Unleash the power of in-vehicle AI
AI Director empowers OEMs to bring intelligent, adaptive vehicles to market faster and at lower costs by streamlining in-vehicle AI development, deployment, and management.
Accelerate Model Deployment
Unify fragmented workflows, enabling fast, automated AI model deployment into vehicles across teams, tools, and compute platforms
- Streamlines the end-to-end AI lifecycle: data → model → deployment → feedback
- Reduces time-to-market for AI features
- Scales model deployment across multiple vehicle lines and domains
- Lowers engineering overhead for integration and validation
Maximize Hardware Efficiency
Optimize models for different types of vehicle compute, ensuring efficient, high-performance execution across ECUs without overprovisioning.
- Ensures models are optimized for target ECUs
- Supports diverse silicon vendors without rewriting models
- Leverages silicon-specific acceleration (CPUs, GPUs, NPUs)
- Minimizes compute, power, and thermal footprint
Scale AI Workstreams
Standardize integration and data access, enabling consistent deployment of AI models across OEMs, suppliers, and vehicle platforms.
- Common runtime and deployment interface for all model vendors
- Abstracts vehicle data and system differences
- Connects models to the right vehicle signals seamlessly
- Reduces per-model integration cost and complexity
- Streamlines collaboration between OEMs, Tier 1s, cloud and IP vendors
Solution Brief
Deliver In-Vehicle Edge AI at Scale
Accelerate, scale, and simplify AI deployment across vehicle platforms with Sonatus AI Director.
- Market Context: Why the shift to in-vehicle edge AI
- AI Director Overview: A unified platform for the complete AI lifecycle
- Deployment Challenges Solved: How Sonatus addresses integration, scalability, and data access hurdles
Features
AI Director is an end-to-end toolchain for deploying, managing, and scaling AI workloads at the vehicle edge. Purpose-built for the unique constraints and opportunities of the automotive environment, it unifies the AI lifecycle—from model training to real-time inference—with streamlined tools for integration, optimization, and monitoring.
Model Deployment
- Unified toolchain and runtime for model optimization and deployment
- Integration with vehicle ECUs and cloud platforms
- Integration with vehicle-wide data sources
- Built-in support for automotive MLOps and data feedback loops
Hardware Optimization
- Hardware-aware model optimization and tuning layer
- Runtime adapts to ECU capabilities and limitations
- Connectors for silicon vendor toolchains
- Resource-aware model execution options
Unified Workstreams
- Standardized APIs, data models, and runtime behavior
- Seamless integration with model-specific data sources
- Plugin-based architecture for diverse AI workloads
- Secure data access and governance controls
Sonatus AI Director: Launch Partner Use Cases
Case Study
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, edge-based decision-making in vehicles. While cloud-based...
Case Study
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 time from months to...
Case Study
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 in connected vehicles. Traditional cloud-first cybersecurity...
Case Study
COMPREDICT’s Virtual Headlight Leveling Sensor on Sonatus AI Director — Unlocking In-Vehicle AI for Smarter Headlight Leveling
COMPREDICT, in partnership with Sonatus, has developed an AI-based Virtual Headlight Leveling Sensor to meet the 2027 UN R48-09 regulation, replacing costly...Frequently asked questions
Most MLOps platforms were built for the cloud. Even those that address edge devices tend to focus either on vendor-specific silicon or encompass a wide range of industrial, IoT, and, in some cases, automotive targets. Sonatus AI Director was built for the vehicle. It’s an end-to-end toolchain that understands the realities of automotive environments—hardware limits, safety-critical systems, and fragmented data. It enables training by curating the right model-specific data, optimizes for vendor-specific silicon, manages deployment across diverse ECUs spanning multiple vehicle domains, and monitors performance in real time. That edge-awareness is what shortens time to market and lowers cost compared to generic stacks.
- AI Director streamlines the AI model lifecycle management, reducing operational inefficiencies.
- AI Director enables AI to run on existing compute, maximizing the existing investment in vehicle hardware.
- It provides a common framework to integrate models from multiple providers and across vehicle platforms
- In-vehicle AI enables optimization for components and operations not possible with today’s algorithms
No. AI Director is designed to run on existing ECUs and computing resources. Its compute-aware optimization ensures models fit within current hardware capabilities, while also scaling as OEMs add more compute over time.
While AI Director could support ADAS/AD features, it is specifically targeted for other vehicle subsystems that typically have not leveraged AI in the past.
Sonatus AI Director supports a range of model types, including physics- and neural network-based models, as well as Small and Large Language Models (SLMs/LLMs), catering to diverse vehicle use cases.
Related resources
Press Releases
Sonatus AI Director Unveiled to Power In-Vehicle Edge AI at Scale
Sonatus, a leading supplier of AI and software-defined vehicle solutions, has announced its AI Director platform to help automakers deploy AI at the vehicle edge, capitalizing on the projected $46B automotive AI market.
From our Blog
The Next Revolution in Automotive: In-Vehicle Edge AI
The use of AI across the business and technology landscape is expanding rapidly, but to date, AI deployment in vehicles…
Resources
Unleash the Power of In-Vehicle AI with Sonatus AI Director
This episode of The Driving Innovation Podcast explores how in-vehicle edge AI is reshaping the automotive industry and introduces Sonatus AI Director, an end-to-end orchestration platform that makes large-scale AI deployment in vehicles practical and cost-effective. Steve Stoddard, Product Manager for AI Products at Sonatus, explains how AI Director helps automakers optimize, deploy, and manage diverse AI models on today’s ECUs and vehicle hardware—enabling smarter, adaptive, and personalized driving experiences.
Resources
Sonatus AI Director data sheet
AI Director empowers OEMs to bring intelligent, adaptive vehicles to market faster and at lower costs by streamlining invehicle AI development, deployment, and management.