Lee Chang is an Investor at Foxconn, whose known portfolio counts 10 companies.
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Investment focus
Contacts
Affiliated funds' portfolios
Investor at Foxconn, whose known portfolio counts 10 companies
- Kneron
- Astor
- Gogoro
- Neteera
- indiGO Tech
- Lordstown Motors
- Sonatus
- XRSpace
- Indigo Technologies
- Nuwa Robotics
Investor Profile
Lee Chang is listed against sectors AI, Climate, Consumer and Hardware, and focus areas AR/VR, Autonomous Vehicles, Battery and Computer Vision in the database.
Foxconn appears in Growth, Late-Stage and Series A rounds across its known deals.
The firm portfolio and the focus above give founders context on whether Lee Chang matches their raise.
Colleagues at Foxconn
Frequently asked questions
Who is Lee Chang?
Lee Chang is a corporate venture investor based in San Francisco, California, United States, listed as Investor at Foxconn. The known portfolio of that firm counts 10 companies. That portfolio belongs to the firm, not to Lee Chang personally.
What does Lee Chang invest in?
Listed sectors include AI, Climate, Consumer and Hardware; listed focus areas include AR/VR, Autonomous Vehicles, Battery and Computer Vision. Those tags come from the portfolios of the firms this profile is attached to, so they read as a record of what has been backed rather than a stated preference for what comes next.
What stage does Lee Chang invest at?
Foxconn appears in Growth, Late-Stage and Series A rounds across its known deals, and Lee Chang is listed there as Investor. Stage is the strongest single filter when you build a target list: an investor with no record at your stage rarely starts with you.
Which firm is Lee Chang listed at?
Lee Chang is listed as Investor at Foxconn. 2 other people in the database share a firm with Lee Chang.
How do I contact Lee Chang?
A LinkedIn page is on file for Lee Chang. It is readable inside RaiseHunt after you create an account. The database holds no email address and no phone number for this profile.
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Data: RaiseHunt investor dataset · Snapshot 5 September 2026 · How this data is built · Report a correction or request removal