reesca AG

reesca AG

reesca.de

real estate

Frankfurt, Hesse, Germany
1-10 employees

About reesca AG

immobilienfinanzierung, digitale plattform, umfangreiche services, spezialprodukte, real estate, gewerbliche immobilien, projektentwickler

8 technologies detected · 2 decision makers · Emails available

Sales Outreach Angle

AWS infrastructure signals engineering sophistication. This company likely evaluates cloud cost management, security tooling, observability, and developer productivity solutions.

reesca AG's Position in the StackWho Database

  • reesca AG is 1 of 9,334 real estate companies tracked in StackWho.
  • 9,307 real estate companies in our database have verified decision-maker emails (100% of the cohort).
  • 1,810 companies in Hesse are in the StackWho database.
  • 4,685 real estate companies are in the 1-10 employee range (same size as reesca AG).

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 reesca AG use?

reesca AG uses Amazon AWS, Outlook, Mobile Friendly, Microsoft-IIS, Etracker, Vimeo, and 2 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at reesca AG?

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

What industry is reesca AG in?

reesca AG operates in the real estate industry, headquartered in Frankfurt, Hesse, Germany. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export reesca AG's contact data?

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