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 FY22 is not expected to be complete until September, 2023.

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.

  1. Augmented reality and data fusion for CBRN threats

    SBC: Gamma Reality Inc.            Topic: CBD212002

    One of the hallmarks of our modern world is the increasing ubiquity of sensors and platforms deployed in complex environments. On the battlefield, there are a wide variety of sensors integrated with platforms ranging from large vehicles, such as the NBCRV, to drones, ground robots, light tactical off road vehicles, and on the Warfighters themselves. Collecting, correlating, analyzing, and communic ...

    SBIR Phase I 2022 Department of DefenseOffice for Chemical and Biological Defense
  2. Aerosol Ionization Mass Spectrometer (AIMS)

    SBC: Hedgefog Research Inc.            Topic: CBD212003

    There is an urgent need to rapidly test warfighters and their surrounding environment for disease-causing pathogens such as SARS-CoV-2. Existing methods for identifying pathogens in people usually require significant time and sample preparation. In addition, detecting pathogens such as SARS-CoV-2 in the air presents an even greater challenge. To meet the DoD need for field portable bioaerosol iden ...

    SBIR Phase I 2022 Department of DefenseOffice for Chemical and Biological Defense
  3. CBRNE Augmented Reality Display and Device Integration Network

    SBC: INTELLISENSE SYSTEMS INC            Topic: CBD212002

    To address the CBD’s need for an augmented reality (AR) display that shows chemical, biological, radiological, nuclear (CBRN), and electro-optical/infrared (CBRNE) threats, Intellisense Systems, Inc. (Intellisense) proposes to develop a new CBRNE Augmented Reality Display and Device Integration Network (CARDDIN), based on a modular network that incorporates CBRNE and geolocation information from ...

    SBIR Phase I 2022 Department of DefenseOffice for Chemical and Biological Defense
  4. Low SWaP Tactical Ultra-Secure Communications System

    SBC: IERUS TECHNOLOGIES INC            Topic: SOCOM221001

    When there is a contested environment, and SOCOM needs no-compromise ultra-secure communications, the IERUS Technologies Low-SWaP Ultra-Secure Tactical OTM Communication System (LUTOCS) is there. Utilizing an open agile architecture based on software defined radio (SDR) technology to implement advanced software and hardware solutions, the system is tailored for optimal performance in dynamic situa ...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
  5. Sea and Observe: Littoral Foundations of Structured Understanding and Iterative Discovery for Image Detection, Identification and Annotation

    SBC: E H Group, Inc.            Topic: NGA203005

    This proposal addresses the algorithm research and development of structure and iterative discovery for image detection, identification, annotation, and understanding. Our approach is inspired from the ability of humans to encapsulate and develop mental models and the ability of AI to algorithmically learn and contribute to the identification of features, textures, and salient and camouflaged char ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  6. Graphical Methods for Discovering Structure and Context in Large Datasets

    SBC: MAYACHITRA, INC.            Topic: NGA203005

    The ubiquity of image sensors for data collection creates a glut of data, which leads to bottlenecks in the processing capabilities of modern systems. In order to process this data, meticulously labeled datasets are required and that must be reviewed by humans in order to guarantee state-of-the-art performance. In this effort we endeavor to create a system that can automatically exploit salient in ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  7. OPTICAL SHUTTER FOR ACTIVE RANGE-GATED ELECTRO-OPTIC IMAGING

    SBC: TP Engineering Services, LLC            Topic: NGA212001

    TP Engineering personnel have extensive experience with electro-optic systems and high Pulse Repetition Frequency (PRF) Laser systems. We have detailed knowledge of Pockels cell systems enabling active gated imaging through foliage at PRF 100 kHz PRF. Such systems can dramatically improve and protect Geiger-mode LIDAR by both controlling the transmitter output and gating out unwanted return lig ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  8. Dynamic Parameter Selection for Community Detection Algorithms (Graph Networks)

    SBC: Arete Associates            Topic: NGA212002

    In the pattern of life problem space, data is often represented via mathematical graphs, in which a variety of algorithms may be employed to conduct semi-autonomous analysis. While successful empirical application of graph-domain algorithms on ABI problems has been achieved, most of these algorithms require a tuning parameter, which is often set heuristically in real-world scenarios. Arete has dev ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  9. Solid State High Energy Density Batteries

    SBC: BHAWIN LLC            Topic: SOCOM222001

    In Phase I project, Bhawin LLC aims to develop the current concept of solid-state Li-ion battery fabricating a single continuous phase for the anode, electrolyte, and cathode, and thus, eliminating the highly resistive interfaces between the electrolyte and electrodes found in straight solid-state Li-ion batteries. Advanced Li-ion battery technology will play a critical role in the understanding o ...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
  10. Utilizing ML Algorithms to Track and Identify UAS Threats

    SBC: QUANTUM RESEARCH INTERNATIONAL, INC.            Topic: SOCOM222002

    The objective of this feasibility study is to assess the concept of using LiDAR to detect, track, and identify sUAS threats assisted by Artificial Intelligence (AI) agents. Inherent in this objective is concept development and feasibility assessment of Machine Learning (ML) and AI algorithms for creation and use of LiDAR target profiles for sUAS surveillance and identification. This objective will ...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
US Flag An Official Website of the United States Government