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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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Fiber-Coupled Hyperspectral Thermal LWIR Imaging Sensor Suite for Combustion System Diagnostics
SBC: SPECTRAL ENERGIES LLC Topic: AF17AT016The objective of the proposed Phase-II effort by Spectral Energies LLC is to design and develop a fiber-coupled hyperspectral thermal LWIR imaging sensor suite to provide reliable, accurate 2D surface temperature measurements with high flexibility in practical gas turbine engines and propulsion systems. During the phase-II efforts, our team will work with fiber manufacture on custom designing of a ...
STTR Phase II 2019 Department of DefenseAir Force -
Low Cost Data Acquisition Synchronization for Nuclear Physics Applications
SBC: KLIMA JOANNA Topic: 27bThe DOE Office of Nuclear Physics (NP) seeks innovations that will advance our nation’s capability to perform nuclear physics research, and more specifically to improve DOE Nuclear Physics (NP) Facilities and the wider NP community experimental programs. For example, data acquisition (DAQ) for the Facility for Rare Isotope Beams (FRIB), currently under construction, will require considerable spe ...
STTR Phase II 2019 Department of Energy -
Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams
SBC: KAIROS RESEARCH LLC Topic: AF19BT001Assess the feasibility of a novel technology which automatically generates human-understandable explanations of an artificial intelligence (AI) algorithm’s decisions – for example, a deep neural network’s (DNN’s) classification decisions. Our technology, called EMERALD (Explainable Machine Reasoning through the Application of Linked Data), is designed to improve trust a ...
STTR Phase I 2019 Department of DefenseAir Force -
Methane Harvesting for Seafloor Power Generation
SBC: MARITIME APPLIED PHYSICS CORP Topic: ST18C005The US Navy, industry and the scientific community is using and developing a variety of AUVs, underwater sensors, and other systems that can be easily deployed and operated with minimal maintenance or recurring costs. A primary hindrance to the long-term implementation of these systems is the availability of in situ energy. The concepts presented herein focus on the harvesting of methane from seep ...
STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency -
In Vivo Studies of a Novel HDAC Inhibitor for Treating Hemoglobin Disorders
SBC: Cetya Therapeutics, Inc. Topic: NHLBIPROJECT SUMMARY The β-hemoglobinopathies are prevalent genetic blood diseases with few treatment options. It is estimate that 7% of the worldandapos;s population carries an abnormal hemoglobin gene with 400,000 infants born annually with a severe life threatening hemoglobinopathy. Drug mediated induction of normal, but developmentally silenced, fetal hemoglobin (HbF) expression reduces anemia and ...
STTR Phase II 2019 Department of Health and Human ServicesNational Institutes of Health -
Ocean Surface Vector Winds (OSVW)
SBC: ATMOSPHERIC & SPACE TECHNOLOGY RESEARCH ASSOCIATES LLC Topic: N16BT026Ocean surface winds are critically important in naval operations. They may aid, hinder, or negate maneuvers and operations, and are a primary consideration in routing ships. Continuous and reliable information on favorable and unfavorable sea state is critical for a broad range of naval missions, including strategic ship movement and positioning, aircraft carrier operations, aircraft deployment, e ...
STTR Phase II 2019 Department of DefenseNavy -
Novel Development of an Intelligent Quench Detection (QD) Method for HTS Coils
SBC: TAI-YANG RESEARCH CO Topic: N19AT016Energy to Power Solutions (e2P) has teamed with quench detection (QD) expert Dr. Yuri Lvovsky (retired GE), Dr. Sastry Pamidi of the Center for Advanced Power Systems (FSU-CAPS), and American Superconductor Corporation (AMSC) to design, fabricate, and test a robust, reliable, and low cost QD system. e2P’s proposed system is a vastly different quench avoidance system that will provide multiple le ...
STTR Phase I 2019 Department of DefenseNavy -
Processes for Fabrication of Atomically Precise Strongly Correlated Materials
SBC: XALLENT INC. Topic: ST17C002Developing knowledge-driven nanoelectronics for military applications requires understanding the fundamental physics that governs the behavior of the underlying material. Strongly correlated materials have very desirable properties such as interfacial superconductivity, ferroelectricity, ferromagnetism, and huge magnetoresistance, which make them an ideal set of candidates to integrate with semico ...
STTR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency -
Provably Convergent Game-Theoretic Coordination for Space Vehicle Swarms
SBC: ASTER LABS INC Topic: T4This program will develop a communication-less solution to decentralized control and task coordination for multi-agent systems (MAS). Reducing the operational burden of MAS swarms on human operators will greatly improve the capability of spacecraft constellations and distant planetary explorations. The proposed solution would guide the MAS towards a cost minimized set of actions by performing grad ...
STTR Phase I 2019 National Aeronautics and Space Administration -
Carbon nanotube coatings on electrochemical textured surfaces for advanced adsorptive baffles
SBC: Faraday Technology, Inc. Topic: MDA18T003This proposed STTR program addresses the challenge of developing advanced absorptive baffles to minimize stray and reflected light across the visible and infrared wavebands for exo-atmospheric optical sensors and seeker telescopes. To achieve this goal Faraday Technology and Pacific Northwest National Laboratory will develop electrochemically textured pyramidal surfaces with CNT black coatings as ...
STTR Phase I 2019 Department of DefenseMissile Defense Agency