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. Development of a sensor for detecting Paralytic Shellfish Poisoning toxins

    SBC: SEATOX RESEARCH INC            Topic: 842

    Paralytic shellfish poisoning (PSP) due to consumption of contaminated shellfish is an increasing problem is the coastal waters of the United States, particularly in New England and the Pacific Ocean. The symptoms of PSP include vomiting, diarrhea, shortness of breath, confusion, and loss of coordination in both marine animals and humans. In severe cases, PSP toxins can cause respiratory failure a ...

    SBIR Phase I 2017 Department of CommerceNational Oceanic and Atmospheric Administration
  2. High-Resolution Measurement Techniques for High Explosive Internal Pressure and Temperature for Lethality Assessment

    SBC: CORVID TECHNOLOGIES, LLC            Topic: MDA16002

    Corvid Technologies will develop in-situ instrumentation to measure key physical states in reacting high explosives. The emerging measurement capability will provide state information to support lethality analysis by enabling equation of state development for computational models, as well as fast-running engineering codes for evaluating HE response to stimuli. Development of internal temperature ...

    SBIR Phase I 2017 Department of DefenseMissile Defense Agency
  3. AM for Missile Defense

    SBC: AURA TECHNOLOGIES, LLC            Topic: MDA16013

    Bennett Advanced Research of Raleigh, NC propose to demonstrate the procedure for validating, qualifying and predicting part quality and allowing for the certification of parts made via additive manufacturing (AM). We will focus on non-critical parts for affordable missile defense applications. Approved for Public Release | 16-MDA-8917 (15 November 16)

    SBIR Phase I 2017 Department of DefenseMissile Defense Agency
  4. Artificial Scene Generator

    SBC: CORVID TECHNOLOGIES, LLC            Topic: MDA16022

    Corvid proposes the development of a physics-based Artificial Scene Generator (ASG) and associated Material Delivery System (MDS) software control loop that can adapt to variable target dynamics, environmental conditions, MDS deployment settings, and missile defense sensor scene requirements. Corvid teams existing physics-based modeling tools will be leveraged to model all aspects of the MDS and ...

    SBIR Phase I 2017 Department of DefenseMissile Defense Agency
  5. Advanced Durability Coatings for Unmanned Aerial Vehicle Propulsion

    SBC: UNITED PROTECTIVE TECHNOLOGIES LLC            Topic: SOCOM163002

    Unmanned Aerial Vehicle (UAV) engine propulsion reliability is often dominated by failures associated with load bearing, sliding, or rotating components. These durability issues result in frequent overhauls, reducing system availability and increasing operating cost. Overcoming these is dramatically more difficult due to the operating conditions for military applications as well as the major empha ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  6. Family of Light Weight Cases for 5.56mm Ammunition

    SBC: CORVID TECHNOLOGIES, LLC            Topic: SOCOM17001

    During the Phase I effort, Corvid Technologies will thoroughly evaluate the present state of the art of candidate materials and designs of a lighter and more cost effective 5.56mm ammunition case for the expressed purpose of compiling data in a clear, easily digested format that will be subsequently used to select a candidate or candidates for prototyping. The present state of the art consists of ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  7. Canine Response Inhibitors

    SBC: K2 Solutions, Inc            Topic: SOCOM172001

    U.S. Special Operations Command (USSOCOM) missions require the ability to maneuver undetected in urban and rural environments. While Special Operations Forces (SOF) have developed Tactics, Techniques, and Procedures (TTPs) for avoiding adversarial humans and technologies, remotely deliverable deterrents for domesticated and feral canines have remained an elusive goal, sometimes compromising operat ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  8. Computer Network Defense Trainer

    SBC: INGENIA SERVICES INC            Topic: N171023

    Phase I will research and design enhancements to existing, government-owned cyber emulation software and protocols for CND effects generation, Command and Control (C2) of CND effects, an enhanced distributed simulation interface, and information assurance. Phase I will also introduce a CND Training Concept of Operations (CONOPS) that will make recommendations for how to adapt existing Navy trainin ...

    SBIR Phase I 2017 Department of DefenseNavy
  9. Low Speed Vehicle Motion Sensor

    SBC: VADUM INC            Topic: N171029

    Vadum will develop an optical sensor to capture true relative motion between an unmanned vehicle and the aircraft carrier deck or ground airstrip surface, regardless of wheel slip or skid. The optical sensor will output data at a high data rate and with very high accuracy. No additional sensors (GPS, magnetic compass, gyroscopes, accelerometers) are needed, and no equipment will be installed on th ...

    SBIR Phase I 2017 Department of DefenseNavy
  10. Cognitive Software Algorithms Techniques for Electronic Warfare

    SBC: VADUM INC            Topic: N171044

    Vadum will develop a cognitive radar threat characterization (CRTC) system that employs a learning framework and algorithms to detect and counter agile, adaptive threat radars. Capabilities developed will provide improvements to threat detection, identification, and intent estimation to augment the SLQ-32 SEWIP Block 2 Electronic Support (ES) capabilities. CRTC will focus on the challenges of shor ...

    SBIR Phase I 2017 Department of DefenseNavy
US Flag An Official Website of the United States Government