Scalarr

About Scalarr

Scalarr offers an AI-enabled anti-fraud toolkit that utilizes unsupervised and semi-supervised machine learning to detect mobile ad fraud patterns in real time. By leveraging a comprehensive knowledge database, the solution provides mobile marketers with high accuracy in identifying and mitigating fraudulent activities, ultimately protecting their advertising budgets.

```xml <problem> Mobile marketers face significant financial losses due to ad fraud, which can be difficult to detect in real-time using traditional methods. Inaccurate fraud detection leads to wasted advertising budgets and skewed campaign performance data. </problem> <solution> Scalarr offers an AI-powered anti-fraud toolkit designed to identify and mitigate mobile ad fraud. The solution employs unsupervised and semi-supervised machine learning algorithms to analyze ad traffic patterns and detect fraudulent activities with high accuracy. By leveraging a comprehensive knowledge database, Scalarr provides mobile marketers with real-time insights into ad fraud, enabling them to protect their advertising budgets and optimize campaign performance. The platform's AI EdgeLabs component extends protection to Edge/IoT critical infrastructure. </solution> <features> - Real-time ad fraud detection using unsupervised machine learning - Personalized machine learning models that adapt to evolving fraud patterns - Semi-supervised machine learning for enhanced accuracy in identifying fraudulent activities - Comprehensive knowledge database for deeper understanding of fraud crime rings - AI EdgeLabs for cybersecurity protection of Edge/IoT infrastructure </features> <target_audience> The primary target audience includes mobile marketers and user acquisition professionals seeking to protect their advertising budgets from fraudulent activities. </target_audience> ```

What does Scalarr do?

Scalarr offers an AI-enabled anti-fraud toolkit that utilizes unsupervised and semi-supervised machine learning to detect mobile ad fraud patterns in real time. By leveraging a comprehensive knowledge database, the solution provides mobile marketers with high accuracy in identifying and mitigating fraudulent activities, ultimately protecting their advertising budgets.

Where is Scalarr located?

Scalarr is based in Dover, United Kingdom.

When was Scalarr founded?

Scalarr was founded in 2016.

How much funding has Scalarr raised?

Scalarr has raised 10000000.

Location
Dover, United Kingdom
Founded
2016
Funding
10000000
Employees
16 employees
Major Investors
EBRD Venture Capital

Find Investable Startups and Competitors

Search thousands of startups using natural language

Scalarr

⚠️ AI-generated overview based on web search data – may contain errors, please verify information yourself! You can claim this account with your email domain to make edits.

Executive Summary

Scalarr offers an AI-enabled anti-fraud toolkit that utilizes unsupervised and semi-supervised machine learning to detect mobile ad fraud patterns in real time. By leveraging a comprehensive knowledge database, the solution provides mobile marketers with high accuracy in identifying and mitigating fraudulent activities, ultimately protecting their advertising budgets.

scalarr.io700+
cb
Crunchbase
Founded 2016Dover, United Kingdom

Funding

$

Estimated Funding

$10M+

Major Investors

EBRD Venture Capital

Team (15+)

No team information available.

Company Description

Problem

Mobile marketers face significant financial losses due to ad fraud, which can be difficult to detect in real-time using traditional methods. Inaccurate fraud detection leads to wasted advertising budgets and skewed campaign performance data.

Solution

Scalarr offers an AI-powered anti-fraud toolkit designed to identify and mitigate mobile ad fraud. The solution employs unsupervised and semi-supervised machine learning algorithms to analyze ad traffic patterns and detect fraudulent activities with high accuracy. By leveraging a comprehensive knowledge database, Scalarr provides mobile marketers with real-time insights into ad fraud, enabling them to protect their advertising budgets and optimize campaign performance. The platform's AI EdgeLabs component extends protection to Edge/IoT critical infrastructure.

Features

Real-time ad fraud detection using unsupervised machine learning

Personalized machine learning models that adapt to evolving fraud patterns

Semi-supervised machine learning for enhanced accuracy in identifying fraudulent activities

Comprehensive knowledge database for deeper understanding of fraud crime rings

AI EdgeLabs for cybersecurity protection of Edge/IoT infrastructure

Target Audience

The primary target audience includes mobile marketers and user acquisition professionals seeking to protect their advertising budgets from fraudulent activities.

Want to add first party data to your startup here or get your entry removed? You can edit it yourself by logging in with your company domain.