About FEDChex
national collections, collection agency, debt collections, consumer collections, check collections, medical collections, healthcare collections, accounts receivables, fitness, education, government, retail, service industries, ecommerce, chargebacks, electronic payments, custom software, compliance, b2b collections, consumer dispute tracking
FEDChex's Tech Stack
Other
Cloud
Frontend
Backend
Analytics
AI/ML
Decision Makers at FEDChex
1 contactRodney Davis
CEO
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FEDChex's Position in the StackWho Database
- • FEDChex 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).
- • 53,147 companies in California are in the StackWho database.
- • 7,667 financial services companies are in the 11-50 employee range (same size as FEDChex).
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 FEDChex use?
FEDChex uses Outlook, Microsoft Office 365, Cloudflare DNS, Amazon SES, CloudFlare Hosting, CloudFlare, and 12 more technologies. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at FEDChex?
StackWho has verified email addresses for 1 decision maker at FEDChex. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach FEDChex directly for sales, recruiting, or partnerships.
What industry is FEDChex in?
FEDChex operates in the financial services industry, headquartered in Lake Forest, California, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export FEDChex's contact data?
Yes. StackWho Pro members can export decision maker contact data for FEDChex 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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