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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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Defect Detection in Metal Additive Manufacturing
SBC: PRODUCT INNOVATION AND ENGINEERING LLC Topic: N222117In-process inspection offers a path forward to insuring components produced via metal additive manufacturing (AM) such as directed energy deposition (DED). However, a simple anomaly detection ML technique driven from observational data may be insufficient for tracking the performance of a system intended to produce arbitrary geometry. The methodology chosen for a defect monitoring system must be g ...
SBIR Phase I 2023 Department of DefenseNavy -
PrintRite3D? AI/ML for In-Situ Additive Manufacturing Defect Detection
SBC: KITWARE INC Topic: N222117Additive manufacturing (AM) increases the speed and flexibility of production and enables traditional part concatenation for advanced manufacturing capabilities. The ability for U.S. manufacturers to 3D-print advanced components in-house reduces reliance on traditional subtractive supply chains and bolsters national security readiness. While AM affords unique flexibility in design for manufacturab ...
SBIR Phase I 2023 Department of DefenseNavy -
TALON: Multi-INT Metadata Extraction for Threat Detection
SBC: VISION SYSTEMS INC Topic: N222118Despite a large and growing set of available data sources across many domains, identifying and tracking developing threats in operational domains remains a critical unsolved problem. Extraction of relevant threat information and correlation across multiple modalities is required to take full advantage of the data available. VSI proposes TALON, a system for leveraging natural language descriptions ...
SBIR Phase I 2023 Department of DefenseNavy -
Artificial Intelligence-Driven Multi-Intelligence Multi-Attribute Metadata Enabling All-Domain Preemptive Measures
SBC: SONALYSTS INC Topic: N222118Sonalysts, Inc. (Sonalysts) proposes the development and feasibility evaluation of a Threat Reduction by Integration of Metadata (TRIM) toolkit to integrate metadata from operational sources, independent of naval operational domain. Sonalysts will leverage the broad expertise of its employees (of which 40% are military veterans) and its software engineering and modeling resources to develop an ont ...
SBIR Phase I 2023 Department of DefenseNavy -
Artificial Intelligence-Driven Multi-Intelligence Multi-Attribute Metadata Enabling All-Domain Preemptive Measures
SBC: IERUS TECHNOLOGIES INC Topic: N222118In response to the Navy’s need for an AI-enabled multi-attribute generation system, IERUS Technologies proposes to determine the technical feasibility, design and prototype for a system that can be fully integrated with proper associative databases to monitor and track developing activities/signals in all operational domains. This prototype architecture will extract meta-data attributes from exi ...
SBIR Phase I 2023 Department of DefenseNavy -
Librarian- AI Driven Multi-Int Unifying Platform Software Tool
SBC: MOSAIC ATM, INC. Topic: N222118The number of sources and amount of data that Naval intelligence analysts are required to manually sift through in order to ensure maritime forces have both actionable intel and provide decision advantage for their commanders is daunting. Today, existing tools are time-consuming, workforce intensive, and cumbersome to process and distribute in a timely fashion. Fortunately, this is a problem that ...
SBIR Phase I 2023 Department of DefenseNavy -
Wide-angle Augmented Reality Infantry Operational Robust Heads-Up Display
SBC: INTELLISENSE SYSTEMS INC Topic: N222119To address the Navy’s need for next generation heads-up displays (HUDs) to provide training aids, operational tools, and situational awareness (SA) visualizations, Intellisense Systems, Inc. proposes to develop a new Wide-angle Augmented-Reality Infantry Operational Robust Heads-Up-Display (WARIOR-HUD) based on an innovative integration of a wide field-of-view (FOV) conformal layered optical sph ...
SBIR Phase I 2023 Department of DefenseNavy -
Next Generation Infantry Heads-up Displays for Close-Air Support
SBC: CREATIVE MICROSYSTEMS CORPORATION Topic: N222119Heads Up Displays (HUD) are still lacking the operation capabilities to meet the needs of training and tactical operation. The available displays lack daytime brightness, are limited by a small field of view, not ruggedized, and do not meet the SWaP needs of an untethered head or helmet worn display for the Army. Creative Microsystems Corp (CMC) will identify a development path and incorporate the ...
SBIR Phase I 2023 Department of DefenseNavy -
Next Generation Infantry Heads-up Displays for Close-Air Support
SBC: MAXENTRIC TECHNOLOGIES LLC Topic: N222119Maxentric is proposing a heads-up display (HUD) system that takes advantage of augmented reality (AR) technologies to overlay information onto the battlefield and enhance situational awareness (SA). MaXentric’s solution will refine hardware and software requirements for Marine Corps use cases and deliver functional HUD prototypes for next-generation AR HUD systems that can serve both as training ...
SBIR Phase I 2023 Department of DefenseNavy -
Reconfigurable Augmented Reality Display (RAD) for Close-Air Support
SBC: HOLOCHIP CORP Topic: N222119Develop next-generation heads-up displays (HUDs) to provide training aids, operational tools, and situation awareness (SA) visualizations to improve the speed and quality of decision making by Marine Corps Ground Forces, specifically for close-air support (CAS) and call-for-fire (CFF).
SBIR Phase I 2023 Department of DefenseNavy