One Chip.
Complete Autonomy.
Multi-modal sensor fusion, AI inference, and real-time control—all in a single SoC. Built for drones, robots, and autonomous fleets.
One Chip.
Challenges in Autonomous Vehicle Development
The development of autonomous vehicles is primarily challenged by fragmented architectures that increase system latency and complexity. Meeting real-time processing demands for multi-modal sensor data creates significant computational bottlenecks, while the high power consumption of these systems imposes severe thermal and energy constraints on vehicle performance.
Unified Edge AI Architecture
A power-efficient SoC integrating multi-modal sensing, AI inference, and autonomous vehicle control.
Edge AI SoC
Custom silicon that runs AI models locally—under 10W power, sub-10ms latency. No internet needed.
Multi-Modal AI
Fuses sound, vision, and sensor data into one intelligent system. Sees, hears, and understands context.
Superior Performance
Delivers real-time processing—no cloud dependency, no latency, maximum efficiency.
Key Benefits
1. Unified AI Inference & Control
Integrated Edge AI SoC combines multi-modal sensor fusion, AI inference, and vehicle control in a single chip, eliminating the need for multiple processing units and simplifying system architecture.
Technical Achievement
Single-chip solution with integrated NPU, DSP, and control interfaces
2. Ultra-Low Power Consumption
Optimized edge computing architecture achieves high-performance AI processing while consuming less than 10W, extending vehicle range and reducing thermal management requirements.
Technical Achievement
Advanced power management with dynamic voltage/frequency scaling
3. Real-Time Decision Making
Sub-10ms latency from sensor input to control output ensures safety-critical decisions are made instantly, even in complex urban environments.
Technical Achievement
Hardware-accelerated AI inference with deterministic real-time OS
4. Production-Ready Modularity
Flexible, modular design supports various autonomous vehicle platforms—from delivery robots to passenger vehicles—accelerating time-to-market and reducing development costs.
Technical Achievement
Standardized interfaces with scalable processing capabilities
Real-World Applications
See how our unified AI module powers different autonomous vehicle platforms
Autonomous Delivery Robots
Situation
Last-mile delivery robots navigate crowded sidewalks and crosswalks, requiring real-time obstacle detection, path planning, and decision-making in unpredictable urban environments.
Solution
- Unified AI module processes camera, LiDAR, and acoustic data in real-time
- Instant navigation decisions with multi-modal obstacle detection
- Minimal power consumption extends operational hours per charge
Outcome
Extended operational hours per charge, safer navigation in complex environments, and reduced system cost through integrated architecture.
Autonomous Shuttles
Situation
Low-speed autonomous shuttles in campuses, airports, and business parks require reliable perception and decision-making while maintaining passenger comfort and safety.
Solution
- Multi-modal sensor fusion combines visual, acoustic, and environmental data
- Edge AI processing ensures real-time response for comprehensive situational awareness
- Redundant perception systems enhance safety and passenger trust
Outcome
Enhanced safety through redundant perception, smooth ride quality, and predictable behavior that builds passenger trust.
Agricultural Autonomous Vehicles
Situation
Autonomous tractors and harvesters operate in challenging outdoor environments with varying lighting, weather, and terrain conditions.
Solution
- Robust multi-modal AI processing adapts to diverse environmental conditions
- Acoustic sensing detects mechanical issues and environmental hazards proactively
- All-weather operation with adaptive algorithms for varying lighting and terrain
Outcome
Reliable operation in all conditions, proactive maintenance through acoustic monitoring, and improved operational efficiency.
Ready to Accelerate Your Autonomous Vehicle Development?
Discover how SteadyBeat’s unified AI module can simplify your system architecture and accelerate time-to-market.