Symbolic AI for full autonomous driving
At ototo, we built a Symbolic AI foundation model that drives vehicles safely and autonomously. Lightweight and data-efficient, it explains every driving decision and is ready to handle any road scenario.
Built for our autonomy partners
ODD Scaling
The Symbolic AI system's architecture has a universal driving foundation layer, a localized application layer and integrated domain expertise, enables local driving capabilities and rapid onboarding of new locations.
Trusted
Full transparency: The Symbolic AI model's real-time output explains its driving decisions, preserving privacy while meeting safety and regulatory trust requirements.
Lean design
The Symbolic AI system runs on any hardware, with minimal sensors required and optionally without mapping. It is a compact, in-vehicle model, enabling safe, efficient and smooth driving even in complex city scenarios.
Urban ready
Mastering the urban chaos: heavy traffic merges, drop-offs, complex intersections. The Symbolic AI system handles it all with contextual prediction, accurate planning, and real-time reasoning and control.
Watch it drive.
Watch it reason.
Watch the future of autonomy.
Symbolic AI is the solution
Autonomous driving requires more than just data - it requires real understanding. Symbolic AI mirrors the way humans reason, using logic and context to anticipate behavior, explain decisions and adapt in real time.
Unlike Machine Learning systems, it can handle complex long tail scenarios and provide transparency and efficiency, bringing safe and scalable autonomy within reach.
Designed for the long tail
Long tail scenarios are the toughest challenge in autonomous driving.
While each one may be uncommon, together they account for a significant share of real-world driving and often limit safety and scalability.
These include edge cases like roadworks, complex urban intersections, and fast-changing events that demand instant response. The Symbolic AI model’s deep understanding of the road enables it to handle long-tail scenarios with precision.
Meet the leadership team
Co-Founder
CEO
United Kingdom
Serial entrepreneur and mathematician with a track record of multiple acquisitions and profitable companies. An inventor with 13 patents, including the first in-camera red-eye removal technology used in over 120 million cameras worldwide.
Ron Maor
Hagar Livneh
Co-Founder
CPO
Germany
Industry professional with expertise, in both technology and business, at a major German OEM and as a consultant to a Venture Fund on deep- tech investments.
Our story
ototo’s story began in 2017, when we set out to develop a Symbolic AI Foundation Model capable of tackling real-world challenges. What started as an ambitious R&D project that quickly revealed its potential to solve one of autonomous driving’s toughest problems: the long-tail road scenarios.
In 2023, we founded ototo to bring this breakthrough to life. Our vision gained strong industry traction and deep-tech VC funding, validating our approach.
In 2024, we launched the first fully operational version of our technology and expanded globally with offices in Europe and Japan.
