Human-centered autonomy

Physical AI at World ScaleFor All Humans. For All Life.

Outonomous is building the modular autonomy platform for the world's existing and future vehicles. Every deployed vehicle becomes a real-world Physical AI node that can see, decide, act, and learn.

The People

Builders who saw the Physical AI era coming.

Omar Mukhtar

Omar Mukhtar

Founder · AI Pioneer

Building in AI since 2004. Correctly predicted all three AI waves before they arrived. Operating background across Amazon and Microsoft.

A polymath builder across AI systems, autonomy, product, perfume, martial arts, calligraphy, language, and endurance, Omar founded Outonomous from a personal mission shaped by years of taking long grueling trips to bring his mother heart medicine.

AI 2004 to NowAmazonMicrosoft
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Prof. Jason Corso

Prof. Jason Corso

Toyota Professor of AI & Robotics · Voxel51 Co-Founder

Toyota Professor of AI and Robotics. Chief Scientist and co-founder of Voxel51, a leading visual AI platform used by major organizations including Google, Microsoft, Porsche, GM, Medtronic, and Walmart.

ToyotaVoxel51Visual AI
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Prof. Shuguang Zhang

Prof. Shuguang Zhang

MIT · Guggenheim Fellow · Wilhelm Exner Medal Winner

One of the world's leading scientists. Wilhelm Exner Medal recipient, Guggenheim Fellow, National Academy of Inventors Fellow, and AIMBE Fellow. He has created multiple fields with his research. Holder of 30+ patents, h-index of 98, with founder-to-IPO experience through 3-D Matrix in Japan, which traded as the most active stock on the Tokyo Stock Exchange.

MIT30+ Patentsh-index 98
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We're assembling a team obsessed with safe autonomy at world scale: engineers, researchers, and operators across hardware, software, and data.

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The Problem

Autonomy cannot scale if it only works on new vehicles.

Most autonomy efforts depend on new vehicle programs, limited fleets, closed stacks, and simulation-heavy training loops. But the world already has 1.6 billion vehicles. The real opportunity is to turn the installed base into the deployment layer and the data layer for Physical AI.

1.6B

Vehicles already on Earth

Real-world edge cases

1

Platform to connect them

The Platform

One platform. Many vehicles. Real-world data.

Outonomous combines modular hardware, autonomy software, vehicle integration, and real-world data infrastructure to help vehicles perceive, decide, and act across real operating environments. This is not a retrofit kit. It's a modular autonomy architecture.

01

Existing vehicles

02

Future vehicles

03

Fleet platforms

04

Components & sub-components

05

OEM integration

06

Real-world data collection

The Data Network

Every vehicle becomes a Physical AI node.

Roads, weather, fleet behavior, edge cases, vehicle dynamics, and operating environments create the data Physical AI needs. Outonomous turns deployed vehicles into a real-world learning network that simulation alone cannot fully capture.

Roads

Surface, signage, geometry

Weather

Rain, fog, glare, ice

Traffic

Flow, density, edge cases

Fleet behavior

Routes, patterns, dynamics

01

See.

Perceive the real world

02

Decide.

Reason in real time

03

Act.

Control the vehicle

04

Learn.

Improve from every mile

Why Now

The world is entering the Physical AI era. AI is moving from screens into machines.

Vehicles are the largest installed base of physical machines on Earth. The company that connects autonomy to the existing vehicle base can define one of the largest Physical AI platforms in the world.

Mission

For All Humans.
For All Life.

Outonomous exists to accelerate safe autonomy across the world's vehicles, not just premium vehicles, robotaxi fleets, or new platforms. The goal is simple: make intelligent mobility available at global scale.

Let's build the future of
Physical AI together.

Whether you're an engineer, researcher, operator, or investor — if you believe safe autonomy should reach every vehicle on Earth, we should talk.

Let's build the future together