel and patented Liquefied Gas Electrolyte chemistry for rechargeable lithium metal batteries which meets these Air Force requirements. The proposed non-hazardous chemistry has already demonstrated world-record performance on the lithium metal anode (99.9% plating/stripping efficiency over hundreds of cycles) while maintaining high perfo ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. High Precision Remote Cardiopulmonary Monitoring through combined iPPG and Low Power Radar

    SBC: Cardiac Motion, LLC            Topic: AF19AT003

    Vital sign, such as respiration rate and heart rate, provide important indications of the physiological and mental conditions of an Airman. Being able to understand the physiological and mental conditions of an operator is therefore of vital importance to improving the efficiency and efficacy of future Air Force operations. Current state-of-the-practice in continuous cardiopulmonary vital sign mon ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Embedded Device Isolation for Trusted High-Assurance (EDITH)

    SBC: RAM LABORATORIES            Topic: AF19AT013

    Current techniques for supporting Multi-Level Security (MLS) on embedded devices rely on maintaining secure connections back to centralized servers or dedicated computers for managing authentication and access controls. To provide the embedded devices with the capability to handle content of differing security levels directly on device, the operating system (OS) must properly and securely isolate ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Toolset For Prediction of Carbon-Carbon Aeroshell Properties Based On Constituent Materials And Manufacturing Process Parameters

    SBC: ATA ENGINEERING, INC.            Topic: AF19AT021

    Carbon-carbon (C-C) composites are used in the fabrication of aeroshells and thermal protection systems (TPS) in hypersonic and atmospheric reentry applications because they maintain their strength at elevated temperatures and have desirable thermal conductivity properties. Although these materials have been used in mission-critical components for decades, the effects of variations in processing m ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Room Temperature Quantum Memory

    SBC: STREAMLINE AUTOMATION LLC            Topic: AF19BT001

    Quantum computer technology is so critical and strategic that the Air Force Research Laboratory is itself working on a quantum bit focused on the trapped ytterbium (Yb+) ion. The current technology based on entangling electrons, photons, or ions are challenging to put together in multiple qubits. To make a qubit stable, it is essential to protect it from outside interferences that can disrupt the ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Eliminating Ransomware Attacks with Program Access Control (PAC)

    SBC: MARC PEREZ            Topic: AF19BT001

    In the wake of ransomware reaching epidemic proportions and the current anti-ransomware products’ inability to stop its march, there is a great deal of urgency in creating effective countermeasures. Our proposal is to design and subsequently develop a technology called Program Access Control (PAC), that can positively protect data on both consumer and enterprise systems. If successfully dep ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. Photonic Integrated Circuit (PIC)-Enabled Chip-Scale Atomic Devices (CSAD) for Precision Navigation and Timing (PNT) Applications

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: AF19BT001

    Sensors based on chip-scale atomic devices (CSADs) offer portability, manufacturability, and high performance for precision navigation and timing (PNT) missions. Key systems for PNT including atom interferometric gyroscopes (AIG) and atomic clocks. Ongoing advances and innovations in photonic integrated circuits (PICs) are directly relevant to CSADs. Different material bases have been used in PICs ...

    STTR Phase I 2019 Department of DefenseAir Force
US Flag An Official Website of the United States Government