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Award Data

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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.

Displaying 51 - 60 of 12025 results
  1. Intelligent Software-Upgradable Radio Device

    SBC: Physical Optics Corporation            Topic: N172104

    To address the U.S. Marine Corps need for low probability of detection on-the-move communications for artillery batteries, Physical Optics Corporation proposes to develop a new detachable INtelligent Software Upgradable Radio Device (INSURD) operating in military allocated millimeter-wave frequency band in support of cognitive low probability of detection NLOS wireless communication of mobile netw ...

    SBIR Phase I 2018 Department of DefenseNavy
  2. Low Probability of Detection On the Move Communications for Artillery Batteries

    SBC: Silvus Technologies, Inc.            Topic: N172104

    Silvus Technologies and Information Assurance Specialists combined expertise to offer a high bandwidth and CSfC certifiable communications system for the HiMARS artillery system. This system has four pillars that together form a comprehensive solution for on-the-halt or on-the-move communication for a HiMARS battery: 1) interference immune networking, 2) low probability of detection (LPD)/low prob ...

    SBIR Phase I 2018 Department of DefenseNavy
  3. Resilient Protected Operating System Environment

    SBC: Physical Optics Corporation            Topic: N172105

    The Navy needs a software solution that can maintain a common trusted resilient operating system environment for hand-held devices, portable computers, and tactical server computing environments and that can provide data integrity even in the presence of zero-day attacks. In response, Physical Optics Corporation proposes to develop the Resilient Protected Operating System Environment (REPROS). REP ...

    SBIR Phase I 2018 Department of DefenseNavy
  4. Data Integrity and Confidentiality Resilient Operating System Environment for Multi-Level Security

    SBC: RAM LABORATORIES            Topic: N172105

    One of the largest threats to multi-level secure operating systems are zero-day privilege escalation attacks that allow an adversary to gain root privileges and break out of any sandbox environment. To combat these challenges RAM Laboratories is proposing a secure dual-classification operating system with kernel integrity modules that prevent this style of attacks. First, instead of simultaneously ...

    SBIR Phase I 2018 Department of DefenseNavy
  5. Data Integrity and Confidentiality Resilient Operating System Environment for Multi-Level Security

    SBC: Grier Forensics, LLC            Topic: N172105

    To meet the Marine Corps' need for data integrity, resilience, confidentiality, and multi-level security on hand-held devices, portable computers, and tactical servers, Grier Forensics proposes development and demonstration of Trapeze. Trapeze achieves high protection multi-level security by booting into one of a number of distinct, isolated Security Environments. Security Environments are selecte ...

    SBIR Phase I 2018 Department of DefenseNavy
  6. Redwall Mobile Resilient Operating System With Multi-Level Security

    SBC: REDWALL TECHNOLOGIES, LLC            Topic: N172105

    RwM Resilient takes Redwall Technologies commercially-available multi-level mobile security solution, Redwall Mobile (RwM), to a new level by layering resilience into its operation. RwM represents the best in class protection for operating systems like Android and provides our patent pending method of combining cryptographic and temporal separation, which may be the only certain way to securely se ...

    SBIR Phase I 2018 Department of DefenseNavy
  7. Binarized Deep Fusion Classification

    SBC: Physical Optics Corporation            Topic: N172108

    To address the Navys need for a radar and electro-optical/infrared (EO/IR) fusion system running on space, weight and power (SWaP) constrained platforms for ship classification and identification, Physical Optics Corporation (POC) proposes to develop a new Binarized Deep Fusion Classification (BDFC) technology. This proposed BDFC solution is based on decision-level and feature-level data fusion of ...

    SBIR Phase I 2018 Department of DefenseNavy
  8. Fusion of Radar and Electro-Optical/Infrared (EO/IR) for Ship Classification and Identification

    SBC: Arete Associates            Topic: N172108

    Aret proposes to develop and implement an innovative deep learning process to fuse multiple sensor modalities for classification and identification of watercraft. Machine learning techniques and simulations capabilities will be used to construct a trained classification processor that will be implementable in SWaP-Computational limited operations. The Phase I demonstration will leverage a suite of ...

    SBIR Phase I 2018 Department of DefenseNavy
  9. Advanced Machine Learning Fusion of Radar and EO/IR/LIDAR for Ship Classification and Identification

    SBC: Science Systems Solutions, Inc.            Topic: N172108

    We propose a two-prong machine learning approach that simultaneously uses two complementary techniques, deep learning CNN and manifold learning, to exploit the automatic feature and regularities discovery of deep learning to fuse the multiple sensor data and the sparsity representation of the data in manifold learning to fuse the raw sensor data as represented by their highly compressed lower dime ...

    SBIR Phase I 2018 Department of DefenseNavy
  10. Distributed Communications & Electronic Warfare

    SBC: VADUM INC            Topic: N172110

    Vadum will develop and simulate a new beamforming protocol for Distributed Communications and Electronic Warfare (DCEW) that will implement distributed TX and RX beamforming algorithms between a cluster of nodes, such as unmanned aerial vehicles (UAV), and cooperative or uncooperative receivers. The Vadum approach uses an innovative Master-Slave architecture employing multiple input multiple outpu ...

    SBIR Phase I 2018 Department of DefenseNavy
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