Funding Round

Greptile Secures $25M to Scale AI Code Validation Amidst Industry Bottleneck

By StartupHub.ai Staff, Editorial team

2 min read

Greptile Secures $25M to Scale AI Code Validation Amidst Industry Bottleneck

Greptile, (officially Tabnam), has secured $25 million in a Series A funding round, led by Benchmark Capital. The startup aims to propel its AI-driven code validation platform, addressing a critical bottleneck in modern software development.

Existing investors Y Combinator, Initialized Capital, and angel investor Cory Levy also participated.

Greptile posits that more AI is essential to manage this AI-powered acceleration. Therefore, it has developed an independent code validation layer that operates across repositories and developer platforms, automating error and bug detection.

Greptile’s AI code review agent constantly analyzes designated GitHub repositories, and it checks every new update to ensure code functionality and enforce company standards. If bugs or vulnerabilities are found, it alerts human developers. Moreover, it suggests fixes implementable with a single click.

In the past month, the agent reviewed over 500 million lines of code. Companies like Substack, Brex Inc., PostHog Inc., Bilt Payments LLC, and Y Combinator’s internal team utilize it. During this period, it surfaced over 180,000 bugs, preventing them from reaching production.

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Additionally, Greptile introduced the MCP Server. Based on the open-source Model Context Protocol, this server facilitates inter-agent communication. It allows coding agents like Devin and Cursor, plus integrated development platforms, to access Greptile’s feedback and organizational rules.

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TopicsAIAI AgentsBenchmark CapitalFundingSeries ASoftware DevelopmentTabnamY Combinator

StartupHub.ai Staff

Written by

StartupHub.ai Staff

Editorial team

The staff writers of StartupHub.ai, ranging from investment analysts to avid AI tool users, early adopters and critical enthusiasts. Backgrounds span engineering, business and the arts. We hold every piece to rigorous standards of research and review.

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