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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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AeroLite Sense: Atmospheric Aerosols and Particulates Observations from the Stratosphere
SBC: STRATOSOLUTIONS INC Topic: 91The long endurance “StratoSonde” lighter-than-air, uncrewed system combines a low-cost, 5day endurance StratoSonde supports up to 10 micro-dropsondes, which when released from the HAB, descend safely through the entire atmospheric column under a ribbon drogue while reporting observations directly back to the HAB. This project will assess the feasibility of integrating a disposable miniature ae ...
SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration -
Artificial Intelligence (AI) based algorithms for predictive maintenance using NOAA data-sets for renewable energy assets
SBC: 60Hertz Incorporated Topic: 92This research aims to develop decision support tools for better maintenance and planning of renewable energy generation and storage assets using atmospheric, local weather, and on-ground environmental data blended with site-, regional- and national-generation data. The study will use a combination of these data to understand the relationship between non-cloud cover based atmospheric conditions and ...
SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration -
Stratospheric HAPS for enhancing societal resilience to extreme weather
SBC: STRATOSOLUTIONS INC Topic: 94There is a clear need to improve weather forecasting accuracy. The greatest contributions to forecast uncertainty is a lack of meteorological observations over remote areas and areas experiencing pronounced convective activity. StratoSolutions’ new high-altitude balloon (HAB) platform with mini-dropsonde is a disruptive new uncrewed meteorological observation data source able to collect data at ...
SBIR Phase II 2022 Department of CommerceNational Oceanic and Atmospheric Administration -
Artificial Intelligence (AI) based algorithms for predictive maintenance using NOAA data-sets for renewable energy assets
SBC: 60Hertz Incorporated Topic: 92We propose to use Aerosol Optical Depth (AOD) measurements as an early warning system, to cue on-site validation of the soiling station and any available meteorological (MET) station data to validate if a work order to clean deposited particulate matter is necessary. This would move from reactive maintenance – often weeks delayed, to proactive maintenance – getting ahead of the weather impact ...
SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration -
Live and Continuous Monitoring of Metal Cylinders and Tanks using Distributed Carbon Nanomaterial-based Sensing Networks
SBC: MCET TECHNOLOGIES LLC Topic: 22PH1This SBIR effort proposes using live and continuous monitoring of metal tanks, pressure vessels, and pipelines using carbon nanomaterial-based sensing skins to detect excessive physical strains, cracks, and to inspect impact damage. The proposed research and development work leverages 15+ years of fundamental research. The key objective is to advance the TRL level and the scalability of carbon nan ...
SBIR Phase I 2022 Department of Transportation -
Child Safety Using Optical and V2X Digital Alerting Technology to Bring School Buses and Students on the Vehicle Grid for Collision Prevention
SBC: Haas, Inc. Topic: 21NH1Across the nation, school buses drive our kids to and from school, in rural, suburban, and large cities – all having the same problem: safely transporting school children. This proposal calls out (1) there is no school bus V2X solution that exists in any meaningful scalable way today (2) there is no readily available solution to solve for school children being struck during evening hours when vi ...
SBIR Phase II 2022 Department of Transportation -
Stratospheric HAPS for enhancing societal resilience to extreme weather
SBC: STRATOSOLUTIONS INC Topic: 94Remote areas, particularly over the oceans, represent regions with the least observation coverage and contribute significantly to reducing the potential accuracy of Numerical Weather Prediction (NWP) models. In addition to space-based observations, dropsondes are possibly the only viable meteorological sensors for use over remote areas, where there is no cost-effective approach to permit regular r ...
SBIR Phase I 2021 Department of CommerceNational Oceanic and Atmospheric Administration -
Child Safety Using Optical and V2X Digital Alerting Technology to Bring School Buses and Students on the Vehicle Grid for Collision Prevention
SBC: Haas, Inc. Topic: 21NH1Across the nation, school buses drive our kids to and from school, in rural, suburban, and large cities – all having the same problem: safely transporting school children. This proposal calls out (1) there is no school bus V2X solution that exists in any meaningful scalable way today (2) there is no readily available solution to solve for school children being struck during evening hours when vi ...
SBIR Phase I 2021 Department of Transportation -
Artificial Intelligence for Monitoring Crossing Infrastructure and to Improve Grade Crossing Safety
SBC: WI-TRONIX, LLC Topic: 20FR2Founded in 2004, the mission of Wi-Tronix is to improve railway safety, operational efficiency, and service reliability, in real-time. We are the preferred connected solutions provider to over one-third of all locomotives in North America. Wi-Tronix is proposing to leverage our expertise in developing and making commercially available AI based technologies for autonomous highway-rail grade crossin ...
SBIR Phase II 2021 Department of Transportation -
Development of a Deep Learning Model for Predicting and Correcting Sintering Deformation of Printed Metal Components
SBC: AI SOLUTIONS LLC Topic: 2While a number of different technologies for 3D printing metal parts exist, all of them rely on forming parts sequentially out of individual metal powder particles. They are thus prone to producing parts that initially contain microscale gaps, bubbles and other weaknesses. In order to correct for this and produce reliable, production-quality parts, the printed components must be subjected to sinte ...
SBIR Phase I 2021 Department of CommerceNational Institute of Standards and Technology