AI strategy design, cloud architecture, and product development.
From consulting to deployment — one-stop DX for the field.
*Computer vision is a field of artificial intelligence (AI) that enables computers to derive information from images, videos, and other visual data.
ScrollAbout Us
Mobispace Inc. is an AI and computer vision company based in Japan that visualizes job sites from 360° camera images. We develop and deliver high-efficiency computer vision technology for construction DX, infrastructure inspection, vehicle appraisal, and LiDAR 3D measurement, using cutting-edge and experimental methods.
BUSINESS
Mobispace draws on years of field expertise to tackle the challenges facing the construction industry.
We deliver insights and solutions tailored to each client's needs.
"Solving with computing, not just data."
As discussed at NVIDIA GTC 2026,
the era is shifting from "AI that learns from massive data" to "AI that understands through computation."
Mobispace implements this cutting-edge philosophy across every machine vision domain — including LiDAR — not just construction sites.
WHAT WE DO
Traditional AI required tens of thousands of training images.
Through our proprietary AI and computer vision technology, we achieve:
LLM generates detection policies → Human expertise embedded into the pipeline as "attention modules" → Training data drastically reduced
This delivers high-precision analysis with far less training data.
As a software company, we also design and build applications — using AI to dramatically accelerate the development and release process.
TECHNOLOGY
Capture space, progress, and quality from a single 360° image.
Mobispace AI can, from a single 360° image: 1) detect objects, 2) determine spatial relationships from visual cues, 3) track progress over time, and 4) obtain dimensional data needed for indoor/outdoor quality control.
No additional LiDAR sensors or specialized equipment required. 360° images taken during routine inspections can be used directly for analysis.
Beyond object detection — understanding context.
Conventional detection models recognize targets as individual objects. For example, they detect a safety helmet simply as "a helmet."
Mobispace AI also judges context. A helmet on a worker's head is compliant; held in their hand, it's a safety concern. This contextual understanding improves recognition accuracy of site conditions and construction progress.
Exploring global cutting-edge technology and turning it into field value.
Our LLM-powered research platform scans thousands of scientific papers across multiple industries to extract the latest effective technologies.
We combine advances from different fields to solve client challenges. For example, if we understand the core functionality of a medical-domain model, we can adapt and deploy it in the construction field.
NEWS
| 2025.08.30 | Our initiatives featured on NewsPicks |
|---|---|
| 2025.07.22 | CTO Ujwal Kumar selected for NVIDIA Inception Program |
| 2025.06.17 | CEO Sho Katayama selected for Nikkei THE PITCH Social Business School |
