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10 Top Machine Learning Startups and Companies in Cyprus (2021)

This article showcases our top picks for the best Cyprus based Machine Learning companies. These startups and companies are taking a variety of approaches to innovating the Machine Learning industry, but are all exceptional companies well worth a follow.

We tried to pick companies across the size spectrum from cutting edge startups to established brands.

We selected these startups and companies for exceptional performance in one of these categories:

  • Innovation
    • Innovative ideas
    • Innovative route to market
    • Innovative product
  • Growth
    • Exceptional growth
    • Exceptional growth strategy
  • Management
  • Societal impact

Top Cyprus Machine Learning Startups

Data sourced from Crunchbase and SemRush.

YouScan

YouScan

Crunchbase Website Twitter Facebook Linkedin

AI-powered social media listening and image recognition platform, trusted by 500+ major brands and agencies worldwide.

L2P LIMITED

L2P LIMITED

Crunchbase Website Twitter Facebook Linkedin

International esports EdTech company

L2P LIMITED

Malloc

Crunchbase Website Twitter Facebook Linkedin

An AI startup providing solutions for privacy and data security. www.mallocprivacy.com

L2P LIMITED

YOUS

Crunchbase Website Twitter Facebook Linkedin

AI-based translator for calls

L2P LIMITED

Teastock

Crunchbase Website Twitter Facebook Linkedin

We are using machine learning and Big Data to bring you the most accurate stock movement information algorithm.

L2P LIMITED

Mangosoft

Crunchbase Website Twitter Facebook Linkedin

We bring your vision to life with world class apps

L2P LIMITED

FraudScore

Crunchbase Website Twitter Facebook Linkedin

FraudScore is a high-precision and feature-rich fraud-fighting platform that uses machine learning.

L2P LIMITED

SUMMARLY

Crunchbase Website Twitter Facebook Linkedin

Summarizing Everyday Communication

L2P LIMITED

Waypoint Metrics

Crunchbase Website Twitter Facebook Linkedin

Data Analytics and AVM for Greece, Cyprus

Written by Mark Kendall

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