At ototo, we built a Symbolic AI model that drives vehicles safely and autonomously. Lightweight and data-efficient, it explains every driving decision and is ready to handle any road scenario.
Watch it drive.
Watch it reason.
Watch the future of autonomy.
Designed to drive everywhere
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 and confidence.
Why 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.
L2+
One model - multiple capabilities
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Hazard anticipation
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Traffic-aware path planning
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Smooth lane-keeping & merges
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Real-time reasoning
L3
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ODD extension
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Real-time dynamic decision-making
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Highway merging & lane changes
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Transparent AI-human collaboration
L4
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Full urban autonomy
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Dynamic path planning
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Multi-agent interactions
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Scalable fleet automation
Collaborate with ototo
Passenger Cars
We partner with OEMs and Tier 1 suppliers to extend ODD and enhance system capabilities toward full autonomous driving. For technology providers, ototo adds a complete prediction and planning layer, transforming AD components into a full-stack solution. Our model integrates easily, reduces hardware demands, and supports scalable autonomy across all levels.
Robotaxis
For ride-hailing platforms and mobility providers, ototo reduces reliance on remote intervention by handling long-tail and edge cases in real time. Our model acts as the first line of defense - scaling operations efficiently while improving safety and autonomy coverage where it's needed most.
Our partners
Meet the leadership team
Ron Maor
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.
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 quickly revealed its potential to solve one of autonomous driving’s toughest problems: the long-tail road scenarios.
In 2021, we founded ototo in stealth mode to bring this breakthrough to life. By 2023, 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.
