Sibylla AI

sibylla.io

financial services

sibylla.io

United Kingdom

1-10 employees

LinkedIn Profile

Sibylla AI's Tech Stack

Other

CloudFlare Hosting

Cloudflare DNS Data Analytics Google Apps

Email

Gmail

AI/ML

Decision Makers at Sibylla AI

1 contact

Khan Baykaner

Chief Technology Officer

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6 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

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

Sibylla AI's Position in the StackWho Database

• Sibylla AI 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).
• 8,943 financial services companies are in the 1-10 employee range (same size as Sibylla AI).

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 Sibylla AI use?

Sibylla AI uses Cloudflare DNS, Gmail, Google Apps, CloudFlare Hosting, Data Analytics, AI. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Sibylla AI?

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

What industry is Sibylla AI in?

Sibylla AI operates in the financial services industry, headquartered in United Kingdom. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Sibylla AI's contact data?

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