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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. Griffon Test Suite

    SBC: SOAR TECHNOLOGY, LLC            Topic: DHA17C001

    In this proposal we support the development of a hypoxia test battery by designing and developing a domain general tool suite for processing, synchronizing, and evaluating data from cognitive, behavioral, and physiological measures.The proposed Griffon Tool Suite addresses many of the practical requirements demanded by a flexible test battery. The effort falls into three major thrusts.First, we pr ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  2. Meaning-Aligned Record Synthesis for Training Emerging Capabilities (MARSTEC)

    SBC: SOAR TECHNOLOGY, LLC            Topic: N18AT003

    Operational experts collect recorded data about emerging tactics, techniques, and procedures (TTPs) from sources such as live and virtual training exercises, and numerous test and evaluation simulations. However, instructional designers cannot easily reuse the recorded data to create new training. Without sufficient access to operational experts, expert knowledge is inaccessible and fragmented, of ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Twiner

    SBC: SOAR TECHNOLOGY, LLC            Topic: N18AT019

    We currently lack the ability to holistically and autonomously look across all three layers of cyberspace (persona, logical and physical) and identify interesting patterns, which would give us an edge in understanding complex activities in and through cyberspace. To address this challenge, Soar Technology (SoarTech) and the GeorgiaTech Research Institute (GTRI) propose Twiner, an intelligent syste ...

    STTR Phase I 2018 Department of DefenseNavy
  4. Handoff Training for Combat Casualty Care (HTC3) Framework

    SBC: PERCEPTRONICS SOLUTIONS, INC            Topic: DHA17B001

    This proposal is to develop a Handoff Training for Combat Casualty Care (HTC3) Framework.Training is the crux of the handoff problem today. Patient handoffs are a crucial part of casualty care, both in military and civilian environments; and today handoffs are being performed in less than optimal fashion, with ineffective communications accounting for 80% of the handoff errors. Our new HTC3 Framew ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  5. Data Science Techniques for Various Mission Planning Processes and Performance Validation

    SBC: PERCEPTRONICS SOLUTIONS, INC            Topic: N19BT029

    Mission and planning is a difficult and time-consuming process that places a heavy burden on manpower and critical thinking and is performed under significant pressure. Existing and emerging artificial intelligence (AI) and machine learning (ML) techniques are well-suited to assisting humans with these challenges. While the promise of AI/ML is great, there are significant obstacles to operationali ...

    STTR Phase I 2019 Department of DefenseNavy
  6. Enhanced Sensor Resource Management Utilizing Bayesian Inference

    SBC: GCAS INC            Topic: N19AT002

    This proposal describes the use of machine learning, data mining and Bayesian inference algorithms for incorporation into a surveillance aircraft cognitive radar system. The need for incorporation of higher-order uncertainty distributions will also be assessed. This will result in enhanced sensor resource management capability for surveillance aircraft radar.

    STTR Phase I 2019 Department of DefenseNavy
  7. Adaptive Learning for Stall Pre-cursor Identification and General Impending Failure Prediction

    SBC: FRONTIER TECHNOLOGY INC.            Topic: N10AT008

    Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used t ...

    STTR Phase I 2010 Department of DefenseNavy
  8. Solid-State Fundamental Mode Green Laser for Ocean Mine Detection

    SBC: ARETE ASSOCIATES            Topic: N13AT023

    Arete proposes the development of Q-switched semiconductor lasers that can be scaled to produce high output peak powers within the blue/green wavelength band. The proposed system will utilize nanostructure quantum wavefunction engineering for gain material designs having extended excited state lifetimes and suppressed non-radiative processes to enable energy storage for high-peak-power optical pul ...

    STTR Phase I 2013 Department of DefenseNavy
  9. Comprehensive Surf Zone Modeling Tool

    SBC: ARETE ASSOCIATES            Topic: N19AT010

    Areté Associates, along with STTR partner Rochester Institute of Technology (RIT), are proposing a comprehensive software capability for scene generation, object insertion, and performance modeling for passive and active EO COBRA sensors over the surf zone. The Surf Zone Modeling Tool (SZT) will incorporate several technologies, including: open-source and Areté-designed SZ ocean physics models, ...

    STTR Phase I 2019 Department of DefenseNavy
  10. Predictive Graph Convolutional Networks

    SBC: ARETE ASSOCIATES            Topic: N19AT017

    The US Navy’s mission to maintain, train and equip combat-ready Naval forces requires that decision makers have situational awareness of the capabilities, limitations, vulnerabilities/opportunities for adversarial and allied forces. An incomplete or inaccurate understanding of the current landscape and associated trends could lead to suboptimal mission readiness and outcomes. Analysts need tools ...

    STTR Phase I 2019 Department of DefenseNavy
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