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Award Data
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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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Commercial Verde
SBC: Fernandez, Steven Topic: 851Public and commercial application of NOAA developed products such as climate observations, weather products, and datasets are underutilized by public decision makers, infrastructure asset owners, or the public. Communities realize the risk posed by increases in storm intensity, flooding, and heat waves. However, communities lack understandable models targets to stakeholder questions that are affor ...
SBIR Phase I 2015 Department of CommerceNational Oceanic and Atmospheric Administration -
Portable high precision nitrogen gas analyzer for eddy covariance flux measurements
SBC: SOUTHWEST SCIENCES INC Topic: 861XRecent theoretical studies of eddy flux correlation have suggested that the commonly used assumption of dry air having no net flux is erroneous and can lead to significant errors in reported observations. Presently, dry air density is calculated indirectly from measured temperature, pressure and relative humidity, all of which contribute to increased uncertainties in the result. If instead the den ...
SBIR Phase I 2015 Department of CommerceNational Oceanic and Atmospheric Administration -
GlobalSense: A New Atmospheric Observing System Featuring Innovative Airborne Probes
SBC: MANO NANOTECHNOLOGIES INC Topic: 861XThe underlying framework for modern-day weather forecasting is numerical weather prediction (NWP). Even the current and planned weather observing platforms leave gaps that are insufficient to meet the requirements of NWP. Mano Nanotechnologies, Inc. proposes a new environmental sensing system, known as “GlobalSense”, which will enable transformational forecast improvements by filing these crit ...
SBIR Phase I 2015 Department of CommerceNational Oceanic and Atmospheric Administration -
High Temperature High Resolution in-situ Differential Pressure Sensor
SBC: Innoveering, LLC Topic: 90105Chemical manufacturers require high accuracy and high sensitivity pressure sensors to efficiently monitor the various manufacturing systems and processes in the chemical plant, to ensure any changes proceed in a safe and reliable manner, adhering to expected standards and practices. In addition, NIST has a need for highly accurate absolute and differential pressure measurements, especially for det ...
SBIR Phase I 2016 Department of CommerceNational Institute of Standards and Technology -
High Temperature High Resolution in-situ Differential Pressure Sensor
SBC: Innoveering, LLC Topic: NAChemical manufacturers require high accuracy/high sensitivity pressure sensors to efficiently monitor the various manufacturing systems and processes in the chemical plant, to ensure any changes proceed in a safe and reliable manner, adhering to expected standards and practices. NIST also has a need for highly accurate pressure measurements, especially determining the thermo-physical properties of ...
SBIR Phase II 2017 Department of CommerceNational Institute of Standards and Technology -
Continuous Learning for Additive Manufacturing Processes Through Advanced Data Analytics
SBC: SENVOL LLC Topic: NAAdditive manufacturing (AM) is a promising manufacturing technique for end-use parts that can solve challenges for American manufacturers in many industries, e.g. aerospace, defense, automotive, energy, and healthcare. However, despite the potential that AM offers, the rate of AM adoption in industry is very slow. This is because AM suffers from low repeatability and quality consistency issues, wh ...
SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology -
Nanomachine Device for Semiconductor Process Control Monitoring
SBC: XALLENT INC. Topic: NoneConventional characterization and test methods are increasingly ineffective when applied to structures less than 100 nanometers, causing challenges across R&D, process control and failure analysis. An increasing number of subtle defects become prominent drivers of failure as device size and operating margins decrease, e.g., processing anomalies in thin gate oxides, substrate problems related to do ...
SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology -
An Optical Imaging System to Characterize Mechanical Deformation at Microscopic Length Scale
SBC: ADDITIVE MANUFACTURING INNOVATIONS LLC Topic: 90Additive Manufacturing Innovations LLC (AM-Innov) in collaboration with Clarkson University and Naval Research Laboratory (NRL) proposes a new optical imaging system to characterize microscopic deformation of materials. The system, named as a Mechanical Testing at Microscale system (MT@micro), uses a micro-tensile testing device to mechanically load the specimen uniaxially and an optical imaging p ...
SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology -
Dynamic Incident Intelligence System, Utilizing Adaptation to Real-Time Information
SBC: Emergent Health Care Solutions Topic: 90Emergent Healthcare Solutions proposes to research the feasibility of a dynamic cloud-based incident Intelligence System called Emergent Cloud. Emergent Cloud is an application service providing firefighters and Emergency Medical Technicians access to an interactive incident roadmap and real-time workflow and record keeping. The general aim of the proposed project is to revolutionize the user expe ...
SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology -
Standardizing Grease Sampling and Characterization By Automated Online Device
SBC: POSEIDON SYSTEMS, LLC Topic: 90Scheduled grease sampling is one of the more reliable methods for detecting mechanical issues within machinery. Offline laboratory‐based analysis of the grease can indicate component failures, such as spalling via high concentrations of ferrous particulates. However, consistency, costs, and frequency of sampling are less than ideal. Manually collecting grease samples can put personnel in danger ...
SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology