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.
-
Bounding generalization risk for Deep Neural Networks
SBC: Euler Scientific Topic: NGA20A001Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels. In an ...
STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency -
Algorithms for Look-down Infrared Target Exploitation
SBC: SIGNATURE RESEARCH, INC. Topic: NGA18A001The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...
STTR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency -
Low Visibility Radio Frequency Resonator
SBC: VIRTUAL EM INC. Topic: SOCOM19A001A prototyping effort is being proposed to develop methods and tools for utilizing structures of opportunity as efficient radiations in the HF, VHF and UHF bands.
STTR Phase II 2020 Department of DefenseSpecial Operations Command -
Human-Machine Teaming with Machine Learning Algorithms
SBC: KITWARE INC Topic: SOCOM18B001Characterizing and understanding the interactions between human and machine plays an important role in extracting the most out of our machine learning algorithms while reducing human workload. We propose to develop a software prototype system that reduces user workload of exploiting AI algorithms for imagery exploitation. We will design a user-friendly system for content matching with interactive ...
STTR Phase II 2020 Department of DefenseSpecial Operations Command -
Incident Surveillance Management System (ISMS)
SBC: Geospatial Systems, Inc. Topic: N/AGeospatial Systems and Rochester Institute of Technology (RIT) have teamed with Leica Geosystems to develop an Incident Surveillance Management System (ISMS) that can ingest data from remote sensing systems, reduce that data, and deliver information products to decision makers in near real time. The information products are consistent with accepted practice within the NIMS community and utilize st ...
STTR Phase I 2006 Department of Homeland Security -
Adaptive camera to display mappings using computer vision
SBC: POLAR RAIN, INC. Topic: N/AThe video surveillance industry is experiencing dramatic change with the move from analog to digital video. Command centers need to have coordinated viewing of multiple camera feeds at one time, and the ability to switch automatically between feeds and display relevant patterns. Conventional security control rooms include a bank of monitors connected through a switch to an array of security camera ...
STTR Phase I 2006 Department of Homeland Security