Vision + Sentience:
Where Vision Meets Autonomy
We build intelligent agents that see, think, and act—transforming the way machines interact with the physical world.
Through our Vesentia effort, we're shaping the future of physical AI by combining state-of-the-art computer vision with agentic intelligence. Our systems don't just process data—they perceive, plan, and adapt in real time. Whether it's a drone navigating a complex environment or a robot collaborating on a factory floor, our technology brings intelligent perception to life.
Vesentia AI Platform
Vision • Intelligence • Action
The Mission:
To create intelligent, autonomous systems that can see, reason, and act safely in dynamic physical environments.
Focus Areas:
Autonomous Perception at the Edge
Our vision systems give agents the ability to detect, localize, and interpret their surroundings—on-device and in real time. We specialize in 3D computer vision and scene understanding, lightweight models for real-time deployment and edge processing on drones, robotics, and wearables
Agentic Intelligence for Real-World Autonomy
Vesentia agents make decisions, collaborate, and plan their own actions in complex settings. We build multi-agent coordination systems, Hybrid architectures combining LLMs and symbolic planning and autonomous task execution pipelines
Safe Learning and Trustworthy Interaction
We ensure our agents are not only adaptive but also reliable. This means: Continuous learning from real-world feedback, Explainable decision-making processes and redundant safety checks and fallback behaviors
Simulation-Driven Development and Deployment at Scale
We accelerate real-world impact through advanced simulation environments that allow agents to train, test, and adapt before deployment. This shortens development cycles and ensures safety and reliability across diverse conditions.
Our Values
Clarity through Vision
We believe in machines that understand their surroundings.
Agency with Responsibility
Our agents are designed for autonomy with built-in safeguards and trust.
Learning that Lasts
From simulation to the real world, our systems evolve with their environments.