Bearer Closes $8 Million in Seed Round

by Kay Aloha Villamor in October 26th, 2022

Bearer, a San Francisco, CA-based data security software company, announced that it closed the second tranche of seed funding, bringing the total equity financing raised to date to $8 million.

Alven led the second tranche round with participation from Kima Ventures, Partech, and Point Nine.

“Our goal is to make data security pragmatic for developers and a natural, frictionless step in their usual software workflow while assuring companies and their security teams that their code is more secure than ever before,” said Guillaume Montard, co-founder and CEO of Bearer. “Our solution takes code quality to the next level. We pinpoint exact data security risks as opposed to tracing random potential security flaws.”

Bearer is a horizontal data security solution that has gained early traction in markets where privacy and data security are critical to its customers who must meet the strictest government regulations and compliance requirements, such as healthcare, eCommerce, and financial services.

The Bearer data security SaaS solution features three major innovations: identification of data security risks (including business logic flaws, frictionless deployment, and extreme automation).

Company: Bearer Inc.

Raised: $8.0M

Round: Seed Round second tranche

Funding Month: October 2022

Lead Investors: Alven

Additional Investors:  Kima Ventures, Partech, and Point Nine

Company Website:

Software Category: Data Security Software

About the Company: Bearer is a data security software company that pioneered a solution for developers to automatically detect sensitive data flow and data security risks while coding. Its policy engine proactively monitors data security policies before releasing code. Its unique remediation workflow prioritizes the most critical issues – including business logic flaws – for quick resolution between security and engineering teams. Bearer’s solution is built around the most popular and powerful open-source code analysis engines combined with proprietary heuristics to detect sensitive data flow and security risks. 


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