NDC Partners

NDC Partners

ndcpartners.com

financial services

Gainesville, Florida, United States
1-10 employees

NDC Partners's Tech Stack

Decision Makers at NDC Partners

1 contact

Slava Kuznetsov

Chief Technology Officer

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3 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

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

NDC Partners's Position in the StackWho Database

  • NDC Partners 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).
  • 18,400 companies in Florida are in the StackWho database.
  • 8,943 financial services companies are in the 1-10 employee range (same size as NDC Partners).

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 NDC Partners use?

NDC Partners uses Gmail, Google Apps, Mobile Friendly. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at NDC Partners?

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

What industry is NDC Partners in?

NDC Partners operates in the financial services industry, headquartered in Gainesville, Florida, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export NDC Partners's contact data?

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