AI for Smart Vehicles

Sonatus delivers cloud-to-edge AI for faster time-to-production, lower lifecycle costs, and continuous improvement.

AI Solutions for each stage of the vehicle lifecycle

Test and Validation

AI for Smart Development
Transform test vehicles into intelligent validation platforms with cloud-to-edge AI to accelerate validation and get to production faster.

Production Vehicles

AI for Smart Vehicles
Embed AI directly into production vehicles, turning real-world operation into continuous intelligence and ongoing improvement.

After-Sales Service

AI for Smart Diagnostics
Deliver faster diagnoses, lower warranty costs, and avoid service recalls with AI that gets smarter with every vehicle in the field.

The AI feedback cycle
behind smart vehicles

Create a closed-loop feedback cycle powered by in-vehicle edge AI to transform contextual vehicle data into actionable insight for ongoing quality and improvement.

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Driving innovation with industry leaders and organizations

News and insights

The Fastlane to Vehicle AI

At Sonatus, we’ve built our roadmap around a simple belief: software-defined vehicles were never the destination; they are the foundation.…
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Schaeffler and Sonatus Bring Edge AI to Motion Control for Software-Defined Vehicles

Herzogenaurach, Germany, and Sunnyvale, California  – June 10, 2026 –  Schaeffler and Sonatus, a leader in intelligence-driven, software-defined vehicle technology,…
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Frost & Sullivan Forecasts $238 Billion Market for AI-Enabled Automotive Features by 2030

Sunnyvale, Calif. — Dec. 16, 2025 — In-vehicle artificial intelligence is on track to become one of the most transformative…
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Intelligent Tire Maintenance and Performance

Enabling real-time tire intelligence through embedded AI and physics models

Discover how Michelin and Sonatus have partnered to transform the tire from a passive mechanical component into an active, AI-enabled sensor at the edge.

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In the spotlight

How Nissan is Accelerating its Vehicle Development Cycle with Sonatus

In this episode, Sarah Dorey, engineer for e-planning, coding, and cybersecurity at Nissan Technical Centre Europe, explains how NTCE uses Fastlane Collector and Fastlane Insight to transition from manual, on-site vehicle validation to a remote, AI-driven workflow.

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How is AI Reinventing Tire Performance at Michelin?

In this podcast episode, Jeremy Vayssettes, chief technology officer for Tire Digital Twin at Michelin, discusses how the company is expanding beyond traditional tire manufacturing into AI-powered software solutions.
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Can AI Actually Lower Your Car Insurance?

MOTER Technologies CTO Michael O’Shea talks about how the company uses edge AI from Sonatus to analyze vehicle sensor data for more accurate privacy-focused usage-based insurance.

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