San Francisco-based Greptile has raised $50 million in Series B funding led by Menlo Ventures at a $750 million valuation, betting that the rapid expansion of AI-generated code will create growing demand for automated software verification.
The financing included participation from Jump Trading, Wing, Operator Collective, Benchmark, Y Combinator, Browder Capital and Initialized Capital. Menlo investor Deedy Das is joining the company's board.
Founded in 2023 by Daksh Gupta, Soohoon Choi and Vaishant Kameswaran, Greptile began as a project at a San Francisco hackathon. The founders secured their first paying customers within a week and subsequently joined Y Combinator's Winter 2024 batch.
The company raised $4.1 million in seed funding in June 2024 and a $25 million Series A in September 2025, bringing its publicly announced funding to approximately $79.1 million.
Its original technology focused on understanding large software repositories through codebase-aware retrieval. The company eventually concentrated that capability on reviewing code changes before they are merged into production systems.
Greptile now positions itself as an independent validation layer for software developed by both human engineers and AI coding agents.
Its product analyzes pull requests, examines how changes interact with the broader codebase, identifies potential bugs and checks compliance with organization-specific engineering standards. It can also incorporate context from tools such as Jira and Notion and learn coding preferences from previous human review comments.
The company says it reviews and tests more than 1% of all pull requests opened on GitHub each day and serves thousands of engineering teams. Customers include Nvidia, Coinbase, Decagon and Vanta.
Greptile has also introduced more intensive review options, including Plus and Apex, which allocate additional computational resources to investigate complicated changes. These higher-tier reviews use parallel AI agents to examine potential failures beyond the immediately modified code.
The underlying market shift is that AI coding assistants can dramatically increase the amount of software written, but producing more code does not automatically mean companies can safely deploy it faster.
Human engineers still need to understand whether changes introduce security vulnerabilities, create regressions or violate assumptions elsewhere in the system. As the volume of generated code increases, code review and testing risk becoming the bottleneck.
Greptile is betting that companies will use multiple coding agents to generate software while relying on a separate system to evaluate their output.
Its longer-term ambition extends beyond suggesting fixes. The company wants to automate enough of the verification process that engineering teams can confidently merge complex changes with progressively less manual review.
Competition is substantial. GitHub, established development platforms, frontier AI laboratories and specialized startups are all expanding their code review and testing capabilities.
Greptile's opportunity depends on maintaining independence and demonstrating superior reliability as code generation becomes increasingly automated. False positives can slow engineering teams, while missed critical bugs undermine the value of the product.
Its reported GitHub coverage demonstrates substantial usage, but the company has not disclosed revenue figures alongside the new valuation. The next commercial test will be converting widespread adoption into durable enterprise spending while proving that its reviews prevent consequential production failures.