Pigtie

pigtie.de

Munich, Bavaria, Germany

1-10 employees

LinkedIn Profile

About Pigtie

investment, android, etfs, app, finanzdienstleistung, finanzplanung, sparplan, ios, mobile, internet, information technology & services

Pigtie's Tech Stack

AI/ML

10 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.

Pigtie's Position in the StackWho Database

• Pigtie 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).
• 5,612 companies in Bavaria are in the StackWho database.
• 8,943 financial services companies are in the 1-10 employee range (same size as Pigtie).

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

Frequently Asked Questions

What technology does Pigtie use?

Pigtie uses Gmail, Google Apps, Amazon AWS, Mobile Friendly, Google Play, Google Tag Manager, and 4 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Pigtie?

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

What industry is Pigtie in?

Pigtie operates in the financial services industry, headquartered in Munich, Bavaria, Germany. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Pigtie's contact data?

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