QUANATA, LLC

Technologies for monitoring vehicle performance, detecting faults, collecting operational data, and providing remote assistance or automated control based on sensor inputs and network connectivity.

Systems that monitor a vehicle operator's physiological state, attentiveness, or behavior using in-cabin sensors and machine learning to enhance safety or personalize vehicle functions.

Designing user interfaces and interaction methods specifically for mobile or wearable devices, enabling control of external systems, monitoring user states, or facilitating real-world transactions.

Systems and methods that leverage location data, IoT sensors, and predictive analytics to optimize urban services such as traffic flow, emergency response, parking, and waste collection.

Systems and methods for transferring electrical energy without physical contact, often utilizing inductive or resonant coupling, including antenna design, resonance tracking, and control mechanisms for efficient power delivery.

Systems and methods for enhancing the safety of vulnerable road users (pedestrians, cyclists) by improving their detection, prediction, and precise localization relative to the vehicle, often leveraging communication technologies and specialized markers.

Integrated systems for managing parking facilities, guiding vehicles to available spots, and providing notifications, often leveraging sensors, communication, and remote control.

Technologies for efficiently delivering power to electric vehicles, encompassing fast charging, wireless charging, and smart grid integration, alongside vehicle-side control and management of the charging process.

Systems that use user data, preferences, and machine learning to generate tailored advice, product recommendations, goal-setting plans, or contextual information for individuals across different domains.

Systems for coordinating and controlling fleets of autonomous vehicles or machines, including task allocation, route optimization, and monitoring their operational status and progress.

Systems using artificial intelligence and machine learning to monitor athlete performance, provide personalized training plans, predict physiological responses, or create virtual representations for feedback and analysis.

Techniques for generating, updating, and utilizing highly detailed digital maps that include lane-specific information, and for precisely determining a vehicle's position within these lanes, often using sensor data.

Mobile applications and systems leveraging wireless communication and location data (e.g., GPS, RFID, geo-fencing) to provide context-specific services, transactions, or user interactions.

Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.

Techniques and architectures for ensuring the reliability, fault tolerance, and performance validation of autonomous driving systems, including redundant computing platforms and perception system monitoring.

Methods and components for optimizing the performance, efficiency, and control of electric motors, inverters, and power converters within electric vehicle and hybrid vehicle drivetrains.

Games that integrate physical objects, real-world environments, or location data with virtual game elements to create interactive experiences.

Algorithms and systems for generating, optimizing, and executing trajectories for autonomous vehicles or robots to move through an environment, often involving obstacle avoidance, route validation, and goal reaching.

Technologies that enhance player immersion through advanced graphics rendering, multi-sensory feedback (haptic, auditory), and synchronized interactive experiences in virtual or physical environments.

Application of machine learning models to process complex data and generate actionable insights, predictions, or classifications that inform or automate decision-making processes in various domains like healthcare, business, or industrial control.

Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.

Systems that incorporate solar panels as a primary or auxiliary power source for various applications, including visual displays, remote devices, and portable battery charging, often emphasizing efficiency and adaptability.

Systems enabling wireless communication between vehicles (V2V), vehicles and infrastructure (V2I), or vehicles and other entities (V2X) to share information for traffic management, safety, and navigation.