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Award Data
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.
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SELF ADJUSTING OBTURATOR
SBC: Advanced Technologies/Laboratories Intl Topic: N/AThe performance of guided projectiles fired in smooth-bore Navy guns is progressively degraded by barrel wear: once high temperature propellant gasses start to flow (jet) between the wall of the gun barrel and the body of the projectile, barrel wear is accelerated and propellant efficiency drops off progressibvely degrading gun accuracy. Advanced Technology and Research Corporation (ATR) proposes ...
SBIR Phase I 1993 Department of DefenseNavy -
COHERENT PROCESSING FOR LOFARGRAMS
SBC: ATLANTIC AEROSPACE ELECTRONICS CORP. Topic: N/ABecause narrowband submarines emissions are constantly being reduced, one is forced to use broadband information to detect and track, still relying upon narrowband tonal energy for classification. In addition, broadband energy frominterfering sources such as biologics or profilers can clutter LOFARGRAM displays. As a result existing LOFARGRAM methods are of limited utility for quiet threats operat ...
SBIR Phase I 1993 Department of DefenseNavy -
Hybrid Ship Track Detection System
SBC: Caelum Research Corporation Topic: N/AA "Hybrid Ship Track Detection System" is proposed for fast, accurate, and automatically processing multi-channel satellite cloud imagery, focusing on 3.7 and 0.63 micron to detect ship tracks. The configuration of the "Hybrid Ship Track Detection System" includes the following processing phases: (1) data acquisition and pre-processing, in order to reduce the noise and to enhance the figure-to-bac ...
SBIR Phase I 1993 Department of DefenseNavy -
TECHNOLOGY FOR AFFORDABILITY
SBC: Decision Dynamics, Inc. Topic: N/ATo support its future mission capabilities, the U.S. Navy needs affordable acquisition programs and a responsive industrial base. To achieve a "technology for affordability" will require advances in science and technology, both hardware and software. Models and simulations represent a key thrust area. This proposal describes how a "family" of interrelated system dynamics models will be able to sim ...
SBIR Phase I 1993 Department of DefenseNavy -
LOGISTICS TECHNOLOGY FORECAST TOOL FOR HARDWARE AND SOFTWARE INCLUDING NDI
SBC: Decision Dynamics, Inc. Topic: N/AThe proposal describes a method for developing a dynamic simulation model of the operational and aging processes of Naval Weapons Systems. The simulation model will forecast the logistics requirements for alternative technology choices, including life cycle costs. The model will capture, in as much detail as desired, each of the critical systems and components within a weapons system and track the ...
SBIR Phase I 1993 Department of DefenseNavy -
Acousto-Fluidic Active Vibration Isolation for Torpedoes
SBC: DEFENSE RESEARCH TECHNOLOGIES, INC. Topic: N/AN/A
SBIR Phase I 1993 Department of DefenseNavy -
Improved Thermal Neutron Imaging Method
SBC: Industrial Quality, Inc. Topic: N/AN/A
SBIR Phase I 1993 Department of DefenseNavy -
Melt Spinning Procedures for Optimization of Terbium-Dysprosium Alloy Transducers
SBC: Industrial Quality, Inc. Topic: N/AN/A
SBIR Phase I 1993 Department of DefenseNavy -
Low Loss Infrared Fiber Imaging Bundles
SBC: Infrared Fiber Systems, Inc. Topic: N/AN/A
SBIR Phase I 1993 Department of DefenseNavy -
A Synergic Expert-Neural Network System to Identify Relocatable Targets using Multi-Sensor Fusion
SBC: LNK CORP., INC. Topic: N/AThe central focus of this proposal is on building an automatic target recognition system for identifyi-ng relocatable targets by integrating information from multiple sensors using a synergistic framework of neural networks and exprt systems. This frairework is ideally suited for 3..ricorporating human expertise of both perceptual and qualitative reasoning processes . From our prior experience in ...
SBIR Phase II 1993 Department of DefenseNavy