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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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Reliable 5W Continuous Wave Quantum Cascade Lasers with a Nearly Gaussian Circular Output Beam
SBC: IRGLARE LLC Topic: N182113In response to the NAVY SBIR solicitation N182-113, the IRGLARE team is pleased to propose the development of highly reliable 4.5µm Quantum Cascade Lasers (QCLs) delivering over 5W of continuous wave optical power in a nearly gaussian beam (M2 < 1.5) with a low ellipticity. The combination of the high optical power and long term reliability will be achieved by over a two-fold reduction in laser t ...
SBIR Phase I 2019 Department of DefenseNavy -
Mid-infrared quantum cascade lasers with highly efficient heat extraction architecture
SBC: TRANSWAVE PHOTONICS, LLC Topic: N182113TransWave Photonics, LLC in collaboration with the University of Texas at Austin proposes to demonstrate a new active region and thermal packaging configuration for the mid-wave infrared quantum cascade lasers that provide both high modal overlap with the laser active region and a dramatically reduced thermal impedance of the laser compared to the current state-of-the-art. The proposed laser desig ...
SBIR Phase I 2019 Department of DefenseNavy -
Fooling Computer Vision Classifiers with Adversarial Examples
SBC: LYNNTECH INC. Topic: N182127The Lynntech team proposes to develop a Computer Vision FoolKit system that integrates cutting-edge approaches to systematically evaluate physically realizable adversarial attacks against several leading computer vision classifiers. It has been noted that most deep neural networks are demonstrably vulnerable to adversarial examples, even in the form of small-magnitude changes in intensities of the ...
SBIR Phase I 2019 Department of DefenseNavy -
Nanocomposite Polymer Binders with Reversible Crosslink Architectures
SBC: HELICON CHEMICAL COMPANY LLC Topic: N182129Many energetic material formulations rely on elastomeric polymer binders to achieve required safety, aging, and mechanical properties. These binder systems are commonly produced by cast-cure methods using HTPB and an isocyanate curative. To take advantage of emerging technologies in weapon design and manufacturing, innovative new binders are needed with tailorable cure/cross-link chemistry, improv ...
SBIR Phase I 2019 Department of DefenseNavy -
Submarine Sensor Environmental Inference
SBC: Knobles Scientific And Analysis, LLC Topic: N182135The Base and Option propose applying machine learning (ML) deep learning (DL) methods to estimate the Waveguide Invariant (WGI). The ML and DL application also provide prior parameterization of the waveguide. Data fusion methods generate Energy Spectral Density (ESD) and Empirical Orthogonal Functions (EOF) to characterize the uncertainty of the sound speed profile in the water column from which t ...
SBIR Phase I 2019 Department of DefenseNavy -
Individual Incapacitating Stun Effect Round (IISER)
SBC: LYNNTECH INC. Topic: N183140Non-lethal weapons (NLWs) fill a strategic role in developing and maintaining security in military and law enforcement applications. Human Electro-Muscular Incapacitation (HEMI) devices are routinely used for subduing and apprehending targets rather than resorting to lethal methods of force protection. However, current devices are tethered, limiting the use range to less than 10 meters, and they o ...
SBIR Phase I 2019 Department of DefenseNavy -
Carbon Nanotube-Based Heater Coatings for Processing of Thermosetting and Thermoplastic Composites
SBC: MAINSTREAM ENGINEERING CORP Topic: N18BT031For this research program, Mainstream will collaborate with Colorado State University (CSU) to develop a nanostructured heater capable of curing aerospace grade composites out-of-autoclave (OOA). The use of autoclaves is the primary cost driver in composite manufacturing due to size limitations, long processing times, and inefficient energy usage. Therefore, the Navy is looking to develop a nanost ...
STTR Phase I 2019 Department of DefenseNavy -
Multi-band LWIR Imagers for Infantry Applications
SBC: NANOHMICS INC Topic: N191001Spectral signatures in the LWIR can provide anomaly detection, chemical identification, and enable target discrimination. While full-frame hyperspectral imaging is the ideal solution, such systems require compromises including size, weight, power, complexity, cost, and often simply do not exist at any price in a form factor useful to dismounted infantry. Recent advances in microfabrication have en ...
SBIR Phase I 2019 Department of DefenseNavy -
Optically-Aided, Non-Global Positioning System (GPS) for Aircraft Navigation Over Water
SBC: QUNAV LLC Topic: N191003To extend vision-aided capabilities to navigation of manned and unmanned aerial platforms over water, QuNav proposes to develop a technological approach of navigation and feature-state tracking (NavTrack). To reduce drift in inertial navigation outputs, NavTrack derives relative position updates by utilizing navigation-related features that are extracted from video images. To accommodate water mov ...
SBIR Phase I 2019 Department of DefenseNavy -
Real-Beam Inverse Synthetic Aperture Radar (ISAR) Imaging and Automatic Target Recognition
SBC: RDRTEC INCORPORATED Topic: N191004RDRTec will leverage their CADD & MCA technologies to provide classification of maritime targets suitable for autonomous verification of a missile’s target during the end stages of a cruise missile’s flight. CADD is a SAR mode, which in one measurement images a large scene, detects multiple targets, screens for target types, and re-focus image chips around those detections for further analysis ...
SBIR Phase I 2019 Department of DefenseNavy