You are here
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.
-
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 -
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 -
Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17AT016OKSI and Northwestern University propose to develop a single-image super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that combines learning-based and regularization-based approaches to produce extreme enhancement of low-resolution images. We will also develop a detector-limited imaging system specifically designed to be used with the SR methodology for which even higher levels ...
STTR Phase II 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 -
Electro-Optic Transmissive Scanner
SBC: ULTIMARA INC Topic: N17AT001The goal of this program is to develop and construct a thin, light weight, low power, large aperture, electro-optic (EO) transmissive scanner that utilizes electro-optically active nanomaterial structures, suitable for UAV’s platform. The nano-material beam-steering technology aperture system offers an ultra-thin Size, Weight, and Power (SWAP) to fit on UAV’s airframe and achieve ultrafast and ...
STTR Phase II 2019 Department of DefenseNavy -
Transformation Accelerated through Redesign, Guidance, and Enhanced Training (TARGET)
SBC: TIER 1 PERFORMANCE SOLUTIONS LLC Topic: N17AT017As submarine threats from adversary countries continue to rise, the U.S. Navy must maintain and expand its anti-submarine warfare (ASW) capabilities. Warfighter readiness is the linchpin of the Navy’s ASW strategy, but the complexity of the ASW domain necessitates time-consuming training, and practical experiences to transfer those skills to the operational environment. Innovative training appro ...
STTR Phase II 2019 Department of DefenseNavy -
Visual Tools and Progressive Automation for Complex Knowledge Management and Decision Support
SBC: STOTTLER HENKE ASSOCIATES, INC Topic: N17AT004We propose to adapt and automate the processes and technologies associated with evidence-based decision support to the Navy—providing a tool that can synthesize current cognitive and learning science knowledge and inform decisions so as to maximize the value gained for each training expenditure. We will develop a plug-play architecture that will allow us to make the best use of emerging technolo ...
STTR Phase II 2019 Department of DefenseNavy -
Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17BT035The Navy needs cognitive control capabilities that enable an autonomous robotic team comprised of a ground control station node and a team of UAS platforms to operate independently (or with minimal human oversight) while carrying out complex missions. A cognitive control capability needs to be developed that concurrently optimizes the balance of mission risk / performance with respect to the Navyâ ...
STTR Phase II 2019 Department of DefenseNavy -
Human Performance Optimization
SBC: REJUVENATE BIO INC Topic: SOCOM17C001Special OperationsForces (SOF)are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S.military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the funct ...
STTR Phase II 2019 Department of DefenseSpecial Operations Command -
Physics-based Computationally Efficient Spray Combustion Models for LES of Multiphase Reacting Flows
SBC: CFD RESEARCH CORPORATION Topic: N17AT002One important challenge for the reliable prediction of liquid fuel effects on the combustion in aviation combustors and augmentors is the accurate modeling of underlying physical processes, involving the evaporation of fuels, preferential vaporization, scalar mixing and ignition. LES methodologies are required to accurately capture these transient and inherently unsteady combustion processes. In t ...
STTR Phase II 2019 Department of DefenseNavy