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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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Anti-Reflective Surface structures for Infrared Non-linear Materials
SBC: NANOHMICS INC Topic: AF18AT016High-power, high-efficiency, broadly-tunable coherent sources in the mid-wave infrared (MWIR, λ=3–5 μm) spectral band are coveted for applications relating to infrared (IR) countermeasures, remote chemical sensing, and free-space optical communication. MWIR sources based on optical nonlinear frequency conversion can generate broadly-tunable kilowatt-level coherent radiation over the e ...
STTR Phase II 2019 Department of DefenseAir Force -
Rapid Discovery of Evasive Satellite Behaviors
SBC: DATA FUSION & NEURAL NETWORKS, LLC Topic: AF17CT02The problem addressed in this effort is to automatically learn historical ephemeris space catalog time, position, and velocity entity track update error uncertainties (i.e., without track error covariances) and to automatically (e.g., without expert event labeling) produce: – unmodeled non-gravitational space catalog update flags – abnormal unmodeled catalog update flags with abnorma ...
STTR Phase II 2019 Department of DefenseAir Force -
Autonomous Decision Making via Hierarchical Brain Emulation-- 19-009
SBC: METRON INCORPORATED Topic: AF19AT009The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...
STTR Phase I 2019 Department of DefenseAir Force -
Volume Digital Holographic Wavefront Sensor Phase 2
SBC: NUTRONICS, INC. Topic: AF18AT006Through the execution of our Phase 1 effort, Nutronics, Inc. and Montana State University developed an improved means to optimize the Pellizzarri cost functional for coherent imaging using digital holography. Our algorithm developed during the Phase 1 effort accelerates convergence times by a factor of 20-40 for the majority of scenarios evaluated. Our proposed Phase 2 effort has a two-fold focus: ...
STTR Phase II 2019 Department of DefenseAir Force -
Full Mueller Matrix Characterization of Imaged Samples using Digital Holography
SBC: POLARIS SENSOR TECHNOLOGIES INC Topic: AF18AT007The Phase II effort will be to clearly demonstrate the feasibility and build a prototype of a noncontact, high-quality holographic polarimetry system with pixel level depth and Mueller matrix information with a user-friendly interface to image and display this data. The measurements of each data product will be validated with trusted truth samples. The system will be reproducible and will have a d ...
STTR Phase II 2019 Department of DefenseAir Force -
Quantum Dot LED Array for IR Scene Projection
SBC: NANOHMICS INC Topic: AF18AT017Recent breakthroughs in the material quality and fabrication methods of III-V InAs/GaSb superlattice (SL) structures with a Type II band alignment has enabled high-performance MWIR detectors and LEDs. Nanohmic Inc. in collaboration with UT Austin proposes to develop Type II InGaSb/InAs quantum dot infrared light emitting diodes (QD-IRLED) for high-power infrared scene projection. This particular a ...
STTR Phase II 2019 Department of DefenseAir Force -
Biological Microdosimetry System
SBC: QUINC.TECH INC. Topic: AF18AT001The Biomagnetics Micro Dosimetry System (BMDS) program will design, model, and simulate a microdosimetry system that can measure and create a three dimensional map of weak radiofrequency signals in biological organisms. The heart of the BMDS project is the front end that delivers very sensitive, broad band measurements with high spatial resolution. The front end is a valuable tool in the investiga ...
STTR Phase II 2019 Department of DefenseAir Force -
Radio Frequency (RF) Filter Tuning Element
SBC: MAXENTRIC TECHNOLOGIES LLC Topic: AF18AT015To meet the requirements of the AF18A-T015 solicitation, MaXentric and University of California San Diego are proposing the development of a low loss, high linearity capacitor. The tunable capacitor target is a compact integrated design, capable of a tuning range up to 4:1, with a minimum Q of 80 at 4 GHz, and handling up to 20W CW. During phase I, UCSD studied a novel varactor structure to improv ...
STTR Phase II 2019 Department of DefenseAir Force -
Virtual Reality for Multi-INT Deep Learning (VR-MDL)
SBC: INFORMATION SYSTEMS LABORATORIES INC Topic: AF19AT010Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...
STTR Phase I 2019 Department of DefenseAir Force -
High Energy, Safe, and Long-Life Next Generation Batteries Using Liquefied Gas Electrolytes
SBC: SOUTH 8 TECHNOLOGIES, INC. Topic: AF19AT014The team at South 8 Technologies is the first to develop a novel and patented Liquefied Gas Electrolyte chemistry for rechargeable lithium metal batteries which meets these Air Force requirements. The proposed non-hazardous chemistry has already demonstrated world-record performance on the lithium metal anode (99.9% plating/stripping efficiency over hundreds of cycles) while maintaining high perfo ...
STTR Phase I 2019 Department of DefenseAir Force