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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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Cryo Thermal Management of High Power Density Motors and Drives
SBC: HYPER TECH RESEARCH INC Topic: 1We are solving the need to exceed 12kW/kg power density at takeoff for the motor, drive and thermal management system (TMS) for aircraft propulsion systems, In order to reach the overall systems targets called for in this solicitation, our program goal is to design and demonstrate an electric propulsion motor, drive, and TMS with a takeoff power of 17-20 kW/kg for a 2MW motor that can be scaled to ...
SBIR Phase I 2020 Department of EnergyARPA-E -
Flexible FlueCO2
SBC: LUNA INNOVATIONS INCORPORATED Topic: 1Luna Innovations (Luna) is developing FlueCO2, a process that enables traditional power generators to respond to increased variable renewable energy (e.g. wind and solar) while reducing greenhouse gas emissions. FlueCO2 is a combined membrane and gas compression technology that integrates into existing natural gas power plants and actively removes CO2 from the exhaust gas. The membrane separates C ...
SBIR Phase I 2020 Department of EnergyARPA-E -
STTR Phase I: Nuclear Magnetic Resonance Spectroscopy at Low Magnetic Fields
SBC: SCALAR MAGNETICS, LLC Topic: CTThis Small Business Technology Transfer (STTR) Phase I project will develop a novel method for chemical analysis using nuclear magnetic resonance (NMR) spectroscopy at moderate and low magnetic field strengths. A major cost and physical limitation of NMR spectroscopy is the high-field magnet typically required. Although high-field instruments face competition from smaller benchtop-sized instrument ...
STTR Phase I 2020 National Science Foundation -
Regenerative Therapy for Corneal Endothelial Dystrophies and Injuries
SBC: RASHMIVU LLC Topic: NSummary Worldwide, only 1 out of 70 patients with corneal endothelial dystrophies and injuries receive a corneal transplant due to the limited corneal donor pool, the need for advanced surgical facilities and talent, and expense. RashmiVu is developing a stem cell based regenerative technology that addresses this large unmet global need through a paradigm shift, wherein treatment could be as simpl ...
STTR Phase I 2020 Department of Health and Human ServicesNational Institutes of Health -
Decellularized xenograft leaflet patch for pulmonary valve repair in pediatric patients
SBC: TGen Tech, LLC Topic: NIBIBCongenital heart disease affects approximately 40,000 newborns each year in the U.S. Valve repairs are needed for pulmonary valve, particularly for patients with the diagnoses of tetralogy of Fallot, tetralogy of Fallot with absent pulmonary valve, tetralogy of Fallot with AV canal, pulmonary valvar stenosis, and pulmonary valvar atresia. An additional group are patients with a prior repair of tet ...
STTR Phase I 2020 Department of Health and Human ServicesNational Institutes of Health -
Spinal Reflex Conditioning System for Enhancing Motor Function Recovery After Incomplete Spinal Cord Injury
SBC: BIOCIRCUIT TECHNOLOGIES INC Topic: 999Project Summary Spinal Cord Injury (SCI) affects ~300,000 people in the US, with 11,000 new cases/year. After SCI, spinal reflex function becomes abnormal, contributing to motor impairments and spasticity that affects 65-78% of people with SCI. Thus, restoring the function of spinal reflex pathways is a major therapeutic goal. Current therapies are only moderately successful; motor function often ...
SBIR Phase I 2020 Department of Health and Human ServicesNational Institutes of Health -
ALURD: Automated Learning from Unsupervised Repositories of Data
SBC: ETEGENT TECHNOLOGIES, LTD. Topic: NGA201003Etegent proposes Automated Learning from Unsupervised Repositories of Data (ALURD). ALURD incorporates a trained detector to feed a semi-supervised discrimination apparatus that leverages state-of-the-art approaches.in semi-supervised learning (SSL). The need for automated labelling of overhead data is obvious, less obvious is that these unlabelled images provide an opportunity to improve auton ...
SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency -
N202-135- Model Based Systems Engineering for Tactical Data Link Systems
SBC: G2 OPS, INC. Topic: N202135The Multi-Functional Information Distribution System (MIDS) Joint Tactical Radio System (JTRS) is a four-channel radio; primary provider of the mission critical Link 16 and Tactical Targeting Network Technology waveforms; and key component of warfighter Blue Force Tracking capabilities across the Department of Defense, including some NATO allies. A large customer base creates logistical, configura ...
SBIR Phase I 2020 Department of DefenseNavy -
Near-Term Forecasting of Nonstationary Dynamic Processes
SBC: Potomac Research LLC Topic: HR001120S001908Prediction of complex dynamical systems is an important task that has implications in a wide variety of technological and policy domains. Accurate prediction of processes such as terrestrial and space weather, climate change, financial and economic markets, and pandemics can have profound policy and engineering impacts. As a result, diverse methods of time series prediction have been developed ...
SBIR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency -
Hybrid Digital Twin for Aircraft PHM
SBC: GLOBAL TECHNOLOGY CONNECTION, INC. Topic: N202105Global Technology Connection (GTC), in collaboration with its university partner, proposes to build a digital twin for the P-8 aircraft that continuously monitors the health of multiple components on the aircraft, and uses a combination of system level prognostics methods and machine learning methods to predict overall aircraft performance based on degrading components in the aircraft, and develop ...
SBIR Phase I 2020 Department of DefenseNavy