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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. Aberration-correcting Topologically Optimized Metasurface (ATOM)

    SBC: Physical Sciences Inc.            Topic: HR001119S003524

    Metalenses, with their ability to arbitrarily control the amplitude and phase of light across a band of wavelengths, have the potential to disrupt imaging and communication systems which rely on traditional lenses to focus, collimate, and otherwise manipulate optical signals, and are under increasing pressure to operate with reduced size and weight. We propose to design, develop, and demonstrate a ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  2. aSAM: An adaptive Simple Acoustic Modem

    SBC: DESERT STAR SYSTEMS, LLC            Topic: HR001120S001906

    Underwater Acoustic Modems (UW-A) have seen significant R&D and commercial product introductions in recent years. Standards including JANUS (NATO) and JSATS (USACE), have emerged.  Yet, interoperability remains limited due to the generally proprietary nature of commercial products, the complexity and vulnerability of high bandwidth options, and high costs/size/power consumption limiting modem use ...

    SBIR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  3. Automating tilt and roll in ground-based photos and video frames

    SBC: INTERNATIONAL ASSOCIATION OF VIRTUAL ORGANIZATIONS, INCORPORATED            Topic: NGA201006

    NGA seeks an innovation to fully automate processes that recover camera orientation parameters, specifically for ground-based “photo” (aka image) and video frame use cases. The ability to use these ground-based systems represents an enhanced aspect to traditional photogrammetry, and in many regards, folding in hand-held systems, and considering the nuances associated with these collects, is ye ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  4. 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
  5. BubbleSpoof- Expeditionary Maritime Mine Countermeasures

    SBC: FTL Labs Corporation            Topic: HR001119S003509

    The current state of practice for maritime Mine Countermeasures (MCM) involves cumbersome, expensive, and slow processes, often involving manned assets in the vicinity of potentially mined waters. Expendable UUV’s enable the delivery of MCM capabilities at a closer proximity to a mine than traditional sweeping systems, potentially allowing lower power output, significant reductions in cost, and ...

    SBIR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  6. CHAracterization of Intrinsic Novelty (CHAIN)

    SBC: Geometric Data Analytics            Topic: HR001119S003507

    This proposal outlines a proposed mathematical framework for the detection of and adaptation to novelty in online AI systems. This framework is founded on two existing theories in which GDA personnel have particular talents: shape analytics and reinforcement learning. Phase I is dedicated to performing the research necessary to develop this framework. Phase II would involve developing the algorith ...

    SBIR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  7. Continuum Actuated Redundant Tendon Robots

    SBC: Opterus Research and Development, Inc.            Topic: HR001119S003523

    Opterus Research and Development, Inc. (Opterus) and Colorado State University (CSU) have combined the best features of high strain composites (HSC), continuum robots, and tendon actuated robots to develop a new concept called Continuum Actuated Redundant Tendon (CART) Robot to enable self-reconfigurable modular robots that can perform various tasks (e.g., walking, crawling, wheeling, and grasping ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  8. DeepVerify- Deep neural-net verification framework with provable guarantees

    SBC: Quantum Ventura, Inc.            Topic: HR001119S003507

    DeepVerify is a suite of tools to verify and certify robustness of different types of AI applications with a specific focus on currently popular neural networks such as deep CNN, reinforcement learning, recurring neural networks. However, our tools can be deployed on other types of AI/ML frameworks as well. Upon automated in-depth assessment of AI applications and exploration of input data space a ...

    SBIR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  9. Distributed Pressure Sensing System for Hypersonic Environments using Optical Fiber Technology

    SBC: optoXense, Inc.            Topic: HR001119S003501

    Hypersonic vehicles will be flying in conditions that subject their structure and propulsion systems to harsh environments not previously seen by other aircraft. Conventional instruments cannot survive in these extreme environments and do not provide reliable data. optoXense proposes to design and develop a new pressure measurement system that will survive harsh (2000psi, 1800°C) hypersonic envir ...

    SBIR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  10. Expeditionary Maritime Mine Countermeasures

    SBC: Corvid Technologies LLC            Topic: HR001119S003509

    DARPA is seeking to miniaturize maritime mine countermeasure (MCM) sweep systems for incorporation into predefined unmanned underwater vehicles (UUV) payload volumes. This solution will address the currently cumbersome, expensive, and slow approach to mine influence sweeping operations. Corvid Technologies proposes to utilize our established simulation-based design and optimization process to deve ...

    SBIR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
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