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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. SHAPE-BASED GENERALIZATION BOUNDS FOR DEEP LEARNING

    SBC: GEOMETRIC DATA ANALYTICS INC.            Topic: NGA20A001

    We propose to develop a theoretical understanding of the relationship between intrinsic geometric structure in both training and latent data and characteristics of functions learned from that data for deep neural network (DNN) architectures. Along the way we propose to also understand the structure of the neural networks that are best trained on a given data set. Both of these theories will lead t ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  2. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  3. Transportable Rugged Crystalline Silicon Reference (TRuCR)

    SBC: AOSENSE, INC.            Topic: AF20AT001

    Crystalline silicon cavities serve as ultralow-phase-noise optical local oscillators for optical atomic frequency standards and can support the realization of optical timescales.  While a JILA/PTB team has built and tested several silicon cavities over the past decade, similar cavities are not readily available to other potential users.  We propose to combine AOSense’s expertise in laser-frequ ...

    STTR Phase I 2020 Department of DefenseAir Force
  4. Low-Power Microwave Oscillator (LMO)

    SBC: AOSENSE, INC.            Topic: AF20AT001

    High-performance microwave atomic clocks have broad applications, both for military and civilian uses.  A low-phase-noise microwave frequency oscillator/synthesizer is necessary to ensure the high performance of these microwave clocks.  A power-hungry conventional low-phase-noise microwave frequency oscillator/synthesizer circuit usually limits the reduction of the power consumption in these ato ...

    STTR Phase I 2020 Department of DefenseAir Force
  5. SiN-based heterogeneous PIC platform around 670 nm

    SBC: NEXUS PHOTONICS INC            Topic: AF20AT002

    We propose to develop an atomically referenced visible spectroscopy-grade PIC laser operating at 671 nm which will provide a visible PIC-based oscillator with absolute atomically referenced frequency stability at a part per billion level.

    STTR Phase I 2020 Department of DefenseAir Force
  6. Innovative Hybrid Atomic-Optical Ultra-Precise Inertial Sensing for Space Applications

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: AF20AT002

    Space is the ultimate GPS-denied environment and requires novel approaches to precision navigation. Open-loop fiber-optic gyroscopes (FOG) enable large bandwidth and dynamic range with low noise. Emerging atom interferometric gyros (AIG) provide extremely high long-term stability and accuracy, but have limited bandwidth due to minimum required atom interaction durations. Combining these two techno ...

    STTR Phase I 2020 Department of DefenseAir Force
  7. Novel Semiconductor Driven Three-Photon Rydberg Antenna

    SBC: FREEDOM PHOTONICS LLC            Topic: AF20AT002

    A novel approach to a RF sensor is proposed. This RF sensor leverages the quantum properties of atoms to detect RF signals over a wide bandwidth, independent of the physical size of the receiver. This can significantly reduce size, weight and power consumption of communication equipment. Freedom Photonics has consistently demonstrated world class performance laser products that are critical to the ...

    STTR Phase I 2020 Department of DefenseAir Force
  8. Fiber-laser-based Mobile Atomic Sensor (FIMAS)

    SBC: AOSENSE, INC.            Topic: AF20AT002

    Environmental structures of interest like mountains, tunnels, and deposits of minerals, oil or gas produce distortions in the local gravitational field. Sensing gravity anomalies and comparing them to a gravity map can provide positioning immune to the drift of purely inertial navigation systems. Existing gradiometers with sufficient sensitivity are large and heavy, requiring manned aircraft and h ...

    STTR Phase I 2020 Department of DefenseAir Force
  9. Integrated Photonic Quantum Frequency Processor for High-Dimensional QIP

    SBC: FREEDOM PHOTONICS LLC            Topic: AF20AT003

    To formulate the ultimate quantum computer, it is likely the case that several technologies will be combined in a hybrid fashion, in which dissimilar and physically separated qubits are joined via universal quantum interconnects – a network dubbed the “quantum internet”. Quantum information processing in the photonic domain allows for information to transmitted over appreciable distances, op ...

    STTR Phase I 2020 Department of DefenseAir Force
  10. LOQI: Leveraging Optimization using Quantum-devices for Internet-security

    SBC: QC WARE CORP.            Topic: AF20AT003

    The Leveraging Optimization via Quantum-devices for Internet-security (LOQI) proposal aims to demonstrate the power of hybrid (quantum/classical) optimization approaches for classes of combinatorial optimization problems that are relevant to several cyber-security settings. In Phase 1 (this proposal) we will conduct a feasibility study to develop an analytical framework and algorithms, and prototy ...

    STTR Phase I 2020 Department of DefenseAir Force
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