Complytek - Crunchbase Company Profile & Funding

Q: Where is Complytek's headquarters?

Complytek is located in Aradhippou, Larnaca, Cyprus.

Overview

Complytek

Growth Score

Heat Score

Company Performance Metrics

Score

Trend

About These Metrics

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Growth Score - The measure of growth based on company activity, operational metrics, and investments

Growth Trend - The change in the growth score over the given time period

Heat Score - The measure of the market interest, media activity, and Crunchbase profile activity

Heat Trend - The change in the heat score over the given time period

Recent Milestones

Raised Funding Round

Jan 1, 1970

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Raised Funding Round

Jan 1, 1970

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Raised Funding Round

Jan 1, 1970

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About Complytek

CB Rank

349070

Complytek offers AI-driven KYC, AML, fraud detection, and GRC solutions for financial services.

Founded

obfuscation

Private

Aradhippou, Larnaca, Cyprus

11-50

www.complytek.ai

Artificial Intelligence (AI)

Financial Services

Machine Learning

Software

Key People

Anastasios Ttiniozou: Executive Director & Co-founder
Past Role: KPMG, IRM ASSOCIATE

Details

Legal Name

Complytek IT SOLUTIONS LTD

Operating Status

Active

Company Type

For Profit

Founders

Anastasios Ttiniozou

About the Company

Complytek provides AI-powered solutions for compliance management, focusing on KYC (Know Your Customer), AML (Anti-Money Laundering), fraud detection, and GRC (Governance, Risk, and Compliance). The company serves various sectors including banking, investment, forex, and insurance, helping organizations meet global regulatory requirements

efficiently and securely.

Phone Number

357 24 531975

Contact Email

info@complytek.ai

Predictions & Insights

Growth Prediction

See this Growth Prediction

Products & Services

KYC & AML Fraud Solutions

An integrated software platform for managing customer onboarding, risk checks, and transaction monitoring to meet regulatory compliance in financial services.

AML & Machine Learning

A hybrid AML transaction monitoring system combining rule-based scenarios with machine learning to detect suspicious activities and reduce false positives.