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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. Fiber Optic Sensor System for Machinery Vibration Monitoring and Diagnosis

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: AF19CT008

    IFOS proposes an approach to developing an optical fiber Bragg grating (FBG)-based real-time instrumentation system for machinery vibration monitoring and diagnosis. IFOS’ key innovation is in the use of an advanced fiber optic sensing system that can make temperature and vibration measurements, with vibration signature identification and statistics tracking techniques for the assessment of ...

    STTR Phase I 2020 Department of DefenseAir Force
  2. 1um heterogeneously integrated transmitter for balanced links

    SBC: FREEDOM PHOTONICS LLC            Topic: N20BT030

    In this program, we propose to adapt a new, high-performance integration platform for RF photonics to operation at 1um, and to realize integrated optical transmitters that meet the requirements of the program.

    STTR Phase I 2020 Department of DefenseNavy
  3. Analog Optical Link using Novel Record Performance Laser, Modulator and Photodiode Technology

    SBC: FREEDOM PHOTONICS LLC            Topic: N20AT012

    In this program, Freedom Photonics and its research partner institution will demonstrate an analog optical link using novel record performance laser, modulator and photodiode technology. Preliminary designs for a miniature, deployable implementation will be conducted as well in Phase I.

    STTR Phase I 2020 Department of DefenseNavy
  4. Machine Learning for Transfer Learning for Periscopes

    SBC: Arete Associates            Topic: N20AT007

    Areté and the Machine Learning for Artificial Intelligence (MLAI) Lab at the University of Arizona (UofA) will develop and demonstrate new approaches that improve the performance of in situ machine learning (ML) algorithms as they evolve over time, adapt to new environments, and are capable of transferring their learned experiences across platforms.  Technological advances that will be brought t ...

    STTR Phase I 2020 Department of DefenseNavy
  5. Information Extraction for New Emerging Noisy User-generated Micro-Text

    SBC: INFERLINK CORP            Topic: AF19BT006

    Neural networks have proved highly effective at extracting information from text. However, noisy microtext has proved to be particularly difficult because low-level syntactic cues much less useful. In this project, we propose to explore ways of incorporating strong semantic, expectation-based models into a neural net architecture to improve performance on microtext extraction. In phase I, we will ...

    STTR Phase I 2020 Department of DefenseAir Force
  6. TIS: Trusted Sensor Integration

    SBC: Objectsecurity LLC            Topic: N20AT011

    Condition-based maintenance plus (CBM+), and cyber-physical systems (CPS) in general, depend on correct sensor data for analysis, decision making and control loops. If the sensor data that arrives at the point of processing is not correct, or more accurate, is outside its accepted error range, then any further processing will be incorrect as well. This could result in, in the case of CBM+, not det ...

    STTR Phase I 2020 Department of DefenseNavy
  7. Sparse Information Orbit Estimation for Proliferated LEO

    SBC: TAU TECHNOLOGIES LLC            Topic: HR001119S003522

    The current Space Surveillance Network (SSN) is projected to soon be unable to track all manmade Low Earth Orbit (LEO) objects at the current rate of observation. Very large constellations of satellites will exponentially grow the number of LEO objects, and simply adding more sensors to the SSN to keep pace with the proliferation in LEO is a cost-prohibitive proposition. This research proposes to ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  8. Adaptable Cyber Defense for Autonomous Air Operations

    SBC: OCEANIT LABORATORIES INC            Topic: AF19CT003

    In this Phase I SBIR, Oceanit will develop a novel, powerful, adaptable cyber defense capability to support autonomous Air Force weapons systems.

    STTR Phase I 2020 Department of DefenseAir Force
  9. Transfer Learning and Deep Transfer Learning for Military Applications

    SBC: Arete Associates            Topic: AF19CT004

    Aided Target Recognition (AiTR) algorithms augment human decision-making, but require a large database of labeled targets for training. Applied to new domains, these algorithms fail to transfer knowledge and require substantial retraining. Areté and University of Alabama Huntsville (UAH) propose the development of the Domain Extracted Feature Transfer (DEFT) Network to transfer knowledge from a ...

    STTR Phase I 2020 Department of DefenseAir Force
  10. Dynamic Bias APD Receiver Array

    SBC: NU-TREK, INC.            Topic: AF19CT006

    The program has two trusts: (1) Using dynamic biasing to address arbitrary pulse trains, such as would be present in LIDAR and other forms of EO/IR imaging and periodic pulse trains, such as in telecommunications; and (2) Developing an APD the meets program requirements such as a cutoff wavelength >1.6 m, low dark current, low excess noise and a >200 K operating temperature. In the proposed ...

    STTR Phase I 2020 Department of DefenseAir Force
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