Applications · autonomy in the field

Robots that
deliver.

Deep tech only matters when it changes an operation. Jidō connects intelligence to the concrete challenges of each environment.

Concept prototype of the Jidō Taxi autonomous electric vehicle
01 · AUTONOMOUS MOBILITY · THE ORIGIN

Where it all started.

Jidō OS was born while building the Jidō Taxi. Bringing perception, intelligence and autonomous driving together without handing unrestricted authority over the vehicle revealed the need for a new computational foundation.

Today that architecture can serve not only our autonomous taxi, but a new generation of vehicles and intelligent machines.

Discover the Jidō Taxi
02 · INDUSTRY

Inspection without exposure.

Autonomous patrols across plants, oil and gas and hazardous environments. The machine collects data, reads instruments and flags anomalies without putting people at risk.

Design a pilot
Quadruped robot inspecting an industrial plant
Robot patrolling an electrical substation
03 · INFRASTRUCTURE

Presence where scale is the challenge.

Substations, ports, railways and dispersed assets demand consistent coverage. Embedded perception, autonomous routes and remote operation extend what the team can see.

Map the opportunity
04 · LOGISTICS

Movement with predictability.

Internal material transport and repetitive flows with autonomous navigation, fleet integration and control built to operate near people.

Assess the operation
Mobile robot in a distribution centre
Autonomous agricultural drone spraying a field at dusk
05 · AGRICULTURE

Fly the field without outsourcing control.

Spraying, field mapping and variable-rate application demand two things at once: a flight loop that cannot slip by a millisecond, and a heavy perception stack deciding where and how much to apply. Today that usually means two computers on board — weight, wiring and cost per aircraft.

The separation in jidō.os lets both share one SoC without perception being able to delay, stall or command the flight. If the cognitive domain stops, the critical path carries on: it holds attitude, cuts the application and runs the safe stop — without taking the aircraft with it.

Talk about a pilot

Also built
to discover.

Labs, universities and R&D teams can use the platform as a base for research in control, physical AI, embedded systems and mobile robotics.

RESEARCH

An architecture you can inspect.

A real base for studying isolation, temporal behaviour, safety cases and autonomous systems.

EDUCATION

From concept to silicon.

Microkernel, virtualisation and robotics integrated into one hands-on learning track.

R&D

Faster to evidence.

Less time rebuilding the foundation; more time validating what makes the project different.

Which operation
shall we transform?

Tell us the challenge