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Business Overview
Founders
Board and Advisors
Funding Rounds
AI Technology Stack
Patents

PerimeterX

Chatbot, Cyber Security, Enterprise
Deep Learning Machine Learning

Business Overview

PerimeterX provides the most powerful, accurate, and proven bot detection solution. PerimeterX is built upon machine learning based behavioral analytics to achieve the highest level of detection accuracy and scalability. It also includes the most comprehensive set of integrations for seamless deployment into any infrastructure.

Operating Status
Active
Founded
November 2014
Employees
140
Business model
B2B
Offering type
Software
Funding stage
Series D
Business stage
Launched
Revenue status
Revenue Generating
Total funding
$149 Million
Investors
Adams Street Partners, AllianceBernstein, Canaan Partners, Data Collective, Deutsche Telekom Capital Partners, Golden Arc Capital, JS Capital, Salesforce Ventures, Scale Venture Partners, Stereo Capital, Vertex Ventures
Sectors
Chatbot, Cyber Security, Enterprise

Founders

PerimeterX
Omri Iluz
CEO
PerimeterX
Ido Safruti
CTO
PerimeterX
Ophir Ashkenazi
CFO

Board Members and Advisors

PerimeterX
Jonathan Heiliger
Board Member

Funding Rounds

Calculated as the average ratio between the current funding round amount raised and the previous funding round amount raised. Note that 'plus' rounds are summed together. i.e. Series A = Series A and Series A+.
Funding Growth Multiple
1.7x

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

February 2021
Series D
$57 M
Adams Street Partners, AllianceBernstein, Canaan Partners, Deutsche Telekom Capital Partners, Golden Arc Capital, JS Capital, Scale Venture Partners, Stereo Capital, Vertex Ventures
September 2019
Series C+
$14 M
Deutsche Telekom Capital Partners, Salesforce Ventures
February 2019
Series C
$43 M
Adams Street Partners, Canaan Partners, Data Collective, Scale Venture Partners, Vertex Ventures
View All Funding Rounds (5 Total)

AI Technology Stack

AI Description

Our cloud-based detector evaluates sensor data in real-time using machine learning and behavioral analytics to create a risk score. The risk score identifies whether a user is malicious or not and is sent in a secure and encrypted token back to the user’s device.

AI employees
8
AI types
Deep Learning, Machine Learning
ML types
Semi-Supervised Learning, Supervised Learning
AI algorithms
Linear Regression, Logistic Regression, time series, XGBoost
AI tasks
Anomaly Detection
AI tools
Google BigQuery, Jupyter, Pandas, Spark
Coding
Python, SQL
AI inference
Cloud
Cloud provider
Amazon Web Services

Patents

Analyzing client application behavior to detect anomalies and prevent access

US-10708287-B2
  • Granted
  • 07/07/2020

Securing ordered resource access

US-2018109540-A1
  • Application

Analyzing client application behavior to detect anomalies and prevent access

US-10178114-B2
  • Granted
  • 08/01/2019

In The News

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