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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. Risk-Based Unmanned Air System (UAS) Mission Path Planning Capability

    SBC: ACTA, LLC            Topic: N17BT034

    In this Phase I Project ACTA and its partners will demonstrate the feasibility of developing a risk-based mission path planning (RB MPP) approach. Areas of interest to the Navy where a RB MPP address critical needs include enabling less restrictive UAS operations within the US National and Foreign Airspaces. The Phase I will demonstrate feasibility with a two-step approach. The first step will dem ...

    STTR Phase I 2017 Department of DefenseNavy
  2. Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: N17BT035

    OKSI and Professor Matthew Taylor will develop the Cognitive Adaptation and Mission Optimization (CAMO) command and control tool for teams of UAS platforms. CAMO will incorporate existing databases (e.g., NASA population maps, FAA airspace maps, etc.) as well as real-time data from UAS into a learning-based cognitive control solution that maximizes mission performance while minimizing risk for a t ...

    STTR Phase I 2017 Department of DefenseNavy
  3. Cognitive Risk Management for UAS Missions

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N17BT035

    Enabling operators to command and control multiple UAVs will require higher levels of supervisory control, enabling vehicles to operate autonomously during larger portions of each mission. For the foreseeable future, however, critical portions of each mission will require operators to apply their superior knowledge, judgment, and skills to assess the situation, monitor execution more closely and, ...

    STTR Phase I 2017 Department of DefenseNavy
  4. SOCRATES Maritime Multi-access Optical Communication System

    SBC: SA PHOTONICS, LLC            Topic: N16AT024

    SA Photonics is pleased to propose the SOCRATES free space optical communication and sensing system featuring the Photonic Optical Multicast Mast Unit (POMMU). SOCRATES enables 360 degree multicast capability of high bandwidth communication in addition to threat search and tracking capability. SA Photonics will team with Prof. Michael Kudenov at North Carolina State University who will investigate ...

    STTR Phase II 2017 Department of DefenseNavy
  5. Multirotor Unmanned Air / Underwater Vehicle for Explosive Ordnance Disposal (EOD) and Mine Countermeasures (MCM)

    SBC: SUBUAS LLC            Topic: N16AT025

    Team SubUAS, the STTR partnership between SubUAS LLC and Rutgers, the State University of New Jersey, have developed the first drone to operate seamlessly between air, surface and water mediums. On this proposed effort, our multirotor unmanned aerial/underwater vehicle (MUA/UV) will be scaled to carry a payload of 10-30 pounds. Team SubUAS will build, test and develop simulated concept of operatio ...

    STTR Phase II 2017 Department of DefenseNavy
  6. 3D Acoustic Model for Geometrically Constrained Environments

    SBC: HEAT, LIGHT, AND SOUND RESEARCH, INC.            Topic: N16AT018

    Systems that operate in constrained environments depend on the acoustics in several ways. Harbor defense systems detect intruders (peopleand/or vessels) by either listening for their noises (passively) or by pinging on them and detecting their echoes (actively). Furthermore, suchsystems may also form the equivalent of an underwater cell phone network using sound to carry the information. The acous ...

    STTR Phase II 2017 Department of DefenseNavy
  7. Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: N17AT016

    OKSI and Northwestern University propose to develop a super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that produces extreme enhancement of low resolution images. Image enhancement of at least 4x is expected using a standard imaging system. OKSI and Northwestern University will also develop a detector-limited imaging system specifically designed to be used with the SR methodo ...

    STTR Phase I 2017 Department of DefenseNavy
  8. High Density Capacitors for Compact Transmit and Receive Modules

    SBC: Bioenno Tech, LLC            Topic: N17AT011

    Development of a new generation of high-energy-density capacitors for power conversion/conditioning systems will be beneficial to reduce the size, weight, and cost of resultant transmit and receive (T/R) modules in modern radar and electronic warfare transmitters. Among capacitor technologies available, multilayer ceramic capacitors (MLCCs) and polymer-ceramic composite dielectric based capacitors ...

    STTR Phase I 2017 Department of DefenseNavy
  9. Nanocomposite Scandate Tungsten Powder for High Current Density and Long Life Thermionic Cathodes

    SBC: Vacuum Process Engineering, Inc.            Topic: N15AT010

    Vacuum Process Engineering, Inc. (VPE), in collaboration with the University of California, Davis (UC Davis), proposes to develop and quantitatively verify a large scale production process for scandate tungsten nanocomposite powder to be used in high current density and long life cathodes during the Phase II effort. The plan for implementation of the large scale production process at VPE with powd ...

    STTR Phase II 2017 Department of DefenseNavy
  10. Volumetric Atmospheric Modeling from Point Measurements or a Single Profile

    SBC: Science and Technology in Atmospheric Research (STAR) LLC            Topic: N17AT018

    The Navys atmospheric modeling capabilities do not accurately predict the atmosphere at the sea-air marine boundary layer, creating anomalous visual/electro-optical/infrared propagation conditions, which can be deceiving. The Navys observational capabilities rely on locally-collected point measurements at the sea surface. However, single point collections cannot accurately estimate the atmospheric ...

    STTR Phase I 2017 Department of DefenseNavy
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