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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. Optimization of Sodium Guide Star Return using Polarization and/or Modulation Control

    SBC: APPLIED OPTIMIZATION, INC.            Topic: AF19AT008

    The research objective of the proposed work is to increase the efficiency of the laser return of a Sodium Guide Star Laser (SGSL) reflected off the sodium layer for increased reliability and applicability of the artificial guide star technique. During Phase I, we will demonstrate the concept of maximizing the SGSL signal returns using numerical simulations that account for the effects of atmospher ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. Multisensor-Integrated Organ-on-a-Chip

    SBC: SPECTRAL ENERGIES LLC            Topic: AF19AT002

    The Air Force seeks three-dimensional bioprinted tissue that can accurately replicate complex multi-cell function and that can be integrated with biosensors. To address this need, Spectral Energies in collaboration with Prof. Khademhosseini of the University of California, Los Angeles (UCLA) proposes to develop an organ-on-a-chip system. The organ-on-a-chip system will be capable of accurately mod ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Space-Based Computational Hyperspectral Machine Vision using Compressed Sensing Neural Networks

    SBC: Kent Optronics, Inc.            Topic: AF19AT015

    In this STTR Phase I proposal, Kent Optronics (KOI) together with its partner, Rice University, propose to develop novel deep learning algorithms to perform machine vision tasks such as target recognition and tracking utilizing the direct measurements from a compressive hyperspectral imaging system. By skipping the hypercube reconstruction, this combination of hardware and software will allow real ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Vibration imaging for the characterization of extended, non-cooperative targets

    SBC: EXCITING TECHNOLOGY LLC            Topic: AF19AT006

    The imaging vibrometer development will be based on a representative Directed Energy (DE) aperture assumed to be 30 cm. This effort will provide both DE and Combat IDentification (CID), modes for relative short range DE operations, and an ISR Combat IDentification (CID) mode for operation at extended range. A combination of analytic derivations and wave optics simulations will be used to define a ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Vibration imaging for the characterization of extended, non-cooperative targets

    SBC: Guidestar Optical Systems, Inc.            Topic: AF19AT006

    Locating objects that vibrate is a way to discern potential threats and locate targets. However, current vibrometry technology typically measures only the global vibration of target and cannot create an extended spatial measurement of the vibration profile of the target. These solutions cannot identify what the target is, nor can they locate potential weak spots on the target, because they lack sp ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. STTR Phase I: SmartRun Monitor for Gait and Form Analytics

    SBC: Smart 3D Solutions LLC            Topic: BM

    This STTR Phase I project will scale up and characterize a new pressure sensor technology that has the potential to create an affordable, accessible shoe insert that accurately measures, stride-for-stride, an individual's gait (running or walking form) in real time and in the real world. Gait analysis is used in a wide variety of settings. However, the use of gait analysis to prevent injury, impro ...

    STTR Phase I 2019 National Science Foundation
  7. STTR Phase I: Self-Powering Textiles for Electronic Wearables

    SBC: CAPACITECH ENERGY INC            Topic: EW

    The broader impact/commercial potential of this Small Business Technology Transfer (STTR) project is the integration of energy conversion and energy storage technologies into a single ribbon called the Solar Supercapacitor (SolarCap). The innovative aspect of SolarCap technology is that it is a self-powering ribbon which can be weaved along with cotton fibers to make a fabric. Batteries are curren ...

    STTR Phase I 2019 National Science Foundation
  8. 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
  9. Tunable bioinspired spatially-varying random photonic crystals

    SBC: APPLIED OPTIMIZATION, INC.            Topic: AF19AT017

    The research objective is to develop a tunable spatially-varying photonic crystal (SVPC) to achieve the optical propagation properties (reflection and transmission) of the light through the designed structure for the visible and near IR-bands. The light from this SVPC will be able to focus and bend as a function of the spatial variation of the refractive index, input angle, and state of polarizati ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. Learner Engagement and Motivation to Learn Assessment and Monitoring System

    SBC: Design Interactive, Inc.            Topic: AF17AT009

    Training can now be delivered on a large scale through emerging platforms, but training must be engaging to be effectively utilized. Key to providing training that makes a difference in the field is an understanding of how to induce high levels of engagement during learning and the ability to objectively assess engagement in real-time so that interventions can be tailored during training to optimi ...

    STTR Phase II 2019 Department of DefenseAir Force
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