Money Sentral

Money Sentral

moneysentral.com

financial services

Noida, Uttar Pradesh, India
1-10 employees

About Money Sentral

financial wellness, aidriven personalization, loan refinancing

4 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

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

Money Sentral's Position in the StackWho Database

  • Money Sentral 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).
  • 1,177 companies in Uttar Pradesh are in the StackWho database.
  • 8,943 financial services companies are in the 1-10 employee range (same size as Money Sentral).

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 Money Sentral use?

Money Sentral uses Cloudflare DNS, CloudFlare Hosting, Mobile Friendly, Bootstrap Framework. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Money Sentral?

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

What industry is Money Sentral in?

Money Sentral operates in the financial services industry, headquartered in Noida, Uttar Pradesh, India. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Money Sentral's contact data?

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