Schaeffler and Sonatus Form Global Partnership to Embed Edge AI in Motion Control Systems for Software-Defined Vehicles
Schaeffler AG and Sonatus Inc. have announced a global strategic partnership aimed at accelerating the development of software-defined vehicles (SDVs) by integrating Edge Artificial Intelligence (AI) directly into motion control systems. The collaboration marks a significant step toward transforming traditional vehicle control units into intelligent, adaptive computing platforms capable of real-time learning, continuous optimization, and lifecycle-wide software enhancement.
By combining Schaeffler’s advanced control unit hardware with Sonatus’s AI-driven software stack, the two companies aim to deliver a tightly integrated solution that brings intelligence closer to the vehicle edge. This approach is designed to reduce system complexity, improve development efficiency, and enable automakers to deploy new capabilities throughout a vehicle’s operational life without requiring major hardware redesigns.
A Shift Toward Intelligent Motion Control in SDVs
The automotive industry is undergoing a rapid transition from hardware-centric engineering to software-defined architectures. In this emerging paradigm, vehicles are no longer static mechanical systems but dynamic digital platforms that can be continuously updated, optimized, and personalized through software.
Within this context, motion control systems—covering critical functions such as steering, braking, energy management, and chassis control—are becoming increasingly software-driven. However, managing these systems in a highly distributed electronic architecture presents challenges in scalability, integration, and real-time data processing.
The partnership between Schaeffler AG and Sonatus Inc. addresses these challenges by embedding Edge AI capabilities directly into Schaeffler’s control units. This enables data processing and decision-making to occur within the vehicle itself, rather than relying on external cloud systems or centralized backend processing.
According to the companies, this approach creates a foundation for next-generation SDV architectures, where hardware and software are tightly integrated, and intelligence is continuously evolving.
Core Technology Integration: Collector AI and AI Director
A key element of the collaboration is the integration of Sonatus’s production-proven software technologies—Sonatus Collector AI and Sonatus AI Director—into Schaeffler’s control unit platforms.
Sonatus Inc. brings extensive expertise in AI-driven vehicle software systems already deployed in millions of vehicles worldwide. Its technologies are designed to simplify data management and enable intelligent lifecycle orchestration within SDVs.
- Sonatus Collector AI enables selective, real-time data collection from vehicle systems. Instead of relying on continuous large-scale data logging, it intelligently identifies and captures relevant data streams. This reduces bandwidth requirements while improving the quality and relevance of collected insights.
- Sonatus AI Director provides a framework for deploying, managing, and updating AI models directly within the vehicle. It enables continuous improvement of vehicle functions by allowing OEMs to push optimized models, monitor performance, and manage lifecycle updates without physical intervention.
When integrated into Schaeffler’s control units, these capabilities transform traditional motion control hardware into adaptive, intelligence-driven systems that can evolve over time.
Schaeffler’s Role: Hardware Foundation for Centralized Architectures
Schaeffler AG plays a central role in the partnership by contributing its expertise in motion systems, cross-domain control units, and system integration across multiple vehicle domains.
As part of its broader strategy as “The Motion Technology Company,” Schaeffler develops advanced solutions spanning powertrain, chassis, energy systems, and body control domains. These systems are increasingly aligned with centralized and zonal electrical/electronic (E/E) architectures, which form the backbone of modern SDVs.
In this collaboration, Schaeffler’s control units serve as the hardware foundation for embedded AI execution. These units are designed to support high-performance computing, deterministic control, and multi-domain integration—essential requirements for real-time vehicle motion control.
Thomas Stierle, CEO E-Mobility at Schaeffler AG, emphasized the importance of robust hardware in enabling SDV transformation, noting that control units must be capable of running data-driven and AI-based functions directly within the vehicle. According to Schaeffler, this capability is essential for enabling next-generation vehicle architectures that combine safety, performance, and adaptability.
Turning Static Systems into Adaptive Intelligence Platforms
A key objective of the partnership is to transform traditional vehicle control units from static embedded systems into adaptive intelligence platforms.
Historically, motion control units have operated with fixed logic and limited flexibility once deployed. Updates often required dealership intervention or hardware replacement, creating constraints on innovation speed and lifecycle optimization.
By embedding Edge AI capabilities, Schaeffler AG and Sonatus Inc. aim to eliminate these limitations. The integrated system enables:
- Real-time adaptation of vehicle behavior based on driving conditions
- Continuous optimization of control algorithms
- Remote deployment of new features and improvements
- Enhanced diagnostic and predictive maintenance capabilities
Jeff Chou, CEO and co-founder of Sonatus, highlighted that the future of SDVs depends on combining centralized hardware architectures with intelligent edge-based software systems. He emphasized that true software-defined functionality emerges only when AI can operate directly within the vehicle and continuously learn from real-world conditions.
Benefits for Automakers and OEMs
The joint solution is designed primarily to support automotive manufacturers in managing increasing system complexity while accelerating product development cycles.
One of the key advantages of the integrated platform is the ability to deploy and refine critical vehicle functions—such as steering precision, braking performance, and energy efficiency—without requiring physical modifications to the control hardware.
This capability offers several benefits for original equipment manufacturers (OEMs):
1. Faster Time to Market
Pre-integrated hardware and software reduce development overhead and simplify system validation, enabling faster deployment of new vehicle features.
2. Lifecycle Feature Enhancement
Automakers can continuously update and improve vehicle functions over time, extending product value beyond initial release.
3. Reduced System Complexity
By consolidating intelligence at the edge, the solution reduces reliance on fragmented software stacks and external data pipelines.
4. Improved Data Utilization
Intelligent data collection ensures that only relevant vehicle data is processed and transmitted, reducing storage and bandwidth costs while improving insight accuracy.
5. Enhanced Diagnostics and Reliability
Real-time data processing enables early detection of system issues and supports predictive maintenance strategies.
Accelerating the Transition to Centralized E/E Architectures
The automotive industry is steadily moving toward centralized computing architectures, where fewer but more powerful control units manage multiple vehicle domains. This transition is driven by the need for scalability, reduced wiring complexity, and improved software manageability.
The collaboration between Schaeffler AG and Sonatus Inc. aligns directly with this trend. By integrating AI capabilities into centralized motion control units, the companies are helping OEMs simplify their electronic architectures while increasing functional intelligence.
Rodrigo Peres, Senior Vice President of Business Unit Vehicle and Battery Controls at Schaeffler, noted that the company’s control units already include pre-integrated software infrastructure designed to simplify OEM integration. The addition of Sonatus’s AI technologies further enhances this capability by enabling faster adoption of centralized software architectures.
Strategic Implications for the SDV Ecosystem
The partnership represents a broader shift in the automotive ecosystem, where hardware suppliers and software intelligence providers increasingly collaborate to deliver unified SDV solutions.
Rather than treating software and hardware as separate layers, the integration of Edge AI into motion control systems reflects a more holistic approach. In this model, intelligence is embedded directly into the vehicle’s core functional systems, allowing for continuous adaptation and optimization.
This convergence is expected to play a critical role in enabling future mobility trends, including autonomous driving, electrification, and connected vehicle ecosystems.
Schaeffler Group
Schaeffler AG is a global leader in motion technology, with a history spanning more than 80 years. The company develops innovative products and systems for electric mobility, CO₂-efficient drives, chassis applications, and renewable energy solutions.
With a workforce of approximately 110,000 employees and operations across more than 55 countries, Schaeffler is one of the world’s largest family-owned industrial companies. Its portfolio spans bearings, linear motion systems, and advanced automotive components, as well as repair and monitoring services across the product lifecycle.
The company continues to position itself as a key enabler of sustainable and intelligent mobility through its focus on electrification, digitalization, and system integration.
The global partnership between Schaeffler AG and Sonatus Inc. marks a significant milestone in the evolution of software-defined vehicles. By embedding Edge AI directly into motion control systems, the collaboration enables a new generation of intelligent vehicle architectures that are adaptive, scalable, and continuously upgradable.
As the automotive industry continues its shift toward centralized computing and software-defined functionality, this integration of hardware and AI-driven software provides a blueprint for how future vehicles will be designed, operated, and improved over time.
Ultimately, the collaboration reflects a broader transformation in mobility—one where vehicles are no longer static machines, but evolving digital platforms capable of learning, adapting, and optimizing throughout their entire lifecycle.
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