Argyle Data

Argyle Data uses Hadoop and machine learning to help mobile operators fight the $46 billion mobile fraud problem. Argyle Data’s system is used by some of the world’s largest mobile operators to gain real-time visibility into revenue threats and attack patterns. On average, such attacks cost the mobile communications industry 2% of revenue, or an estimated $46 billion a year. Argyle Data provides a real-time revenue threat analytics application built natively on Hadoop using the latest machine learning and anomaly detection technology to identify fraud at scale. This enables operators to detect previously undiscoverable fraud in minutes rather than hours or days, discover both new and old fraud attack patterns, and dramatically reduce false positives, saving millions of dollars. Argyle Data currently offers native Hadoop applications for fraud threat analytics, profit threat analytics, SLA threat analytics, and forensic threat analytics.
Type
Private
HQ
San Mateo, US
Founded
2009
Employees
25 (est)-3%
Argyle Data was founded in 2009 and is headquartered in San Mateo, US

Argyle Data Locations

San Mateo, US
Slough, GB

Argyle Data Metrics

Argyle Data Summary

Founding Date

2009

Total Funding

$21 M

Latest funding size

$4.5 M

Time since last funding

about 2 years

Investors

Argyle Data's latest funding round of $4.5 M was in October 2014. In total, Argyle Data has raised $21 M.
15% of current employees of Argyle Data are female and 85% are male.

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