What technologies does FraudScore - Independent Fraud Detection & Prevention use?

FraudScore - Independent Fraud Detection & Prevention uses Route 53, Mailchimp Mandrill, Gmail, Google Apps, Facebook Widget. View their full technology stack — including all 15 detected tools — on StackWho.

Who is the CEO of FraudScore - Independent Fraud Detection & Prevention?

Dmitry Isakov is the CEO at FraudScore - Independent Fraud Detection & Prevention. Get verified contact information on StackWho.

FraudScore - Independent Fraud Detection & Prevention

Q: Where is FraudScore - Independent Fraud Detection & Prevention located?

FraudScore - Independent Fraud Detection & Prevention is based in Yekaterinburg, Sverdlovsk Oblast, Russia.

fraudscore.ai

information technology & services

fraudscore.ai

Yekaterinburg, Sverdlovsk Oblast, Russia

1-10 employees

2000000 revenue

LinkedIn Profile

About FraudScore - Independent Fraud Detection & Prevention

fraud analysis, fraud detection, advertising analytics, fraud monitoring, traffic analysis, adtech, marketing, mobile, mobile games, mobile advertising, advertising, information technology, security, consumer internet, internet, bot farm detection, mobile and desktop traffic support, traffic analysis tools, click fraud detection, computer systems design and related services

FraudScore - Independent Fraud Detection & Prevention's Tech Stack

AI/ML

Decision Makers at FraudScore - Independent Fraud Detection & Prevention

1 contact

Dmitry Isakov

CEO

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15 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

FraudScore - Independent Fraud Detection & Prevention is a technology company. Software vendors, dev tools, and SaaS platforms find technology companies like this highly receptive. Use StackWho to identify the right decision-maker (CTO, VP Eng, or Head of Product) and reach out with a stack-specific pitch.

FraudScore - Independent Fraud Detection & Prevention's Position in the StackWho Database

• FraudScore - Independent Fraud Detection & Prevention is 1 of 194,140 information technology & services companies tracked in StackWho.
• 193,618 information technology & services companies in our database have verified decision-maker emails (100% of the cohort).
• 14 companies in Sverdlovsk Oblast are in the StackWho database.
• 97,391 information technology & services companies are in the 1-10 employee range (same size as FraudScore - Independent Fraud Detection & Prevention).

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 FraudScore - Independent Fraud Detection & Prevention use?

FraudScore - Independent Fraud Detection & Prevention uses Route 53, Mailchimp Mandrill, Gmail, Google Apps, Facebook Widget, Facebook Login (Connect), and 9 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at FraudScore - Independent Fraud Detection & Prevention?

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

What industry is FraudScore - Independent Fraud Detection & Prevention in?

FraudScore - Independent Fraud Detection & Prevention operates in the information technology & services industry, headquartered in Yekaterinburg, Sverdlovsk Oblast, Russia. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export FraudScore - Independent Fraud Detection & Prevention's contact data?

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