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 FY20 is not expected to be complete until September, 2021.

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.

Displaying 41 - 50 of 188030 results
  1. Single Amphibious Integrated Precision Augmented Reality Navigation System (SAIPAN)

    SBC: Charles River Analytics, Inc.            Topic: N202090

    By using different precision navigation systems on land and in the water, the Navy and Marine Corps lack the ability to effectively mark, visualize, and synchronize assault lanes in the littorals with a single integrated system. To address this critical capability gap, Charles River Analytics proposes to analyze, design, and demonstrate the feasibility of a conceptual single amphibious integrated ...

    SBIR Phase I 2021 Department of DefenseNavy
  2. A Realizable Single Amphibious Integrated Precision Augmented Reality Navigation (SAIPAN) System

    SBC: Augmntr, Inc            Topic: N202090

    Augmntr proposes a SAIPAN solution of a scalable system capable of running on either a small handheld system or on more capable devices on a large vehicle, craft, or ship. This system architecture utilizes the best mix of commercial and custom software and ruggedized off-the-shelf hardware. By incorporating standard interfaces and data formats, our SAIPAN architecture will provide a functional, c ...

    SBIR Phase I 2021 Department of DefenseNavy
  3. Improved Anti-Submarine Warfare Training Through Interpretable Machine Learning

    SBC: Nou Systems, Inc.            Topic: N202091

    Training Acoustic Warfare Operators (AWO) for Anti-Submarine Warfare (ASW) is a time-consuming process that requires extensive human support. But instructors must divide their time between helping students and hunting for the signal in sonograms themselves. To improve training outcomes, nou Systems, Inc. (nSI) will deliver an AI training system that is interpretable, not explainable after the fact ...

    SBIR Phase I 2021 Department of DefenseNavy
  4. Jargon-Aware Artificial Intelligence

    SBC: Signal Systems Corporation            Topic: N202091

    SSC will leverage the ability for deep neural networks to perform feature extraction along with transparent classifier architectures, which are innately explainable to create an AI assistant for passive air anti-submarine warfare applications. Deep neural networks will be used to learn the features operators use when reviewing sonar displays. This embedded expert knowledge will enable the AI assis ...

    SBIR Phase I 2021 Department of DefenseNavy
  5. System for Embedded ASW Training Using Artificial Intelligence (SEATRAIN)

    SBC: Boston Fusion Corp.            Topic: N202091

    To provide an Artificial Intelligence (AI) Assistant for P-8A acoustic operators and trainees, Boston Fusion Corp. proposes to demonstrate a System for Embedded ASW Training Using Artificial Intelligence (SEATRAIN). SEATRAIN integrates four core capabilities. First, SEATRAIN’s AI Assistant uses machine learning to coach trainees by showing how their assessments differ from its own assessments an ...

    SBIR Phase I 2021 Department of DefenseNavy
  6. RAPID SPLINE SCANNING SYSTEM (RS3) FOR ACCURATE SPLINE INSPECTION

    SBC: UNITED PROTECTIVE TECHNOLOGIES, LLC            Topic: N202093

    Corrosion, fretting, and wear poses a serious threat to Navy aircraft safety and functionality. Splines on the proprotor masts of the V-22 Osprey are plagued with these issues and the process for their inspection and repair is difficult and time consuming, taking hours and requiring removal of the proprotors. United Protective Technologies (UPT) will develop the Rapid Spline Scanning System ...

    SBIR Phase I 2021 Department of DefenseNavy
  7. PX 3D-AI Micro-NDI Tool

    SBC: Photon-x, Inc.            Topic: N202093

    Photon-X’s goal is to solve the Navy’s Physical Measurement of Corrosion and Wear Damage on Splined Surfaces on V-22’s by utilizing innovative commercial 3D-AI NDI capabilities that identify and prioritize areas for repair and predict where future failures might arise. The company’s shape-based 3D-AI NDI technology platform has been developed over the past several years ...

    SBIR Phase I 2021 Department of DefenseNavy
  8. Multi-Physics Simulation Tool for Rapid Heat Damage Assessment of Polymer Composite Aircraft Structures

    SBC: Reaction Engineering International            Topic: N202094

    The goal of this effort is to estimate the residual strength of composites exposed to over- temperature events.  Proposed is a physics-based, multi-dimensional simulation software to quantify the system-level response of composites exposed to heating via thermal and structural modeling. A computational framework, jointly developed by Reaction Engineering and the University of Buffalo for over 15 ...

    SBIR Phase I 2021 Department of DefenseNavy
  9. Novel Multi-Physics Based Simulation Tool for Rapid Heat Damage Assessment of Polymer Composite Aircraft Structures Resulting from Excessive Heat Expo

    SBC: NORDISCH LLC            Topic: N202094

    By deploying a systematic approach for coupling of different damage models, the project aim to develop predictive tools to describe damage accumulation in composites that are concurrently exposed to (i) infrequent ultrashort overheating, (ii) long-term isothermal aging and (3) and mechanical decay due to cyclic deformation. In view of the complexity of the mapping space, no model exists that can e ...

    SBIR Phase I 2021 Department of DefenseNavy
  10. Rotorcraft Crash Sensor for Active Safety Systems and Mishap Dynamics Recording

    SBC: Diversified Technical Systems, Inc.            Topic: N202096

    Every year hard landings or crashes expose rotorcraft pilots and aircrew to potentially injurious dynamic forces. Current injury mitigation technologies have been designed based on data collected in a small number of full-scale controlled tests, component tests in laboratories, and insights gleaned from incident investigations. Thus, the current knowledge base is limited and partially relies on ...

    SBIR Phase I 2021 Department of DefenseNavy
US Flag An Official Website of the United States Government