About Angels, Inc
crowdfunding & business consulting, venture capital & private equity principals
Angels, Inc's Tech Stack
Decision Makers at Angels, Inc
1 contactJacques Deguest
Co Founder & CEO
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Angels, Inc uses DigitalOcean, Apache, Google Font API among other technologies. Use StackWho to identify the right decision-maker email for targeted sales outreach, recruiting, or partnership development.
Angels, Inc's Position in the StackWho Database
- • Angels, Inc is 1 of 4,994 venture capital & private equity companies tracked in StackWho.
- • 4,988 venture capital & private equity companies in our database have verified decision-maker emails (100% of the cohort).
- • 1,660 companies in Tokyo are in the StackWho database.
- • 2,355 venture capital & private equity companies are in the 1-10 employee range (same size as Angels, 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 Angels, Inc use?
Angels, Inc uses DigitalOcean, Apache, Google Font API, Mobile Friendly, Remote, Deel, and 1 more technologies. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at Angels, Inc?
StackWho has verified email addresses for 1 decision maker at Angels, Inc. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Angels, Inc directly for sales, recruiting, or partnerships.
What industry is Angels, Inc in?
Angels, Inc operates in the venture capital & private equity industry, headquartered in Chiyoda City, Tokyo, Japan. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export Angels, Inc's contact data?
Yes. StackWho Pro members can export decision maker contact data for Angels, Inc and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.
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