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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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A Digital System-On-Chip CO2 Sensor
SBC: N5 SENSORS INC Topic: DEFOA0001738N5 Sensors have teamed up with University of Tennessee, Molecule Works Inc., and Syracuse University Center of Excellence for Environmental and Energy Systems to develop and commercialize a breakthrough digital system-on-chip (SoC) CO2 sensor technology that will satisfy the ARPA-E’s SENSOR program’s energy saving goal in commercial and residential buildings. This project represent a collabora ...
SBIR Phase I 2018 Department of EnergyARPA-E -
A Digital System-On-Chip CO2 Sensor
SBC: N5 SENSORS INC Topic: DEFOA0001738N5 Sensors have teamed up with University of Tennessee, Molecule Works Inc., and Syracuse University Center of Excellence for Environmental and Energy Systems to develop and commercialize a breakthrough digital system-on-chip (SoC) CO2 sensor technology that will satisfy the ARPA-E’s SENSOR program’s energy saving goal in commercial and residential buildings. This project represent a collabora ...
SBIR Phase II 2018 Department of EnergyARPA-E -
A Digital System-On-Chip CO2 Sensor
SBC: N5 SENSORS INC Topic: DEFOA0001738N5 Sensors have teamed up with University of Tennessee, Molecule Works Inc., and Syracuse University Center of Excellence for Environmental and Energy Systems to develop and commercialize a breakthrough digital system-on-chip (SoC) CO2 sensor technology that will satisfy the ARPA-E’s SENSOR program’s energy saving goal in commercial and residential buildings. This project represent a collabora ...
SBIR Phase II 2018 Department of EnergyARPA-E -
Development of a Rapid Monitoring System for Detection of Pathogens in Marine Aquaculture Operations
SBC: INNOVAPREP LLC Topic: 836TECHNICAL ABSTRACT: InnovaPrep proposes to develop a rapid sample-to-answer monitoring system for detecting pathogens in marine aquaculture waters. An assessment of industry needs will include a kickoff meeting with NOAA and a visit to Toby Island Bay Oyster Farm. Following the assessment and report, a TRL-4 breadboard prototype system will be developed that will include the combination of sample ...
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 -
ISABEL- Integrated Secure Automated Bug Extraction List
SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC Topic: NAThe ISABEL program will create symbolic execution signatures to classify bugs in the NIST Bugs Framework. Using the symbolic execution signature ISABEL will find a program input to trigger the bug using fuzz testing. ISABEL will integrate its bug categorization and bug triggering capability with a software development environment using a flexible framework that will allow both open source and comm ...
SBIR Phase I 2017 Department of CommerceNational Institute of Standards and Technology -
3-D Digital Image Correlation Based Non-Destructive Testing System for Qualification of Additive Manufacturing Parts
SBC: X-Wave Innovations, Inc. Topic: NANIST's seeks a high resolution DIC technology for qualification of complex AM parts. To meet this critical need, X-wave Innovations Inc. proposes to develop a 3-Dimentional Digital Image Correlation (3-D DIC) based NDT system. The proposed effort builds upon the success of XII in developing a variety of NDT technologies (including DIC system) for advanced materials evaluation. The success of the p ...
SBIR Phase I 2017 Department of CommerceNational Institute of Standards and Technology -
Nanometer Precision Absolute Linear Interferometer
SBC: AUTOMATED PRECISION, INC. Topic: 090101The goal of this Phase I project is to develop an affordable, accurate, and rapid absolute interferometric length measurement technique with improved repeatability and accuracy. API has a patent-pending technology, Frequency-Modulated Time-to-Frequency Mapping Interferometer (FM-TFMI), that is an absolute interferometer capable of measuring at high speed and with exceptionally high accuracy. The T ...
SBIR Phase I 2016 Department of CommerceNational Institute of Standards and Technology -
High-Throughput Low-Cost Manufacturing of Engineered MRI Contrast Agents
SBC: WEINBERG MEDICAL PHYSICS, INC. Topic: 90103New shape-engineered iron-based microscopic contrast agents (MCAs) for magnetic resonance imaging promise to increase diagnostic accuracy while reducing side effects, and enhance scientists’ ability to track stem cells. Currently, techniques used for making multispectral microscale contrast agent particles are cost prohibitive. In Phase I, an innovative technique (employing template-guided elect ...
SBIR Phase II 2016 Department of CommerceNational Institute of Standards and Technology -
Resonant Scan Lens for Scanning Beam LIDAR
SBC: z-senz LLC Topic: 90501The objective of this Phase II project is to research, develop, and commercialize a resonant scan lens (RSL) for use in a resonant light detection and ranging (R-LIDAR) distance sensor. R-LIDAR uses a resonant optomechanical system to generate a beam scan. While resonant optomechanical systems produce high-speed and large field-of-view (FOV) scans from a miniature form factor, the beam scans lack ...
SBIR Phase II 2016 Department of CommerceNational Institute of Standards and Technology