Overview

Sonatus AI Director is a unified platform that enables OEMs and vehicle teams to deploy, manage, and scale AI workloads directly on vehicle edge hardware. It streamlines the end-to-end AI lifecycle — from model integration and optimization to secure in-vehicle inference, monitoring, and over-the-air updates — allowing manufacturers to deliver adaptive, real-time features while minimizing bandwidth, protecting privacy, and leveraging existing vehicle compute.

Features and Capabilities

• Platform scope: AI Director provides an end-to-end toolchain for the full AI lifecycle, including model onboarding, optimization, deployment, monitoring, and management in-vehicle.
• Edge-first deployment: Purpose-built for in-vehicle constraints — runs inference on existing ECUs/vehicle compute to reduce cloud dependency and latency.
• Model management: Supports multi-model orchestration, versioning, A/B testing, and rollback for safe, controlled deployments.
• Optimization & portability: Tooling to optimize models for diverse silicon and ECUs, enabling reuse across platforms and gradual hardware upgrades.
• Security & privacy: Designed to preserve algorithm and data privacy by keeping sensitive inference and data processing on-device.
• Telemetry & monitoring: Real-time health, performance metrics, and model telemetry to detect drift, performance regressions, or resource contention.
• Integration ecosystem: Connects with silicon partners, cloud platforms, and third-party model vendors to accelerate solution delivery and validation.
• OTA & lifecycle operations: Enables coordinated over-the-air model and software updates with safe rollout policies and compatibility checks.
• Use cases enabled: ADAS/assist features, predictive maintenance, occupant sensing, cybersecurity (in-vehicle IDS), intelligent lighting/controls, and other adaptive vehicle experiences.
• Developer tooling: SDKs, validation pipelines, and testing frameworks to help engineers integrate models into vehicle software stacks efficiently.