You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Wavelength-Agile Real Time Tabletop X-ray Nanoscope based on High Harmonic Beams

    SBC: Kapteyn-Murnane Laboratories, Inc.            Topic: ST15C001

    Nanoscale, material sensitive, imaging techniques are critical for progress in many disciplines as we learn to master science and technology at the smallest dimensions — on the nanometer to atomic-scale. However, progress in both science and technology is becoming increasingly limited by the constraints of current imaging techniques and metrologies. Fortunately, by combining coherent extreme UV ...

    STTR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  2. Visual Relative Navigation via Intelligent Ephemeral Relationships (VRNIER)

    SBC: TOYON RESEARCH CORPORATION            Topic: ST18C006

    As unmanned aircraft systems (UAS) become more prevalent there is an increasing desire to automate UAS navigation and control. To enable future UASs to perform a wider variety of missions, the they must be able to complete autonomous relative navigation to accomplish missions. Current technologies rely heavily on GPS measurements, which are undesirable since GPS signals may be unavailable in many ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  3. PathEngine: A Platform To Automate the Integration of Data To Predict Pathogenic Potential

    SBC: NETRIAS, LLC            Topic: ST18C002

    New pathogens, both naturally occurring and adversary-engineered, are increasingly likely to emerge and represent a significant and growing risk to global health and security. These new threats often have limited genetic similarity to prior known pathogens and cannot be identified through standard genetic tests. The application of machine learning algorithms to phenotypic tests to predict pathogen ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  4. Development of Autonomous Glycemic Control Mechanism for Patients Suffering Glycemic Abnormalities as a Result of Critical Illnesses

    SBC: PROFUSA, INC.            Topic: ST18C004

    The use of continuous glucose monitors can be an invaluable management tool for patients afflicted by glycemic variability due to critical illness or trauma. Maintaining stable glucose levels enhances health and lowers care costs, and individuals equipped with continuous glucose data have significantly improved outcomes. Profusa has developed highly miniaturized, injectable, tissue-like, glucose s ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  5. Methane Harvesting for Seafloor Power Generation

    SBC: MARITIME APPLIED PHYSICS CORPORATION            Topic: ST18C005

    The US Navy, industry and the scientific community is using and developing a variety of AUVs, underwater sensors, and other systems that can be easily deployed and operated with minimal maintenance or recurring costs. A primary hindrance to the long-term implementation of these systems is the availability of in situ energy. The concepts presented herein focus on the harvesting of methane from seep ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  6. Pathogen Classification Tool (PaCT)

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: ST18C002

    Stottler Henke proposes PaCT, leveraging our related past work in computer vision and machine learning. Drawing from techniques used in ExPATSS, a Phase II SBIR effort slated for transition to the Naval fleet, PaCT will perform bacterial characterization using features derived from the phenotype of the bacteria. PaCT will predict bacterial characteristics such as pathogenicity, antibiotic resistan ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  7. High-Power, Ultra-low Noise, Heterogeneously Integrated Lasers

    SBC: Morton Photonics Incorporated            Topic: A14AT005

    In this program, Morton Photonics (MP) and its STTR partner Professor John Bowers and his research group at the University of California at Santa Barbara (UCSB) will develop two truly disruptive integrated laser devices: (1) A broadly tunable integrated laser with ultra-low linewidth, ultra-low relative intensity noise (RIN), and high output power; the Integrated Coherent Tunable Laser (ICTL), whi ...

    STTR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  8. A Novel, Microscale, Distributable Sensor Technology for Ionizing Radiation

    SBC: CFD RESEARCH CORPORATION            Topic: DTRA14B004

    Terrorist use of radioactive nuclear materials via nuclear and/or radiological dispersion devices (dirty bombs) is a serious threat. Therefore, it is crucial to detect proliferation of nuclear material. Critical challenges include: (a) high sensitivity detection of signature emissions from radioactive isotopes, and (b) cost-effectiveness for deployment of sensor networks across large storage facil ...

    STTR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
  9. Automated Video Activity Analysis for Military Operations

    SBC: MAYACHITRA, INC.            Topic: ST081010

    The increasing use of video in force protection, autonomous vehicles reconnaissance, and surveillance in general has created a great demand for automated analysis and monitoring. It is infeasible to have humans monitoring and analyzing the vast amount of video used in such surveillance, and automated analysis yields hope to ease the burden and increase the amount of information extracted from col ...

    STTR Phase II 2010 Department of DefenseDefense Advanced Research Projects Agency
  10. Dynamic Multisensor Exploitation (DYME)

    SBC: Technology Service Corporation            Topic: ST081008

    The challenges faced by airborne and ground-based sensors in detecting, classifying, identifying, associating and tracking difficult moving targets, such as insurgent forces, operating in difficult terrain such as mountains and forests will be addressed. Our team will quantify the performance that can be achieved using multi-sensor, multi-spectral, and multi-platform techniques, where the sensors ...

    STTR Phase II 2010 Department of DefenseDefense Advanced Research Projects Agency
US Flag An Official Website of the United States Government