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Redcoat AI Raises $4.24 Million in Funding

Redcoat AI, a San Francisco, CA-based cybersecurity company specializing in combating AI-powered threats, has emerged from stealth mode with a significant backing of $4.24 million.

Ben Murray profile image
by Ben Murray
Redcoat AI Raises $4.24 Million in Funding

Redcoat AI, a San Francisco, CA-based cybersecurity company specializing in combating AI-powered threats, has emerged from stealth mode with a significant backing of $4.24 million.   

SaaS Investors 

This funding round was led by Pear VC, with notable participation from Leonis Capital, Sancus Ventures, Kyber Knight, and other prominent investors.   

Redcoat AI Use of Funds 

The company will use the funding injection primarily to fuel the further development of its innovative cybersecurity platform. Additionally, it will facilitate the expansion of the company's operational reach.  

About Redcoat 

Redcoat AI is a cybersecurity company that leverages the latest advancements in artificial intelligence to construct robust defenses against sophisticated cyber threats. Specializing in AI-native cybersecurity solutions within the technology sector, the company offers a security platform designed to protect against evolving cyber threats, including AI-powered social engineering attacks employing contextual information, deep fakes, and human-like interactions. Redcoat AI's platform offers a dual approach to cybersecurity: an on-demand red teaming service for social engineering attacks and mobile defense that provides comprehensive protection across SMS, WhatsApp, and other messaging platforms. 

Funding Details       

Company: Redcoat AI, Inc.  

Raised: $4.24M               

Round: Series A   

Funding Month: March 2024                       

Lead Investors: Pear VC   

Additional Investors: Leonis Capital, Sancus Ventures, Kyber Knight  

Company Website: https://www.redcoat.ai/   

Software Category: Cybersecurity  

Source: https://www.businesswire.com/news/home/20240313231559/en 

Ben Murray profile image
by Ben Murray

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