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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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STTR Phase I: A Closed Loop Process for the recycle of End-of-Life Li-ion Batteries
SBC: Battery Resourcers LLC Topic: CTThe broader impact/commercial potential of this Small Business Technology Transfer Phase I project is to improve the recycling rates and efficiency of lithium ion (Li-ion) batteries, as well as lower the cost of cathode materials for Li-ion batteries. This research project will accomplish these goals by recovering cathode material from a broad spectrum of Li-ion battery regardless of size, shape o ...
STTR Phase I 2016 National Science Foundation -
STTR Phase I: ActivSignal Protein Profiling from Serum Exosomes for the Early Detection of Pancreatic Cancer
SBC: Activsignal, LLC. Topic: BMThis STTR Phase I project will develop a transformative platform for inexpensive screening for pancreatic cancer detection, based on profiling of cancer-related proteins from a small blood draw. Pancreatic cancer is one of the deadliest types of cancer, killing over 50,000 each year in the US, and with a five-year survival rate below 7%. However, currently there are no reliable diagnostic tests fo ...
STTR Phase I 2019 National Science Foundation -
STTR Phase I: Advanced Computational System for Assessing Genetic Provenance in Crop Plants and its Practical Applications
SBC: Prosapia Genetics LLC Topic: BTThe broader impact/commercial potential of this Small Business Technology Transfer (STTR) project will be the development of a highly accurate genotype analysis technique and the computational pipeline for assessing genetic provenance in crop plants. The commercial potential of the proposed products and services is based on the need to increase crop yield and accelerate breeding programs. The prop ...
STTR Phase I 2016 National Science Foundation -
STTR Phase I: Affinity Chromatographic Cell Sorting (AFFICS) System for Simultaneous Multiple Cell Separation
SBC: QT HOLDING CORP Topic: BTThe broader impact/commercial potential of this Small Business Technology Transfer (STTR) project will be the development of a cell sorting system to allow separation of two or more cell types to be used in cell therapies for treatment of cancer and other diseases. Purification of specific cell populations from complex materials such as blood is a critical component of cell therapy manufacturing. ...
STTR Phase I 2016 National Science Foundation -
STTR Phase I: A Machine Learning Toolbox to Identify Therapeutics for Rare Genetic Disorders from Phenotypic Screens on Micropattern-Based Organoids
SBC: RUMI SCIENTIFIC, INC. Topic: BTThe broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to develop a widely applicable, innovative pipeline for drug discovery against rare genetic disorders. While each orphan disease affects a small fraction of individuals, thousands exist, affecting 400 million people world-wide. The challenge to bring therapies to the clinics for diseases th ...
STTR Phase I 2019 National Science Foundation -
STTR Phase I: An integrated platform for the analysis of patient health record data to enable predictive clinical decision support
SBC: Dascena, Inc. Topic: SHThe broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to reduce preventable patient readmissions, streamline triage, and detect multi-organ diseases early. Currently, failures of care delivery and care coordination, overtreatment, and administrative complexity cost the American healthcare system an estimated 300 billion dollars per year, and a ...
STTR Phase I 2016 National Science Foundation -
STTR Phase I: An On-Demand Protein Engineering Platform
SBC: SYNVITROBIO, INC. Topic: BTThe broader impact/commercial potential of this Small Business Technology Transfer (STTR) project will be the development of a platform technology for high-throughput protein expression. The current standard for expressing panels of proteins involves extensive bioinformatics, cloning, in vivo expression, and assays. This method takes significant expertise in disparate fields, and weeks to months o ...
STTR Phase I 2016 National Science Foundation -
STTR Phase I: Authoring Tools for Virtual Role-Play
SBC: ALELO TLT LIMITED LIABILITY COMPANY Topic: EAThis SBIR Phase I project will develop a revolutionary new tool for creating engaging language-learning content. Educational publishers, teachers, and even students will be able to create artificially intelligent "virtual role-players" that converse in foreign languages, responding to either speech or text input. Large-scale on-line communities of educators will be able to create, customize, and s ...
STTR Phase I 2016 National Science Foundation -
STTR Phase I: Biomanufacture of Novel Heparan Sulfate Glycosaminoglycans
SBC: TEGA THERAPEUTICS INC Topic: BTThe broader impact/commercial potential of this Small Business Technology Transfer (STTR) project will be to commercialize novel sugar polymers known as glycosaminoglycan (GAGs) for a variety of important medical applications. GAGs are key components in a number of important physiologic and pathophysiologic conditions (e.g., tumor angiogenesis, thrombosis); however, developing a detailed understan ...
STTR Phase I 2016 National Science Foundation -
STTR Phase I: Book Discovery through Literary DNA
SBC: SkywriterRX Topic: ITThe broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project will be to bring modern data analytics to the book publishing industry and apply machine learning to extract and articulate human emotion as applied to the reading of literature for the first time in history. This innovation will dramatically change the way books are discovered, resulting in t ...
STTR Phase I 2016 National Science Foundation