DexM

Internal Fraud Detection for Small Businesses

Cyber Security
Non Active, Feb 2019 ceased to operate
Pre-Seed Tel Aviv-Yafo Founded 2017
LinkedIn
Total raised
Stage
Pre-Seed
Founded
2017
Headcount
1-10
HQ
Tel Aviv-Yafo
Sector
Cyber Security

About

DexM offers in-house fraud detection for businesses with point-of-sale terminals. DexM's solution uses complex algorithms that learn and identify business and employee patterns for abnormality detection and prediction. DexM notifies users when fraudulent activity takes place and makes suggestions for apprehension and prevention of such activity.

Company Intelligence Q&A

Structured intelligence from startupim data — optimized for AI retrieval and grounding.

What is DexM's primary business offering?
DexM provides in-house fraud detection solutions for businesses utilizing point-of-sale terminals. Their system uses algorithms to identify abnormal business and employee patterns, predict fraudulent activity, and suggest prevention methods.
When was DexM founded?
DexM was founded in February 2017.
What is the operational status of DexM?
DexM is currently inactive, having ceased operations in February 2019.
Where is DexM headquartered?
DexM is headquartered in Tel Aviv-Yafo, Israel.
What is DexM's primary sector classification?
DexM's primary sector is Cyber Security.
What technologies does DexM utilize?
DexM utilizes Platforms & Interfaces and Web technologies.
Who are the founders of DexM?
The founders of DexM are Arbel Englander and Ishai Shilo.
What is the employee count for DexM?
DexM had an employee count in the 1-10 range.
What business model does DexM primarily use?
DexM primarily operates on a B2B business model.

Sectors & technology

Primary sector
Cyber Security
Technologies
Platforms & InterfacesWeb
Target customers
Enterprise & Professional ServicesSMBs & SMEsCommerce & RetailDistribution ChannelseCommerce PlatformsOmni Channel
Business model
B2B

Highlights

Verified

Tags

insider-threattransactionsiamfintechartificial-intelligencesmbrestaurantspredictive-analyticsanti-fraudpoint-of-salealgorithmspayments