STRONG FORCE VCN PORTFOLIO 2019, LLC

Methods and systems for managing the interaction, communication, and collaborative tasks among multiple autonomous entities, or between autonomous entities and a central control system or users.

Creating virtual representations (digital twins) of physical industrial assets or processes for simulation and analysis, often combined with blockchain technology for secure data traceability and distributed control.

Integration of additive manufacturing with subtractive manufacturing (e.g., machining, cutting) or other traditional processes within a single system or workflow to create parts with improved features, surface finish, or material properties, or to enable new manufacturing paradigms.

Applying machine learning and artificial intelligence models to analyze industrial data, predict system behavior, and optimize control strategies for improved efficiency, quality, or environmental compliance in manufacturing and operations.

Systems and methods for real-time sensing, modeling, and closed-loop control of additive manufacturing parameters to ensure part quality, consistency, and process efficiency. This includes thermal management, atmospheric regulation, and precise material deposition.

Techniques for building three-dimensional metal objects layer-by-layer using metal powders, including powder bed fusion, binder jetting, and directed energy deposition. This theme encompasses process mechanics, equipment design, and operational control for AM systems.

Creating virtual models (digital twins) of complex physical systems to simulate their behavior, predict performance, validate designs, or guide operations under various conditions.

Systems and methods enabling the monitoring, configuration, and operation of industrial equipment and processes from a distance, often utilizing wireless communication protocols and networked platforms for enhanced flexibility and access.

Systems designed to streamline and automate various commercial transactions, including mobile-enhanced processes, secure online checkouts, customer service interactions, and privilege issuance, often leveraging digital authentication.

Utilizing sensor data, historical performance, and analytical models to anticipate equipment failures, diagnose faults, and estimate remaining useful life, thereby enabling proactive maintenance and reducing downtime.

Computational methods and design principles for generating optimized geometries, internal structures (e.g., lattices, minimal surfaces), or functional features that are specifically enabled or enhanced by the capabilities of additive manufacturing.

Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.