Multi-environment data visualization for next-generation EV L2–L4 evaluation
Global 500 automotive manufacturer
- Multi-environment visualization
- Japan–US collaboration
- GB-scale
- Per-session data
- 60fps
- Web rendering
- 3
- In-vehicle / web / local
(03) Cases
Eight representative projects delivered in Japan for Global 500 companies, listed enterprises and high-growth technology companies. All were delivered by the same core team.
Global 500 automotive manufacturer
TSE-listed fintech company
Large systems integrator
TSE-listed · global entertainment / IP leader
Physical AI company for construction
Large digital content platform
Employee-wellness startup
Generative AI social app startup
Client names are anonymized under confidentiality obligations. These cases describe engineering delivery only; they do not imply any client approval, endorsement or investment intent.
Selected
Global 500 automotive manufacturer | Japan–US collaboration
Autonomous-driving data platforms used fragmented formats, so large datasets could not be visualized consistently or in real time across in-vehicle, web and local environments.
We led the design of a unified data pipeline and the overall visualization architecture, coordinating multiple data teams in Japan and the US across local replay, online streaming and cloud rendering.
The design was adopted by the delivery team and now directly supports L2–L4 autonomous-driving evaluation for the company’s next-generation EVs.
TSE-listed fintech company | TSE-listed · global entertainment / IP leader
Large digital content platform | Construction physical AI company
Clients
Contact
Tell us about the problem, the current state and the goal. We will start with diagnosis and work through it with you.
Start a conversation