Key challenges solved
Feature copy, bullets right
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Solution overview
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Related products
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Use cases
Accelerating intelligent, secure, real-time decisions at the edge with NXP scalable AI solutions and Sonatus AI Director
This case study discusses how NXP's scalable AI solutions and Sonatus AI Director enable real-time,…
Qnovo’s AI-Enhanced Battery Safety on Sonatus AI Director
Qnovo’s partnership with Sonatus revolutionizes battery safety deployment in electric vehicles by significantly reducing integration…
VicOne’s GenAI-Based In-Vehicle Intrusion Detection System on Sonatus AI Director
This case study examines how Edge AI threat detection can enhance efficiency and lower costs…
Related resources
How do standards improve vehicle design?
Recorded live at Auto Tech 2026, host John Heinlein interviews SAE International’s Tim Yerdon on how standards bodies unite industry competitors to solve billion-dollar challenges in software-defined and autonomous vehicles. The conversation highlights key initiatives like the Automated Vehicle Safety Consortium and SAE's efforts to balance open-source collaboration with technology differentiation.
How can software benefit chassis innovation?
Recorded live at Auto Tech 2026, this episode of The Garage features ZF North America President Ramiro Gutierrez explaining how software is transforming traditional chassis hardware like steering and suspension into dynamic, customizable driving experiences. He highlights how software-defined vehicles enable hardware reuse, over-the-air performance updates, and major innovations like steer-by-wire technology.
The Agentic Loop
Automotive validation and field quality teams don't have a data problem — they have an intelligence problem. In "The Agentic Loop," Sonatus's Shashank Kodedhala lays out a new architecture — Detect → Collect → Reason → Act → Learn — that turns vehicle data into continuous, compounding intelligence. Learn why episodic data capture is costing OEMs re-drives, risking production schedules, and slowing field responses, and what a closed-loop alternative looks like in practice.
Can we future-proof cars with software?
Recorded live at Auto Tech 2026, this episode features AutoMobility Advisors' Chip Goetzinger discussing the rise of software-defined vehicles, embedded connectivity, and changing OEM-supplier relationships. He also explores emerging automotive trends like vehicle commerce and digital identity, along with insights from his background as an amateur race car driver.
How will vehicle experiences evolve with AI?
Recorded live at Auto Tech 2026, host John Heinlein speaks with Stellantis's Mel Roberts on how AI and small language models (SLMs) are transforming the automotive user experience. They discuss the strategic deployment of AI in vehicles, focusing on local processing for low latency, predictive maintenance, and balancing physical controls with digital UX design.
How Edge AI Is Transforming Driver Safety
In this episode of the Driving Innovation podcast, Siva Yoganathan, VP of Engineering at MOTER Technologies, discusses how edge AI and foundational models are transforming automotive insurance into real-time, contextual driving intelligence. He also highlights MOTER's partnership with Sonatus to streamline model deployment across diverse OEM platforms while improving privacy, processing speed, and cost efficiency.
Fastlane™ Corporate Overview
AI for Smart Vehicles Across the Entire Lifecycle.
Software-defined vehicles require dynamic, end-to-end intelligence. The Sonatus Fastlane™ Platform connects in-vehicle AI agents with cloud reasoning to create a closed-loop system that helps OEMs build safer, smarter vehicles faster.
Fastlane™ Copilot
Transform Test Vehicles into Intelligent Validation Platforms with Sonatus Fastlane™ Copilot.
Deploy dynamic data collection, edge AI, and AI-assisted workflows directly into test and prototype vehicles before production-level integration to shorten investigation cycles and boost engineering productivity.
Fastlane™ Edge
Operationalize In-Vehicle AI at Scale with Sonatus Fastlane™ Edge.
Deploy, orchestrate, and manage AI models, diagnostic logic, and software-defined vehicle intelligence at the edge to enhance vehicle quality, speed up development, and continuously optimize performance throughout the vehicle lifecycle.
Fastlane™ Collector
Power AI-Driven Insights with Sonatus Fastlane™ Collector.
Capture precise, real-time and historical vehicle context to accelerate AI-driven innovation, optimize data storage, and power continuous improvement across your entire fleet.
Fastlane™ Insight
Turn Vehicle Data into Actionable Intelligence with Sonatus Fastlane™ Insight.
Accelerate decision-making and streamline root-cause analysis with vehicle AI built to help engineering, validation, and service teams continuously improve vehicle quality and operational efficiency.
SDVs, AI, and the Next Era of Automotive Innovation
We explore the evolution of software-defined vehicles and their role in AI-driven automotive innovation. The conversation covers how SDVs are moving from concept to real-world deployment, enabling over-the-air updates, AI-powered diagnostics, in-vehicle edge AI, and scalable connected vehicle platforms that are reshaping the future of mobility.
FAQ
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