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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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High Fidelity Rotorcraft Towing Modeling and Simulation with Towed Magnetic Anomaly Detection System
SBC: ADVANCED ROTORCRAFT TECHNOLOGY, INC. Topic: N15AT009Towing of a Magnetic Anomaly Detection (MAD) system is an important aspect of rotorcraftmaritime operation. The oscillatory rotorcraft combined with the long and flexible towingcable, the low mass ratio of the towed body to the towing aircraft, and the rotor wake effecton the towed body presents a challenge for integration of a modern MAD system withrotorcraft platform. The research objective is t ...
STTR Phase II 2016 Department of DefenseNavy -
Deep Learning with Whole-Scene Contextual Reasoning for Target Characterization
SBC: EXOANALYTIC SOLUTIONS INC Topic: MDA15T001ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...
STTR Phase II 2017 Department of DefenseMissile Defense Agency -
Aircraft Carrier-based Precision Ship-Relative Navigation Guidance for Aircraft Landing under Emissions Control Conditions
SBC: SA PHOTONICS, LLC Topic: N15AT014SA Photonics has developed a concept for our Multiple Optical Beam Landing System (MOBLS) to provide autonomous landing of aircraft in RF denied environments. MOBLS utilizes multiple, redundant methods to determine the real-time location and bearing of the aircraft relative to the carrier-based landing strip. By having built in redundant modalities, MOBLS provides highly reliable landing informati ...
STTR Phase II 2017 Department of DefenseNavy -
Scalable System for Precision Direction-Finding, Anti-Jam, and Anti-Spoof
SBC: TOYON RESEARCH CORPORATION Topic: A15AT013The Global Positioning System (GPS) is vulnerable to radio-frequency (RF) sources of interference and must be defended through electronic protection (EP) measures such as anti-jam (AJ) and anti-spoof (AS). The Phase I effort investigated antenna, electronic, and algorithmic designs for systems capable of supporting direction-finding (DF) measurements while simultaneously performing anti-jam and an ...
STTR Phase II 2017 Department of DefenseArmy -
Lightweight, Stable Optical Bench with Integrated Vibration Attenuation
SBC: SAN DIEGO COMPOSITES, INC. Topic: MDA13T007The goal of this program is to design a lightweight optical bench capable of remaining stable under temperature and moisture changes, while isolating the precision optical array from vibrations such as engine noise and air turbulence. By integrating a customizable periodic stack in the bench, vibrations are attenuated more effectively than commercially available mounts. Additionally, the periodic ...
STTR Phase II 2016 Department of DefenseMissile Defense Agency -
Advanced Printed Circuit Board Design Methods for Compact Optical Transceiver
SBC: ATTOLLO ENGINEERING, LLC Topic: A15AT001As the warfighter is increasingly using more highly integrated instruments, e.g. a laser rangefinder (LRF) combined with a laser designator and an imager, the need to decrease the size of these components becomes more important.Compact small munition applications of rangefinders particularly place an emphasis on size of the optical front end.In order to make the transceiver more compact, special a ...
STTR Phase II 2017 Department of DefenseArmy -
Embedded Space Analytics
SBC: INFOBEYOND TECHNOLOGY LLC Topic: N16AT020Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to signify the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes b ...
STTR Phase II 2017 Department of DefenseNavy -
Detecting Substandard, Nonconforming, Improperly Processed and Counterfeit Materiel
SBC: Ocean Bay Information and Systems Management, LLC Topic: DLA15C001Inspecting for and detecting counterfeit, unapproved material substitutions or substandard processed raw material using existing processes is difficult, time consuming and expensive.Ocean Bay, LLC and the Primary Investigator, Karen Bruer, formed a team consisting of Ocean Bay, LLC, Savanah River National Laboratory and Old Dominion University, to apply for DLA15C-001:Detecting Substandard, Noncon ...
STTR Phase II 2017 Department of DefenseDefense Logistics Agency -
Bonded Joint Analysis Method
SBC: M4 ENGINEERING, INC. Topic: N12AT004During Phase I and Phase II, M4 Engineering, Inc. and Sandia National Laboratories have created a unique bonded joint analysis methodology and associated software. During Phase II.5, the developed techniques will be further enhanced and a fully functional commercial analysis code (SIMULIA/Abaqus) plug-in will be created. The software plug-in will make the advanced technology accessible to all leve ...
STTR Phase II 2016 Department of DefenseNavy -
Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral Imagery
SBC: TOYON RESEARCH CORPORATION Topic: AF15AT35Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...
STTR Phase II 2016 Department of DefenseAir Force