You are here
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.
-
Algorithms for Look-down Infrared Target Exploitation
SBC: SIGNATURE RESEARCH, INC. Topic: 1Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...
STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Development of “Permit Wizard” Software for AssistedPermit Application Completion
SBC: TOTAL QUALITY SYSTEMS, INC. Topic: 833TECHNICAL ABSTRACT: The objective of this project is to research the technical feasibility of designing a software tool “Permit Wizard” that will automate the process for aquamarine permit application submittal, review, approval/disapproval and issue (including collection of fees). Aquaculture producers are currently faced with slow, complex, and often confusing permitting processes that must ...
SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration -
Adaptive Mapping of the Gulf Dead Zone with AutonomousSurface Vehicles
SBC: Autonomous Surface Vehicles (ASV), LLC Topic: 827TECHNICAL ABSTRACT: Gliders alone are incapable of monitoring the shallower regions of the hypoxic zone under conditions when the density gradient is strong, therefore surface vehicles are required to autonomously collect a suite of oceanographic observations from surface waters and profile this portion of the hypoxic zone. Autonomous Surface Vehicles, LLC (ASV, LLC) is partnering with Integral Co ...
SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration -
Deep Sea Vision AI: Deep Learning-Based Real-Time Marine Animal Detection for Entanglement Mitigation
SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC Topic: 832TECHNICAL ABSTRACT: The objective of this project is to develop and implement a real-time detection and warning system to mitigate marine entanglement events in offshore aquaculture operations. In order to achieve this, we leverage the latest advances in computer vision, deep learning, and real-time object detection to develop a real-time marine life detection, classification and tracking pipeline ...
SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration