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We support all chips, all sensors and all robots.
ON BOARD
We support all chips, all sensors and all robots.
Traditional Autonomous Systems Lack True Intelligence
Modern autonomous vehicle development has reached a critical inflection point where conventional programming approaches cannot address the complexity of real-world driving scenarios:
Resources
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Solutions for Vehicles
Ground Agent
The Vehicle Autonomy Challenge – Intelligent Decision-Making in Complex Environments
The Cost: Stalled Autonomy Progress, Limited Deployment, and Market Skepticism
These autonomous intelligence limitations translate into significant impacts:
Missed Critical Intelligence
Autonomous vehicle rollouts repeatedly postponed due to inability to handle edge cases.
Geofenced Operations
Self-driving vehicles restricted to small, carefully mapped areas with predictable conditions.
Market Skepticism
Eroding investor and consumer confidence in autonomous vehicle timelines.
Limited Use Cases
Autonomous capabilities restricted to simplified operational scenarios like highway driving.
To overcome these challenges, vehicle manufacturers and suppliers require advanced autonomous agent solutions that can:
1
Make intelligent decisions across the full spectrum of driving scenarios.
2
Learn and adapt from experience and new situations.
3
Understand human behavior and social driving norms.
4
Provide explainable reasoning for decisions and actions.
5
Scale efficiently across different vehicle platforms and use cases.
our AI solution
AI-Powered Agentic Intelligence for Next-Generation Vehicle Autonomy
VISIONAIRY® Ground Agent provides vehicles with unprecedented decision-making capabilities through advanced agentic AI technology.
Our system enables vehicles to understand complex driving scenarios, make intelligent decisions, and learn from experience, creating the foundation for truly capable and trustworthy autonomous operation.
To solve the limitations of traditional autonomy, VISIONAIRY® Ground Agent employs a next-generation agentic architecture at its core.
Leverages large-scale AI models fine-tuned specifically for driving scenarios and decision-making.
Processes visual, spatial, and semantic information to create comprehensive scene understanding.
Combines reactive safety systems with tactical maneuvers and strategic planning.
Improves performance through fleet learning while maintaining safety guarantees.
Provides transparent reasoning for all decisions to enable verification and build trust.
Designed specifically for automotive-grade compute platforms, delivering high performance within strict power constraints.
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