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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. Stable High Bandwidth AO Control with physical DM constraints

    SBC: Guidestar Optical Systems, Inc.            Topic: AF18AT008

    Adaptive optics (AO) can compensate for the aberrating effects of atmospheric turbulence which degrade the performance of high energy laser (HEL) weapon systems and, as such, is an enabling technology for effective deployment of HEL weapon systems. A key component in an HEL AO system is the deformable mirror (DM). However, mechanical constraints in currently available DMs limits AO system performa ...

    STTR Phase II 2020 Department of DefenseAir Force
  2. MORTIMER: Language Mechanisms and Tools for Run-TIme Memory Access Policy Enforcement

    SBC: Intelligent Automation, Inc.            Topic: HR001120S0019001

    DoD has a critical need for protecting sensitive data to make sure that only the intended, trusted programs or parts of programs can access the data. This protection must be also effective when data is loaded into memory while being processed by software. Lately, the side-channel attacks which are based on information gained from the implementation of a computer system rather than exploiting algor ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  3. PathEngine II: A Platform To Automate the Integration of Data To Predict Pathogenic Potential

    SBC: NETRIAS, LLC            Topic: ST18C002

    Netrias, the Texas A&M Health Science Center (TAMHSC) and the Texas A&M Engineering Experiment Station (TEES), and expert consultants will expand and extend the capabilities of PathEngine, an advanced computational platform that ingests and integrates a corpus of bacterial phenotype measurements suitable for the training of a pathogenicity machine learning algorithm. We will enhance the data integ ...

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  4. Methane Harvesting for Seafloor Generation

    SBC: MARITIME APPLIED PHYSICS CORPORATION            Topic: ST18C005

    Clearly demonstrate that a sub-sea methane harvesting power station can be developed, deployed, and operated to produce power at the 1kW level. Show that no major hurdles remain to produce a fully functional prototype system. Such a system will harvest methane from a productive methane ocean seep and operate autonomously for several years.

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  5. Sparse Information Orbit Estimation for Proliferated LEO

    SBC: Braxton Technologies, LLC            Topic: HR001119S003522

    Rapidly expanding Low Earth Orbit (LEO) satellite constellations force traditional ground-based tracking methods to adapt as the current ground sensor networks can no longer provide a data rich tracking environment. Accurate tracking information is continually consumed by the Government and private sector to varying degrees of accuracy throughout satellites’ mission lifecycles to provide and uti ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  6. 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
  7. Self-driving Modular AI-based Robot for Rough Terrain (SMARRT)

    SBC: Intelligent Automation, Inc.            Topic: HR001119S003523

    The Defense Advanced Research Projects Agency (DARPA) is seeking to utilize small reconfigurable robotic system to operate independently in unknown highly complex environments. We propose a modular reconfigurable robot, which presents several locomotion modality to handle different type of off-road environments. We proposed several configurations for the robot, which are well-suited to the type of ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  8. Spatio-Temporal Association and Curve Kernels (STACKNet) for Multi-Cue Data Association

    SBC: Intelligent Automation, Inc.            Topic: MDA19T001

    Air and missile threats can fly highly maneuvering, complex trajectories. This poses a challenge to tracking algorithms during data association because of confusing targets, proximal detections and fast motion. In the proposed effort we propose to develop deep learning based technologies for data association to improve the accuracy of data association. Deep learning has shown significant gains in ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  9. Intelligent Data Exploration and Trending Engine (IDEATE)

    SBC: SEED INNOVATIONS, LLC            Topic: MDA19T003

    Seed Innovations (Seed) and the University of Colorado in Denver (UCD) apply our experience in natural language processing (NLP), artificial intelligence, big data, data analytics, automatic code generation, framework development, and software architecture to accomplish the research required. Through the research on this project, Seed and UCD design and develop a proof-of-concept system, Intellige ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  10. Dynamic Emulated System In Loop

    SBC: Cardinal Engineering, LLC            Topic: MDA19T006

    State of the art power hardware-in-the-loop (PHIL) and controller hardware-in-the-loop (CHIL) methods and testbed are used to evaluate naval ship power architectures. An innovative approach is proposed to leverage these capabilities to generate an architecture and toolkit that provide near real-time digital emulated system-in-the-loop capabilities and code execution testing for missile defense sys ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
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