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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.

  1. High Repetition Rate Microwave Modulation

    SBC: MISSION RESEARCH CORP.            Topic: N/A

    Several important emerging applications require efficient, high-speed high-duty-cycle, amplitude modulation of high levels of microwave power, with low cost and small size-and-weight. The modulation frequency and average power required for these applications are far beyond the capabilities of existing technology. MRC proposes to research and develop two alternative methods of achieving square-wa ...

    SBIR Phase I 1998 Department of DefenseNational Geospatial-Intelligence Agency
  2. High Resolution Imaging Ellipsometer for Labeless, Multi-Channel Immunosensing

    SBC: Physical Optics Corporation            Topic: N/A

    We propose to develop a real-time imaging optical arrangement monitoring a sample solution for a large number of analytes in parallel. Using a photo-induced immobilization technique, a multitude of different antibodies is immobilized on the surface of a glass carrier, each type located at a specific position on the chip. When sample fluid containing the analytes lows over the sensor surface, the t ...

    SBIR Phase I 1998 Department of DefenseOffice for Chemical and Biological Defense
  3. High Sensitivity Receiver For Optimized Standoff Active Chem-Bio Sensor

    SBC: SOUTH BAY SCIENCE & TECHNOLOGY CORP.            Topic: CBD06103

    The objective of the program is to demonstrate novel methods for achieving significant improvement in sensitivity of the active standoff chemical sensor operating in the 3-5 m and 10 m bands. Emphasis will be placed on photon detection improvement including reduction of background radiation and preamplifier noise reduction. Detector arrays will be studied for threat mapping applications. Tra ...

    SBIR Phase I 2006 Department of DefenseOffice for Chemical and Biological Defense
  4. High Speed Combatant Craft Automated Ride Control

    SBC: CONTINENTAL CONTROLS AND DESIGN, INC.            Topic: SOCOM10005

    We propose to demonstrate an integrated ride control system for high speed small craft. Our approach uses a smart EM actuator and transom trim tabs as a direct replacement for the ubiquitous electrohydraulic and electric systems currently used for static trim adjustments. Our recent IRAD efforts have produced a self contained control system which can be installed on virtually any craft within a f ...

    SBIR Phase I 2010 Department of DefenseSpecial Operations Command
  5. High Speed Combatant Craft Automated Ride Control

    SBC: NAIAD DYNAMICS US INC            Topic: SOCOM10005

    The development of an automated ride control system for high speed combatant craft is critical to reducing the motions that cause injury to crew and damage to craft and equipment. Ancillary benefits include reduced fuel consumption for improved range of operation and the reduction of wake signature. The objective of this research project is to continue the successful development of ride control ...

    SBIR Phase I 2010 Department of DefenseSpecial Operations Command
  6. High Surface Area Film Filter

    SBC: Physical Optics Corporation            Topic: N/A

    N/A

    SBIR Phase I 1999 Department of DefenseOffice for Chemical and Biological Defense
  7. Hokkien Low Density Language Capability

    SBC: FEMTOSENSE, INC.            Topic: SOCOM232002

    Femtosense is an innovative tech startup leading the charge to deploy sparse AI using novel techniques that are far more affordable and easier to implement than traditional AI computational technologies. Femtosense’s invention – the Sparse Processing Unit (SPU-001) is a TRL level 7 processing chip poised to disrupt the $50B AI hardware market. It offers best-in-class SWaP-C (Size, Weight, Powe ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  8. Hokkien Low Density Language Capability

    SBC: TOYON RESEARCH CORPORATION            Topic: SOCOM232002

    Toyon proposes to establish the feasibility of a novel approach to performing S2ST between a target language, such as English, and the low density spoken only language Hokkien. While we will focus of Hokkien during the research and development efforts of Phase I, our system can be tailored to any low density spoken language. Our approach leverages our recently developed Android Team Awareness Kit ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  9. Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia

    SBC: HVMN Inc.            Topic: SOCOM17C001

    In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  10. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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