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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. Embedded Space Analytics

    SBC: INFOBEYOND TECHNOLOGY LLC            Topic: N16AT020

    Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to signify the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes b ...

    STTR Phase II 2017 Department of DefenseNavy
  2. Risk-Aware Navigation and Guidance for Resilience (RANGR)

    SBC: BIHRLE APPLIED RESEARCH INC            Topic: N17BT034

    Because traditional methods for assessing risk in UAS operations with the National Airspace (NAS) are unavailable, alternatives must be sought. As such, the work detailed within this proposal can be split into two significant parts. The first part is the identification of information sources, both open and commercial, from which databases of inferred population-based risk can be generated. The sec ...

    STTR Phase I 2017 Department of DefenseNavy
  3. 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
  4. Minimum-Risk Planning and On-Board Replanning for UAS Operations

    SBC: BARRON ASSOCIATES, INC.            Topic: N17BT034

    Current aircraft operations within the National Airspace System (NAS) rely heavily on the presence of an on-board pilot to safely manage the flight. Integration of Unmanned Aircraft Systems (UAS) into the NAS requires a high confidence that these unmanned aircraft operations can meet or exceed the safety afforded through manned operations. Specifically, these UAS operations must not pose an undue ...

    STTR Phase I 2017 Department of DefenseNavy
  5. Techniques to Adjust Computational Trends Involving Changing Data (TACTIC-D)

    SBC: OASYS, INC.            Topic: N17BT032

    The Navy seeks technology based on statistical or computational methods to assist in the continued tracking of training performance and proficiency trends as underlying tactical data changes. OASYS, INC. and the ITCS at UAH proposes to exploit the benefits of modeling the underlying cause-effect structure of Navy data, rather than the data itself. This approach makes the model and analytical metho ...

    STTR Phase I 2017 Department of DefenseNavy
  6. Dynamically Reconfigurable Mission Control and Performance (DREAM CAPER)

    SBC: DZYNE TECHNOLOGIES, LLC            Topic: N17BT035

    The Navys Common Control System (CCS) plan for managing multiple Unmanned Aerial System (UAS) and manned aircraft requires mechanisms to focus the operators attention as quickly as possible to changes in the environment that will affect mission success. The planned evolution of the CCS to fully autonomous operation further requires that these changes and their effects on the mission be identified ...

    STTR Phase I 2017 Department of DefenseNavy
  7. 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
  8. 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
  9. 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
  10. Semantic Parsing and role Labeling In Combination Effort (SPLICE)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: DTRA14B003

    To Counter Weapons of Mass Destruction (CWMD), DTRA must analyze data from numerous sources about a diverse set of technologies and activities. The extreme diversity in content and the volume of DTRAs data combine to produce one of the most challenging analysis problems in the government. The CWMD mission therefore requires deep analysis - an in-depth understanding of all available data and correl ...

    STTR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
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