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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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High-resolution/high-precision PEM Quality Control
SBC: RESONON, INC. Topic: C5618hHigh-quality, defect free, and consistent thickness Proton Exchange Membrane (PEM) films are required to ensure maximum efficiency and longevity over the life of hydrogen fuel cells or electrolyzers utilizing this technology. The current technologies of PEM film Quality Assurance (QA) and defect detection rely on human inspection, which can be subjective and labor intensive, or measurement technol ...
SBIR Phase I 2023 Department of Energy -
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 -
Automated monitoring of salmonoids in streams with new solid-state LiDar
SBC: Field Data Services, LLC Topic: 93Maintaining healthy populations of salmon and trout (salmonids) has significant biological, cultural, and economic benefits. Significant data gaps exist for sources of mortality in juvenile and adult salmonids in small streams. These gaps can create discrepancies between main stem escapement counts and estimates of population health. Field Data Services, LLC is developing novel camera trap technol ...
SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration -
Development of robust fully autonomous machine learning-based cloud processing for Infrared Cloud Imagers
SBC: NWB SENSORS INC Topic: C5326bCloud cover is an important but poorly characterized component of current climate models. In particular, there is a need to detect and quantify cloud cover in a physically meaningful manner. This need has led to the development of infrared cloud imagers. This system uses long-wave infrared cameras to observe the thermal emission from the clouds and produces a measurement of spatially distributed c ...
SBIR Phase I 2022 Department of Energy -
Waveguide-based squeezed light sources
SBC: ADVR, INC. Topic: C5305aSqueezed light sources are a critical component of continuous variable quantum networking and quantum computing systems. Periodically poled nonlinear optical waveguides are a promising technology for squeezed light sources due to high conversion efficiency, long interaction length, robust fiber coupling, and integration potential. While these waveguides are available commercially, they are not opt ...
SBIR Phase I 2022 Department of Energy -
The pHyter and Other Oceanographic Tools for Citizen Science and STEM
SBC: SUNBURST SENSORS, LLC Topic: 95The pHyter is a handheld device that accurately measures pH using colorimetry, communicating with a cellphone via Bluetooth Low Energy. The app records location, time, temperature, pH and meta-data. In Phase I, we redesigned the instrument using an ‘internet of things’ development platform, modified the app to operate on both Android and iOS phones, and showed, through a network of partners, t ...
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 -
Automated Monitoring of Salmon Streams with a New Solid-State LiDAR
SBC: FIELD DATA SERVICES LLC Topic: 93Field Data Services (FDS) proposes a technical feasibility study of newly available solid state LiDAR sensor chips for detecting migrating anadromous fish in small spawning streams. The LiDAR chip, first introduced in October 2020, uses an invisible infrared laser to measure time-of-flight distances to nearby objects with millimeter accuracy. This tiny computer chip is breakthrough technology that ...
SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration -
Optimized source of non-Gaussian states for use in hybrid discrete/continuous variable quantum information processing schemes
SBC: ADVR, INC. Topic: C5305aThe US Department of Energy is developing long-distance optical quantum networks, establishing the need for commercial-grade photonic quantum light sources. There is a need to determine the optimal sources and information encoding schemes while the technologies are developed, possibly varying by application. Investigation of the merits of encoding schemes in parallel with commercial development of ...
STTR Phase I 2022 Department of Energy -
Commercial Production of Low-Loss Quantum Frequency Conversion and Electro-Optical Modulation Devices Enabled by Wafer-Level Processing of Reverse-Proton-Exchange Lithium Niobate Waveguides
SBC: ADVR, INC. Topic: C5106aQuantum optical networks will require all optical signal processing that is enabled by lithium niobate-based components. While many of these components are commercially available, they are not optimized for the ultra-low optical losses required for quantum applications. This program will develop refined processing techniques to fabricate ultra-low loss lithium niobate- based components, initially ...
SBIR Phase II 2022 Department of Energy