bestat
Category: AI in Manufacturing
Tokyo-based AI startup spun out of the University of Tokyo's Matsuo Lab, providing an industrial 3D data generation, management and utilization cloud platform called 3D.Core for manufacturing and infrastructure sectors. bestat was founded in 2018. The company is led by Naoko Matsuda. Based in Tokyo, Japan. Team size: 11-50. Total funding raised: $2.8M. Latest round: Series A. Key investors include Chiba Dojo Fund, DG Incubation, Innovation Engine (IE AI & Green Revolution Investment LP), Coconala Skill Partners, Sapporo Innovation Fund, Suho Investment Works, Darwin Venture Management Corporation, NANKAI NEXT Ventures, Mizuho Capital, Fidea Capital, Tottori Capital, Hokkaido Kyoso Partners.
- Founded
- 2018
- Headquarters
- Tokyo, Japan
- Team size
- 11-50
- Total funding
- $2.8M
Value proposition
Patented AI algorithm from University of Tokyo Matsuo Lab enables high-precision (up to ~99% accuracy) 3D data generation from photos, video, and point cloud data — making industrial-grade 3D data creation accessible without specialized equipment or expertise, with end-to-end workflow from capture to CAD conversion and inspection reports.
Products and solutions
3D.Core (industrial 3D data generation & management platform), 3D.Core for Point Cloud (point cloud to 3D model conversion), 3D.Core CAD Agent (AI agent for CAD model generation from 2D drawings), 3D.Core API, Digital Twin construction services
Unique value
Patented AI algorithm from University of Tokyo Matsuo Lab enables high-precision (up to ~99% accuracy) 3D data generation from photos, video, and point cloud data — making industrial-grade 3D data creation accessible without specialized equipment or expertise, with end-to-end workflow from capture to CAD conversion and inspection reports.
Target customer
Manufacturing companies, infrastructure operators, construction firms, plant/factory operators, bridge/infrastructure maintenance teams, decommissioning sites, electric power companies
Industries served
Manufacturing, Infrastructure & Civil Engineering, Construction, Electric Power, Plant & Factory Operations, Bridge Maintenance & Inspection
Technology advantage
Patented AI algorithm from University of Tokyo Matsuo Lab for 3D reconstruction; depth estimation AI; improved SLAM-based SfM (Structure from Motion); point cloud to mesh/CAD conversion with lightweight processing; patented cylindrical shape detection technology; high precision (~99% accuracy); ability to handle large data volumes on notebook PCs
How they differentiate
Unlike Matterport (focused on real estate/property tours) and Autodesk (general-purpose CAD), bestat specializes in industrial-grade precision for manufacturing and infrastructure, with patented AI algorithms from the University of Tokyo Matsuo Lab that achieve ~99% accuracy from simple photo/video capture, and end-to-end workflow from data capture to CAD conversion and inspection report generation.
Main competitors
Matterport, Autodesk, Vuforia (PTC)
Key partnerships
NVIDIA Omniverse integration (2025), Ricoh RICOH360 / RICOH THETA partnership, IHI Infrastructure Systems (steel bridge maintenance digitalization), Macnica (Food Agri Tech Incubation Base), University of Tokyo Matsuo Lab
Notable customers
IHI Infrastructure Systems, Macnica
Major milestones
2018: Founded, 2020: First 3D data processing product released, 2023: Seed round ¥80M (cumulative ¥110M), 2023: Selected for Open Network Lab Batch 27 accelerator, 2024: Ricoh RICOH360 partnership, 2025-04: NVIDIA Omniverse integration, 2025-10: Series A first close ¥100M, 2025: IHI Infrastructure Systems adoption, 2026-01: 3D.Core for Point Cloud launch, 2026-02: 3D.Core CAD Agent launch, 2026-07: Series A final close ¥310M
Growth metrics
Targeting 10x annual data growth; goal to provide 6% of global industrial 3D data needs by 2030
Market positioning
Niche leader in industrial 3D data generation for Japan's manufacturing and infrastructure sectors, competing against global heavyweights by offering higher precision and simpler capture workflows for industrial use cases
Geographic focus
Japan (primary), with stated plans for overseas expansion
Patents and IP
Patented technology for automatic detection of cylindrical shapes from point clouds and meshes with high precision; multiple domestic patents in Japan
About Naoko Matsuda
Ex-METI (Ministry of Economy, Trade and Industry) Policy Officer; RIETI (Research Institute of Economy, Trade and Industry) Researcher; Columbia University Master's (Political Economy); University of Tokyo Ph.D. in Engineering (Matsuo Lab)
Latest news about bestat
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Official website: https://www.bestat-data.com