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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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.

  1. ADEPT

    SBC: SOAR TECHNOLOGY INC            Topic: N21BT024

    The Naval Aviation Training Systems and Ranges program office (PMA-205) operates in data-rich information system environments, generating substantial volumes of data throughout its training and operational missions. These datasets can prove extremely useful in identifying performance trends of trainees or operational gaps in aviation assets. Due to sheer magnitude, sifting and analyzing of these d ...

    STTR Phase I 2021 Department of DefenseNavy
  2. Integrated Computational Materials Engineering (ICME) Modeling Tool for Optimum Gas Flow in Metal Additive Manufacturing Processes

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N21BT022

    Users of additive manufacturing machines expect the highest quality when it comes to the mechanical properties of parts, the usability of the machines and associated processes, and overall machine design. The main contributor to the quality of the part is the involvement of process-related by-products originating from the melting process. To handle these by-products in additive manufacturing - in ...

    STTR Phase I 2021 Department of DefenseNavy
  3. Tunable wideband optical phase to amplitude conversion in a monolithically assembled network

    SBC: FIBERTEK, INC.            Topic: N21BT019

    We propose a serially concatenated switchable asymmetric Mach Zehnder switching network on a silicon nitride photonic integrated circuit platform to provide flexible and switchable demodulation of signals from less than 1 GHz to greater than 45 GHz. The silicon nitride platform provides a low size weight and power solution while reducing the stabilization requirements and providing long path lengt ...

    STTR Phase I 2021 Department of DefenseNavy
  4. Innovative Method for Development of Hemp based Fabric

    SBC: Technology Holding, LLC            Topic: N21AT001

    Hemp-based clothing are excellent for outdoor active wear, due to high strength, UV-protective qualities, mold resistance, and excellent moisture absorption and desorption. While academic research on hemp-based textiles in the US is increasing, it has naturally also become an area of interest to competing countries. Specifically, China is outperforming the US in hemp fiber technological advanceme ...

    STTR Phase I 2021 Department of DefenseNavy
  5. Hatchable Solid State Transformer Rectifier Design through System Co-Optimization

    SBC: HEPBURN AND SONS LLC            Topic: N21BT020

    Hepburn and Sons LLC teamed with North Carolina State University (NCSU) proposes an analysis of alternatives (AoA) to design and optimize a megawatt class, solid state transformer rectifier (SSTR) supporting maintainability of U.S. Navy shipboard power infrastructure. The design will convert 13.8kV AC to +-850V DC with modular, line-replaceable units (LRUs) that are compact and lightweight such th ...

    STTR Phase I 2021 Department of DefenseNavy
  6. Ground Fault Detection and Localization for Low Voltage Alternating Current (LVAC) Shipboard Distribution Systems

    SBC: HEPBURN AND SONS LLC            Topic: N21AT005

    Hepburn and Sons LLC proposes to design a ground fault detection system for 440VAC three phase radial Navy shipboard power distribution, while teaming with their partner Florida State University, Center for Advanced Power Systems (FSU CAPS). Existing Navy ground fault detection systems can detect and locate single line to ground faults on a given phase, but a second ground fault on a separate phas ...

    STTR Phase I 2021 Department of DefenseNavy
  7. Algorithm Performance Evaluation with Low Sample Size

    SBC: Signature Research, Inc.            Topic: NGA20C001

    The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

    STTR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  8. Revitalization of Aircraft Carbon Fiber Composites in New Additively Manufactured Parts

    SBC: Nanosonic Inc.            Topic: N21AT002

    NanoSonic is a small, advanced materials company that specializes in the development and manufacturing of state-of-the-art structural composites that are not commercially available.  Here, NanoSonic shall produce aircraft composites using additive manufacturing (AM) techniques with a commercial scalable method for revitalizing carbon fiber reclaimed from end-of-life and aircraft composite scraps. ...

    STTR Phase I 2021 Department of DefenseNavy
  9. Navy Real-time Knowledge Sharing (RKS)

    SBC: Mari LLC            Topic: N21AT016

    MARi, LLC and Carnegie Mellon University are partnering to combine state of the art multimedia content tagging algorithms together with granular levels of task and Sailor analytics to ensure that knowledge objects can quickly move through a semi-automated, custom approval pathway - getting the latest and best information to the right person at the right time.  Knowledge sharing systems designed f ...

    STTR Phase I 2021 Department of DefenseNavy
  10. Chaotic resonators for low-SWaP integrated compressive sensing systems

    SBC: FIBERTEK, INC.            Topic: N21AT004

    We propose the novel approach of using chaotic micro-resonators on photonic integrated circuits to reduce the size, weight, and power (SWaP) and increase the stability of the random basis generation portion of a compressive sensing system with the goal of enabling a large bandwidth radio frequency (RF) receiver while reducing the requirements on data capture. Our proposed technical and programmati ...

    STTR Phase I 2021 Department of DefenseNavy
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