You are here
Award Data
The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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.
-
Advanced Command and Control Architectures for Autonomous Sensing
SBC: TOYON RESEARCH CORPORATION Topic: N18BT030We propose to develop an innovative open architecture for the semi-autonomous command and control (C2) of teaming Unmanned Aircraft Systems (UAS). The proposed architecture, based upon Toyon’s Decentralized Asset Management system, supports both centralized and decentralized fusion and control autonomy solutions as well as hybrids approaches. Leveraging STANAG-4586, TCP/IP, UPD, Google™ protob ...
STTR Phase I 2019 Department of DefenseNavy -
Blending Classical Model-Based Target Classification and Identification Approaches with Data-Driven Artificial Intelligence
SBC: TOYON RESEARCH CORPORATION Topic: N18BT033Toyon Research Corp. and the University of California propose to develop innovative algorithms to perform automatic target recognition (ATR), localization, and classification of maritime and land targets in EO/IR, LiDAR, and SAR imagery. The proposed algorithms are based on recent developments made at the University of California, which outline a strong mathematical framework for naturally blendin ...
STTR Phase I 2019 Department of DefenseNavy -
Optimized Higher Power Microwave Sources
SBC: Epirus, Inc. Topic: N19AT001Epirus presents a high powered microwave source that leverages ultra high power density solid state materials, called Leonidas, to meet all of the government’s objectives for the vehicle stop and vessel stop mission. The Leonidas unit has already achieved over 10 kW of effective radiated power (ERP) in laboratory tests using software definable solid state technology and we show how this scales t ...
STTR Phase I 2019 Department of DefenseNavy -
Enhanced Sensor Resource Management Utilizing Bayesian Inference
SBC: GCAS, Inc. Topic: N19AT002This proposal describes the use of machine learning, data mining and Bayesian inference algorithms for incorporation into a surveillance aircraft cognitive radar system. The need for incorporation of higher-order uncertainty distributions will also be assessed. This will result in enhanced sensor resource management capability for surveillance aircraft radar.
STTR Phase I 2019 Department of DefenseNavy -
Quantum Cascade Laser Array with Integral Wavelength Beam Combining
SBC: Mirios, Inc. Topic: N19AT005Mirios Inc., in collaboration with UCSB and NRL, proposes to construct a high-brightness MWIR (~4.5-4.9 µm) light source, consisting of a single silicon chip with an array of Quantum Cascade Lasers which are fully-integrated with wavelength beam combiners.
STTR Phase I 2019 Department of DefenseNavy -
Comprehensive Surf Zone Modeling Tool
SBC: Arete Associates Topic: N19AT010Areté Associates, along with STTR partner Rochester Institute of Technology (RIT), are proposing a comprehensive software capability for scene generation, object insertion, and performance modeling for passive and active EO COBRA sensors over the surf zone. The Surf Zone Modeling Tool (SZT) will incorporate several technologies, including: open-source and Areté-designed SZ ocean physics models, ...
STTR Phase I 2019 Department of DefenseNavy -
Predictive Graph Convolutional Networks
SBC: Arete Associates Topic: N19AT017The US Navy’s mission to maintain, train and equip combat-ready Naval forces requires that decision makers have situational awareness of the capabilities, limitations, vulnerabilities/opportunities for adversarial and allied forces. An incomplete or inaccurate understanding of the current landscape and associated trends could lead to suboptimal mission readiness and outcomes. Analysts need tools ...
STTR Phase I 2019 Department of DefenseNavy -
Compact and Low-cost High Performance Spectrometer Sensor based on Integrated Photonics Technology
SBC: ULTRA-LOW LOSS TECHNOLOGIES LLC Topic: N19AT023Ultra-Low Loss Technologies (ULL Technologies) is proposing in collaboration with Prof. Arka Majumdar from University of Washington (UW), to develop a compact, low-cost spectrometer module to be used for chemical sensing applications and to be fabricated using the process design kit (PDK) available through AIM Photonics multi-project wafer run (MPW). The team will combine ULL Technologies expertis ...
STTR Phase I 2019 Department of DefenseNavy -
Multi-lingual Social-media Crowd Manipulation Detector (MSCMD)
SBC: BCL Technologies Topic: N19AT024In this SBIR, BCL proposes developing a Multi-lingual Social-media Crowd Manipulation Detector (MSCMD). The MSCMD will use natural language processing techniques to detect terms that arouse emotion using information out of context to trigger reaction from the audience and move them to act.The MSCMD will operate in Asian languages using a Natural Language Processor for each language. The MSCMD will ...
STTR Phase I 2019 Department of DefenseNavy -
Tools for Implementing Speech Agents in Crew Resource Management Training Systems
SBC: OPTIMAL SYNTHESIS INC. Topic: N17AT010Crew resource management training systems are often constrained by the high cost and lack of flexibility in coordinating a large group of human role players for part-task training. Motivated by the recent maturation of the speech synthesis and recognition technologies, speech-enabled crew role-player agents are being introduced to address these limitations. However, difficulties remain in customiz ...
STTR Phase II 2019 Department of DefenseNavy