Babel Finance

Babel Finance

babel.finance

financial services

Hong Kong, Hong Kong Island, Hong Kong
11-50 employees
14300000 revenue
7 technologies detected · 2 decision makers · Emails available

Sales Outreach Angle

Babel Finance operates in financial services. Strong sales angles include risk reduction, compliance automation, fraud prevention, and reporting/analytics tools.

Babel Finance's Position in the StackWho Database

  • Babel Finance is 1 of 21,667 financial services companies tracked in StackWho.
  • 21,586 financial services companies in our database have verified decision-maker emails (100% of the cohort).
  • 779 companies in Hong Kong Island are in the StackWho database.
  • 7,667 financial services companies are in the 11-50 employee range (same size as Babel Finance).

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

Frequently Asked Questions

What technology does Babel Finance use?

Babel Finance uses Cloudflare DNS, Amazon SES, Outlook, CloudFlare Hosting, VueJS, Bootstrap Framework, and 1 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Babel Finance?

StackWho has verified email addresses for 2 decision makers at Babel Finance. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Babel Finance directly for sales, recruiting, or partnerships.

What industry is Babel Finance in?

Babel Finance operates in the financial services industry, headquartered in Hong Kong, Hong Kong Island, Hong Kong. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Babel Finance's contact data?

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