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. AlphaBear2

    SBC: SPRY FOX LLC            Topic: EDIES17R0006

    This project team will fully develop and test AlphaBear 2, a vocabulary learning game for grade 4 to 7 students. Vocabulary is a prerequisite for academic success, as it is linked to stronger performance across academic subjects and improved reading comprehension. It is more difficult for students to participate in educational activities without understanding the key vocabulary associated with tha ...

    SBIR Phase II 2017 Department of EducationInstitute of Education Sciences
  2. A Collaborative Interface for Teacher-Student Interaction in Virtual Environments

    SBC: STRANGE LOOP GAMES INC.            Topic: edIES17R0005

    In prior projects, including a 2015 ED/IES SBIR award, the team developed two immersive multiplayer virtual game environments. In Eco and Colony, middle school students collaboratively apply scientific practices within the virtual worlds to address challenges, such as the availability of resources and energy and maintaining clean water. With this Phase I funding, the team is developing a prototype ...

    SBIR Phase I 2017 Department of EducationInstitute of Education Sciences
  3. Machine learning for standoff detection of Special Nuclear Material (SNM)

    SBC: CLOSTRA INC            Topic: DTRA162001

    "Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  4. Plan Recognition for Multi-Source Reasoning Over Sources and Events (PRIMROSE)

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: DTRA162004

    "SIFT will develop Plan Recognition for Multi-Source Reasoning Over Sources and Events (PRIMROSE) to provide high-performance, probabilistic plan recognition to DTRA, addressing the intelligence analysis problem of information overload. PRIMROSE will perform high-performance plan recognition and integrate the results into JIPOE-based intelligence processes. In PRIMROSE: (1) the YAPPR2 plan r ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  5. Novel Munition Technologies to Attack and Defeat Weapons of Mass Destruction (WMD)

    SBC: HYPERION TECHNOLOGY GROUP INC            Topic: DTRA143004

    Traditional weapon systems often fail to meet the requirements of close combat typical of the previously discussed engagement, where insurgents often blend in or store weapon amongst friendly or non-combatant forces, to shield them from precision strike munitions of a technologically superior force. This type of warfare has led to an increased focus on the use of less-lethal weapons, to reduce let ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  6. Advanced Fast Shutter for Debris Mitigation

    SBC: HYPERION TECHNOLOGY GROUP INC            Topic: DTRA143007

    In an effort to development more robust optical system coatings DTRA, in collaboration with Sandia National Labs, is working to characterize the degradation of optical materials for space systems when exposed to high intensely EUV/ cold x-rays. The experiments utilizes the Double Eagle z-pinch facility which generates high current, high voltage arc pinch plasma to produce an intense EUV and cold x ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  7. Fuel Efficiency Improvements for Amphibious Vehicles

    SBC: GS ENGINEERING INC            Topic: N162079

    The ACV1.1 program will deliver a modernized expeditionary assault vehicle, incorporating ship-to-shore swim capability for the most volatile mission scenarios, replacing the aging AAV fleet and filling the requirement gap left by the previously cancelled developmental program for the EFV. The ability of ACV to traverse the beach and project force inland once ashore is critical to meeting the Expe ...

    SBIR Phase I 2017 Department of DefenseNavy
  8. ISHIS: Interface System for Human Interaction with Swarms

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: N162126

    SIFT will partner with Katia Sycara and Michael Lewis to develop an Interface System for Human Interaction with Swarms (ISHIS), including a prototype user interface and a simulation and testbed to enable adaptation and experimental validation of its performance in multiple contexts. Our focus will be on human status awareness and commanding abilities to enable behavior shaping and swarm managemen ...

    SBIR Phase I 2017 Department of DefenseNavy
  9. Advanced Micro-Induction Energy Source and Controls for Quality Metal Additive Manufacturing

    SBC: GRID LOGIC INCORPORATED            Topic: N162130

    It is becoming apparent that Additive Manufacturing (AM) systems energy sources have inherent shortcomings that must be overcome to achieve DOD-qualified part fabrication. An ideal AM energy source should have the ability to couple the heating mechanism to the characteristics of the feedstock; it must have in-process inspection capabilities that can track critical parameters; and it must provide f ...

    SBIR Phase I 2017 Department of DefenseNavy
  10. Novel Pyrrhotite Detection Method in Concrete Aggregate

    SBC: METNA CO            Topic: N163137

    Pyrrhotite is an iron sulfide mineral found in diverse rock types. Its presence in the aggregate used for concrete construction can produce damaging effects associated with oxidation of pyrrhotite in the presence of water and oxygen. Available methods of detecting pyrrhotite do not suit routine field applications. This project will develop a portable test system based on NMR relaxometry principles ...

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