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.
-
Discovery
SBC: Semandex Networks Inc. Topic: SB171005During the phase I effort, Semandex Networks and its team designed and implemented a proof-of-concept cloud-based application for knowledge navigation and document discovery that combines powerful text analytics with an intuitive UI. The prototype capability is poised to transform current data archival systems into meaningful connected information. The proof-of-concept prototype developed during t ...
SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency -
Ultra-Low H2 Permeable, Tough 3D Filament Wound Cryotank
SBC: NANOSONIC INC. Topic: SB162014NanoSonic has designed and physically produced a lightweight (< 0.6 lb/ft2), leak-tight (holds liquid N2), composite cryotank that retains its mechanical toughness upon simulated Low Earth Orbit (LEO) irradiation. NanoSonic's "Chill Pill" capsule and advanced composite filament wound design is predicted to meet the weight requirements of < 175 lb for a 350 ft3 volume cryotank and cut the cost thre ...
SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency -
Low-Cost, Multi-Channel Arbitrary Waveform Generator
SBC: TRIDENT SYSTEMS LLC Topic: A07114In this work, Trident will develop a 3U VPX multi-channel arbitrary waveform generator and digitizer for high reliability Multifunction-RF applications.At its core, the proposed Advanced Data Converter Module (ADCM) will utilize the latest high reliability data converter technologies and design techniques to enable multi-channel, synchronized data conversion.It will provide the combination of high ...
SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency -
Adaptive Control and Advanced Sensing for Turbine Based Combined Cycle Vehicles
SBC: Innoveering, LLC Topic: SB171014Development of air vehicles capable of routine operation and able to achieve hypersonic speeds is paced by the availability of a propulsion system. The vision is to combine improved off-the-shelf turbines for low-speed operation (M=0 to 2+) and dual-mode ramjet (DMSJ) engine technologies for high-speed operation (M=2+ to 5+), with both engines sharing a common air inlet and a common thrust produci ...
SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency -
Cross-Domain Signal Extraction Using Sparse Network Sampling
SBC: IVYSYS TECHNOLOGIES, LLC Topic: A11028This research project seeks to adapt signal processing algorithms developed for the detection and estimation of weak RF network signals to the application of detecting weak social media signals diffusing across multiple, heterogeneous social networking environments (SNEs). We propose to develop quantitative predictive models that capture the dynamics of information diffusion processes over multipl ...
SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency -
Distributed Immutable Data Objects (DIDOs): A Simpler Blockchain for Security, Confidentiality, Resiliency, and Scalability
SBC: HARMONIA HOLDINGS GROUP, LLC Topic: SB162004We propose a system called Distributed Immutable Data Objects (DIDOs). It provides a distributed network capability for secure real-time communication and collaboration of documents. DIDOs will track meta-data of message communication operations, showing who modified what in an unmodifiable blockchain ledger. Traditional methods are centralized, unencrypted, expensive, inefficient, brittle and sub ...
SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency -
Code Interposition Framework for Mobile Cyber Applications
SBC: KRYPTOWIRE, LLC Topic: SB171006This proposal aims to provide a general framework for cross-layer instrumentation of mobile applications for Android platforms. Our approach uses static and dynamic binary analysis to identify known functional code blocks and libraries in mobile applications. For each Android platform, we have created a list of mobile Application Programming Interfaces (APIs) method calls and external shared libra ...
SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency -
Identification and Modification of Features in Embedded Devices
SBC: RED BALLOON SECURITY, INC. Topic: SB0142002Unlike conventional computers, the embedded computers found in vehicles, routers and other Internet of Things devices lack the capability to have their software remotely updated. Vulnerabilities discovered in such devices remain unpatched, creating a large and growing attack surface. We propose to address this limitation in our Identification and Modification of Features in Embedded Devices (IMFED ...
SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency -
Distributed, Large Scale Spectrum Measurement and Analysis
SBC: SHARED SPECTRUM COMPANY Topic: SB162011Shared Spectrum Company (SSC), Intelligent Software Solutions (ISS), and the University of Tennessee at Chattanooga (UTC) propose to develop and demonstrate an innovative method for a large number (~50) of low altitude UAV to obtain information on spectrum use and activities. Our approach has multiple innovations: (1) ISS’s Seer, a “fuzzy” multi-hypothesis abductive reasoning system that pro ...
SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency -
Explainable AI to support Veterans Transition Assistance Programs (XAI-VTAP)
SBC: SOAR TECHNOLOGY INC Topic: SB163007A challenge for Artificial Intelligence recommenders is explaining their reasoning to users. Humans tend to explain concepts with symbolic narratives, which contrasts the way non-symbolic machine learning represents concepts. This research addresses this challenge by grounding the research in the problem of helping transitioning veterans find relevant careers. The developed prototype will provide ...
SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency