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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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UrbanScale: Physics Informed Deep Learning Framework to Generate High-Resolution Urban Temperature Data
SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC Topic: 91Elevated temperatures observed in urban areas have significant implications for human health, energy consumption and infrastructure reliability, and their negative effects disproportionately impact disadvantaged populations. Increasing scientific and practical understanding of urban heat islands is an important step in identifying those regions at elevated risk, and effective mitigation strategi ...
SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration -
Family-based breeding for production of higher-yielding Manila clam seed
SBC: PACIFIC HYBREED INC Topic: 93Farming of marine bivalves provides high-quality protein and has a positive impact on the coastal environment. The U.S. is a top producer of the Manila clam (Japanese carpet shell, Ruditapes philippinarum) with reported sales of $31 M in 2019. Production of clams, however, has depended almost entirely on seed from wild stocks and natural recruitment, leaving the industry vulnerable to ocean change ...
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: 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 -
pHyter: An Oceanographic Tool for Citizen Science and STEM Education
SBC: SUNBURST SENSORS, LLC Topic: 95NOAA SBIR topic 9.5 includes as a research priority the development of tools, platforms, … to make environmental information… more accessible, usable, understandable, and relatable to students, citizen scientists, and the public. Sunburst Sensors has twice used NOAA SBIR funding to successfully create new products. We propose using phase 1 funding to demonstrate the prototype pHyter as a tool ...
SBIR Phase I 2021 Department of CommerceNational Oceanic and Atmospheric Administration -
DeepSpace-AI- A Deep-Learning Based Offshore Monitoring System Using Satellite Imagery
SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC Topic: 93High-resolution images from satellites and airplanes have become ubiquitous in the current digital landscape, and readily available to the public. In recent years, deep learning approaches, and in particular deep convolutional neural networks have revolutionized computer vision. Such deep learning models thrive with an abundance of data, creating enormous potential at the nexus of computer vision ...
SBIR Phase I 2021 Department of CommerceNational Oceanic and Atmospheric Administration -
DeepCTIS: A New Low-Cost Hyperspectrual Imaging Module and Distributed Deep Learning Platform to Combat Illegal, Unreported, and Unregulated Fishing in the Marketplace at Scale
SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC Topic: 9202We propose an innovative yet straightforward approach to developing and delivering a readily deployable product to support combating IUU. We combine newly available low-cost hyperspectral sensors with state-of-the-art deep learning-based real-time data processing and deploy it on high-availability commodity cloud computing hardware - our solution is compatible with both existing systems as well as ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration -
Manufacturing Ropeless gear to be used in commercial Lobstering/Crabbing and other bottom set fishing industries, use of this gear will reduce entanglement of North Atlantic Right Whales/marine life
SBC: Crab Raft Inc Topic: 9204The North Atlantic Right Whale and other large marine species have experienced dramatic negative effects by entanglement with bottom set fishing gear. Crab Raft Inc. has developed, tested and demonstrated innovative, truly Rope-Less Fishing Gear, targeted primarily for the Crab and Lobster fishing industries. With no ropes, Crab Raft Inc. Fishing Gear has no entanglement potential. This innovativ ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration -
Pictoword School: Combining AI (Machine Learning) and Game-Based Learning to Support English Learners
SBC: KOOAPPS LLC Topic: 91990020R0006KooApps previously developed Pictoword, an application that uses visual, puzzle, and game-based mechanics for players to build fun vocabulary words by combining pictures. In this Phase I project, the team will develop a new prototype intended to personalize the learning experience for individual students who are English learners (ELs) to build their English vocabulary. The prototype will include a ...
SBIR Phase I 2020 Department of EducationInstitute of Education Sciences -
vCoder and AI Assisted Learning
SBC: BEACH DAY STUDIOS LLC Topic: 91990020R0006The researchers will further develop their existing vCoder, an immersive virtual reality (VR) game for students to learn to code. This project will develop an artificial intelligence component to customize pathways to optimize how individual students learn to code. At the end of Phase I, in a pilot study with a middle school class, the researchers will examine whether the prototype functions as pl ...
SBIR Phase I 2020 Department of EducationInstitute of Education Sciences