Shared 4D site models for people and robots

Asset by asset, tied to your ledgers and drawings.

The word YODO spelled in a mosaic of thousands of frames captured at our sites
Featured inWIREDNikkei
Backed byAbelia CapitalIncubate Fund
Recognized byInstitute of Science TokyoOIST InnovationMIT Association of Japan Venture ForumNEDOStartup Initial Program OSAKA (SIO)
Product
YODO Asset World

Kept current from routine video.

YODO Asset World matches each asset to its ledger row and reports what changed.

Customers

Already in use on site.

At some of these sites, robots use the model too.

RICOH
Machine rooms and plants

Routine 360° video keeps the machine room's model current, each machine matched to its row in the equipment register.

Ricoh Company, Ltd. (technology partnership)

サキュレ
Roads and streets

Patrol video from the vehicle keeps the street's model current, the road surface and each tree as its own asset.

Sakyure Co., Ltd.

Mining

Survey photographs sorted to each piece of equipment and compared with the year before. 21 person-days became one.

Australian Mine

NEDOMETI
Airport

Each bag on the belt enters the model as its own asset, and the loading robot works from it.

New Energy and Industrial Technology Development Organization (NEDO) · Ministry of Economy, Trade and Industry (METI)

Factory

Robots from three companies read and write the same site model.

Three robotics companies

Technology

On-site spatial intelligence

Site-centric: what one camera sees, the next person or robot can use.

One site state

Field teams, office records and robots from three vendors read and write one model of the site. A robot continues where a person left off.

Site teamsWeb app · phone · tabletOfficeLedgers · drawingsRobotCompany ARobotCompany BRobotCompany C3D twin · asset IDs · historyRead · Write

Robot‑centric and site‑centric

Alone, a robot has its own map, but only as unnamed geometry: it relabels objects each time they reappear, and a new pallet is just something not in its map. Connected, it sees persistent asset IDs, what changed beyond its sensors, and the other agents on site.

Robot-centric
Site-centric · YODO Asset World

From a robot's camera

Through the API, a robot sends one frame and receives its pose, the asset ID in view and that asset's record. Two identical tanks are resolved by position.

Foundations

PMP-014TNK-021CNV-007BLW-003VLV-1125 mOne walkcaptureminutes, any cameramodeldense 3D, to scaleunitsmetres, not pixelsassetseach pinned to its IDany camera, no targets on site

01

A metric model from one walk

Each frame of a routine walk is placed in the site's model from the images alone, with no targets on the site.

Each asset is pinned to its ID by position, and later frames from a phone or robot find their place in it.

Team

Xiuxi Pan, PhD

Xiuxi Pan, PhD

Cofounder & CTO

Published work in Computer Vision, Computational Imaging, Generative Model. Led the production and implementation of AI solutions for major Japanese and international enterprises. Profiled by WIRED and Nikkei as an early pioneer of AI in Japan.

Sho Osawa

Sho Osawa

Cofounder & CEO

Former strategy consultant at Strategy& (PwC) and Westpac Banking Group. Scaled a SEA start-up insurer from zero to 150M in insured exposure in two years, leveraging automation and AI.

Bona Bai, PhD

Bona Bai, PhD

Robotics Lead

15 years building autonomous systems across Amazon (Astro), Google Wing, and Figure AI. Full-stack autonomy from sensor fusion and perception through to real-time decision making.

Prof. Tomoya Nakamura

Prof. Tomoya Nakamura

Research Advisor

Professor at The University of Osaka and Visiting Professor at Stanford University. Computational Imaging, Computer Vision, AI Optics.

Running a site

See what YODO Asset World finds in your footage.

Joining the team

We are hiring research scientists, solutions engineering managers, product managers and interns. If no listed role fits, write to us anyway.