GEE Inc.

gee2016.com

automotive

gee2016.com

Hamamatsu, Shizuoka Prefecture, Japan

1-10 employees

LinkedIn Profile

About GEE Inc.

motor vehicle manufacturing, automotive

GEE Inc.'s Tech Stack

AI/ML

Decision Makers at GEE Inc.

1 contact

Masahiro Kambara

CEO

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4 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

GEE Inc. uses Nginx, YouTube, Mobile Friendly among other technologies. Use StackWho to identify the right decision-maker email for targeted sales outreach, recruiting, or partnership development.

GEE Inc.'s Position in the StackWho Database

• GEE Inc. is 1 of 4,192 automotive companies tracked in StackWho.
• 4,157 automotive companies in our database have verified decision-maker emails (99% of the cohort).
• 8 companies in Shizuoka Prefecture are in the StackWho database.
• 1,241 automotive companies are in the 1-10 employee range (same size as GEE Inc.).

Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated July 2026.

Frequently Asked Questions

What technology does GEE Inc. use?

GEE Inc. uses Nginx, YouTube, Mobile Friendly, AI. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at GEE Inc.?

StackWho has verified email addresses for 1 decision maker at GEE Inc.. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach GEE Inc. directly for sales, recruiting, or partnerships.

What industry is GEE Inc. in?

GEE Inc. operates in the automotive industry, headquartered in Hamamatsu, Shizuoka Prefecture, Japan. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export GEE Inc.'s contact data?

Yes. StackWho Pro members can export decision maker contact data for GEE Inc. and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.