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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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Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.
SBC: SENVOL LLC Topic: DLA18A001The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...
STTR Phase I 2018 Department of DefenseDefense Logistics Agency -
Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery
SBC: TOYON RESEARCH CORPORATION Topic: 1On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...
STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Explainable Query Refinement for Human Machine Teaming
SBC: KITWARE INC Topic: SOCOM18B001The Intelligence, Surveillance and Reconnaissance (ISR) analysts have a challenging task to extract useful information from huge volumes of data from various sources like Full Motion Video (FMV), Wide Area Motion Imagery (WAMI), satellite imagery, Synthetic Aperture Radar (SAR), and others. Modern Machine Learning (ML) algorithms based on deep learning have greatly advanced computer vision, speech ...
STTR Phase I 2019 Department of DefenseSpecial Operations Command -
Improving Analysis of Large Multidimensional Data through Parallel Processing & Explorative Visualization
SBC: Frontier Technology Inc. Topic: MDA18T001Using a combination of parallel processing and explorative visualization, a new and exciting solution for high-performance visual analysis of large multidimensional data is proposed. Steady volume flows are selected to demonstrate the strategy, methodology, techniques, and functionalities. Virtual Reality (VR) and Augmented Reality (AR) platforms will be adopted to unleash the power of explorative ...
STTR Phase I 2019 Department of DefenseMissile Defense Agency -
Low Toxicity, Non-cryogenic Liquid Propellant Upper Stage Engine
SBC: Science and Technology Applications, LLC Topic: MDA18T005Our vision for the next generation missile and space propulsion engine is a flexible and non-toxic propulsion technology using HAN/kerosene, offering variable thrust with a high degree of mission tailoring. Additionally, high bulk density of HAN/kerosene bi-propellant improves stage mass fraction and delivers performance metrics that exceed current toxic storable propellants. We propose an innovat ...
STTR Phase I 2019 Department of DefenseMissile Defense Agency -
Storable Clean Ethane/ethylene Nitrous Engine (SCENE)
SBC: PIONEER ASTRONAUTICS Topic: MDA18T005he Storable Clean Ethane-ethylene Nitrous Engine (SCENE) is a proposed technology designed to provide upper stages and spacecraft with non-toxic, liquid, non-cryogenic, high-performance propulsion with an Isp on the order of 300 seconds. The propellant components are stored as liquids under their saturated vapor pressures. With the SCENE, nitrous oxide is used as an autogenously pressurized oxidiz ...
STTR Phase I 2019 Department of DefenseMissile Defense Agency -
Uncertainty Reduction in High Speed Flight Vehicle Modeling
SBC: M4 ENGINEERING, INC. Topic: MDA18T006Uncertainty Reduction in High Speed Flight Vehicle Modeling | Approved for Public Release 18-MDA-9707 (3 Jul 18)
STTR Phase I 2019 Department of DefenseMissile Defense Agency -
Equester Green Propellant Turbopump
SBC: EXQUADRUM INC Topic: MDA18T005During the proposed Phase 1 research and development effort, the project team will design an innovative turbopump system for a target vehicle upper stage using “Green" liquid propellants that meet Missile Defense Agency's requirements. The use of a turbopump will result in an upper stage that has a greater than 50% improvement in delta velocity in comparison to a previously designed, pressure fe ...
STTR Phase I 2019 Department of DefenseMissile Defense Agency -
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 -
Non-Intrusive Uncertainty Identification and Quantification Framework for Hypersonic Flights
SBC: CFD RESEARCH CORPORATION Topic: MDA18T006Uncertainty Reduction in High Speed Flight Vehicle Modeling | Approved for Public Release 18-MDA-9707 (3 Jul 18)
STTR Phase I 2019 Department of DefenseMissile Defense Agency