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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. Circuit Integration for Robust Quantum Information Technology Scalability (CIRQuITS)

    SBC: VECTOR ATOMIC INC            Topic: A18BT014

    Vector Atomic and Stanford University will develop precision, ultra-low noise laser control electronics with low cost, size, weight, and power (C-SWaP). The electronics will be designed to broadly support the various laser types of used for quantum technology, which span 369-1550 nm. The C-SWaP and system architecture will support scaling of quantum systems to higher laser counts. The design will ...

    STTR Phase II 2020 Department of DefenseArmy
  2. Development of Precision Alignment Techniques for Millimeter Wave Sources

    SBC: DYMENSO LLC            Topic: N20AT013

    High power generation at millimeter wave (mm-wave) frequencies is expensive and the concurrent need for wide bandwidths at these frequencies creates an extremely challenging problem. Currently the most stringent requirements for mm-wave power and bandwidth can only be practically met by vacuum electronics (VE) technology. At present, vacuum amplifiers with the required performance are prohibitivel ...

    STTR Phase I 2020 Department of DefenseNavy
  3. Machine Learning for Simulation Environment

    SBC: Arete Associates            Topic: N20AT014

    Areté and the Machine Learning for Artificial Intelligence (MLAI) Lab at the University of Arizona (UofA) will develop an interactive scenario building tool capable of generating realistic synthetic 360° videos in real-time for use in training simulators for periscope operators .  We refer to this solution as RealSynth360.  This novel capability will be created by combining the latest advances ...

    STTR Phase I 2020 Department of DefenseNavy
  4. Dual Stage Integrated Cyclone (DSIC) Geometry for Sea Chest Water Management System

    SBC: MAINSTREAM ENGINEERING CORP            Topic: N20AT008

    Current Zumwalt Class destroyers (DDG 1000) sea chest openings are unique because they must be flush to the hull, limiting implementation of common sea chest designs (e.g., bubble shields or raised inlets). This design results in the ingestion of higher amounts of ice, debris, and air, resulting in increased maintenance costs, potential pump failure, and degraded overall cooling performance. The N ...

    STTR Phase I 2020 Department of DefenseNavy
  5. Membraneless Water Purification via Continuous, Self-Contained, Vacuum-Assisted Diffusiophoresis

    SBC: MAINSTREAM ENGINEERING CORP            Topic: A18BT005

    Our membraneless water purification system using continuous, self-contained, vacuum-assisted diffusiophoresis. Using diffusiophoresis allows the system to clean water contaminated with particulates and bacteria without membranes or filters, while producing a stream of fresh, drinkable water. The system will operate using only electricity supplied by portable batteries/solar cells or stationary gen ...

    STTR Phase II 2020 Department of DefenseArmy
  6. Carbon Nanotube Based Monolithic Millimeter-wave Integrated Circuits

    SBC: Carbonics, Inc.            Topic: A18BT004

    Carbonics, Inc. is the only small business entity that is razor-focused on developing and commercializing wafers-scale carbon nanotube (CNT) based RF products for mmWave communications that can outperform incumbent semiconductor high frequency technologies (GaAs & RF-CMOS). Our STTR Phase I accomplishments exceeded all expectations, setting a new world record for CNT FET RF technology (fT > 100 GH ...

    STTR Phase II 2020 Department of DefenseArmy
  7. Quantum Utilities for Integrated Characterization

    SBC: Quantum Benchmark Inc            Topic: A18BT011

    Quantum information processing has the potential to revolutionize the U.S. economy, with a potential market value of hundreds of billions of dollars for quantum-information based technologies in a wide variety of sectors, including pharmaceuticals, energy, transportation, and cyber security. A major obstacle to realizing this potential is overcoming the error-prone nature of quantum information, w ...

    STTR Phase II 2020 Department of DefenseArmy
  8. BioSENSE, for identification of allosteric transcription factor biosensors

    SBC: SYNVITROBIO, INC.            Topic: A18BT016

    There is a need to develop affordable and specific biosensors to defend against current and future biological threats. Biological methods of detection have been evolved by nature to detect molecules at the micro-scale with flexible specificity and with downstream effectors. Advances in cell-free technology allow for deployment of biosensors on pH-strip-type paper, an affordable, robust, disposable ...

    STTR Phase II 2020 Department of DefenseArmy
  9. Runnable Environment for Team Effectiveness and Assessment Metrics (re-TEAM)

    SBC: MODUS OPERANDI, INC.            Topic: A18BT008

    Modus Operandi and the Florida Institute for Human and Machine Cognition will continue development of the Runnable Environment for Team Effectiveness and Assessment Metrics (reTEAM) platform demonstrated in the Phase I effort by adding the social sensors and analytical capabilities required to drive scalable visualizations and a predictive outcome-based recommendation engine. The Phase II effort w ...

    STTR Phase II 2020 Department of DefenseArmy
  10. Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: N17AT016

    OKSI and Northwestern University propose to develop a single-image super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that combines learning-based and regularization-based approaches to produce extreme enhancement of low-resolution images. We will also develop a detector-limited imaging system specifically designed to be used with the SR methodology for which even higher levels ...

    STTR Phase II 2019 Department of DefenseNavy
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