CompaniesInvestorsPeople
Home
Loading

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

Get in Touch

  • Contact

  • Request a Demo

  • Request Data Updates

  • Add a Company

Research

  • Companies

  • Investors

  • People

aVenture

  • Download App

  • Pricing

Download the aVenture Research beta for iOS and iPadOSDownload aVenture Research on the Mac App Store

Resources

  • Documentation

  • Use Cases

  • CLI

  • MCP

  • Feature Requests

  • Sitemap

Member

Backed by

Ask AI about aVenture

© aVenture Investment Company, 2026. All rights reserved.

San Francisco, CA, USA

Privacy · Terms of Service

aVenture Investment Company ("aVenture") is an independent research platform providing detailed analysis and data on startups, venture capital investments, and key industry individuals. It is not a registered investment adviser, broker-dealer, or investment advisor and does not provide investment advice or recommendations. The data provided by aVenture does not constitute recommendations or advice, whether by methodology, analysis, AI-generated content, or a statement written by a staff member of aVenture.

aVenture is not affiliated with any of the people, companies, organizations, government agencies, regulatory bodies, or investment funds we provide coverage for on this site unless explicitly stated otherwise. Users assume full responsibility for decisions made based on information obtained from this platform. Links to external websites do not imply endorsement or affiliation with aVenture. Any links that provide the ability to invest in a primary or secondary transaction in a company are for convenience only and do not constitute solicitations or offers to buy or sell an investment. Investors should exercise heightened precaution and due diligence when investing in private companies, especially those not independently audited.

While we strive to provide valuable insights with objectivity and professional diligence, we cannot guarantee the accuracy of the information provided on our platform. Before making any investment decisions, you should verify the accuracy of all pertinent details for your decision. To the fullest extent permitted by law, aVenture shall not be liable for any direct, indirect, incidental, consequential, or financial damages arising from use of this site, whether by consumers of its contents directly or by persons or organizations covered by our research, even if we are advised of the possibility. Our best-efforts processes and correction request forms do not create a warranty or duty of care.

Profiles on this platform may include content generated in part by large language models (LLMs, artificial intelligence) that aggregate publicly available sources (e.g., SEC EDGAR, public filings, press releases). Source attribution is provided where known; always verify statements and claims here against original sources before relying on any data. Content on our site may contain inaccuracies, omissions, or what are commonly called 'hallucinations' if generated in part or in full by AI / LLMs. The risk can also exist even when content is written by a human, as internal and third-party sources may also have inaccuracies for the same or different reasons. While we randomly audit a proportion of content, this is not exhaustive.

We recommend that an independent auditor be hired to verify the accuracy of the information before relying on it for any sensitive decisions. By accessing this platform, you agree not to rely solely on any information generated by AI, aggregated, or sourced or written otherwise on this site, for investment, financial, or other decisions. aVenture assumes no responsibility for inaccuracies, omissions, or hallucinations. You must independently verify all data from primary sources. Use of this platform constitutes your waiver of claims for reliance-based damages, including negligent misrepresentation. To report an error, request a correction, or dispute information about a company or individual, contact us via our request data updates form.

Loading
Loading
Home
News
Greptile raises $4M to build an AI-fueled code base expert

From TechCrunch

By Ron Miller

June 6, 2024

Greptile raises $4M to build an AI-fueled code base expert

Greptile raises $4M to build an AI-fueled code base expert

When you look at how generative AI is being implemented across developer tools, the focus for the most part has been on generating code, as with Github Copilot. Greptile, an early stage startup from a group of recent Georgia Tech grads, decided to take a different approach: using AI to help developers understand the code base.

And rather than solely using a chat interface, as most vendors have done, the startup provided another unique twist by building an API that developers could connect to the code base and build custom apps based on an AI-driven query. On Thursday, the company announced a $4 million seed round.

Greptile CEO and co-founder Daksh Gupta says the Greptile bot is like having a highly experienced coworker who has a deep understanding of your code. “So we’re building AI tools that understand large code bases at companies because as time goes on, and multiple programmers work on the codebase, it tends to get very difficult to understand,” Gupta told TechCrunch.

“The API has essentially two parameters: One is you connect the repositories that you want referenced, and it makes sure they’re indexed. Once the repositories have been indexed by the system, you add a natural language query such as, how does the authentication work in this code base,” he said.

The startup launched last July after the founders came up with the idea for the company at a hackathon. They released the product, quickly grew to around 100 customers paying $10-$20 a month and applied and got into Y Combinator for the Winter 24 batch.

But even prior to founding Greptile, while still in college, the founders created an enterprise feedback management chatbot and raised enough money to move to San Francisco, where they quickly learned there was a big gap in their knowledge when it came to founding a company.

“First we made the canonical mistake of focusing on attracting investors instead of actual customer needs, building things that were plausibly good startup ideas instead of looking for real problems that real people had and solving them with technology. We did all those things. And we learned the hard way we shouldn’t do that,” he said.

As they shifted their focus and got more serious, the pieces began to fall into place. “No one told us that what you’re doing is the purest form of capitalism. You’re creating value for people, so much so that they’re happy to pay you for the value you’re creating for them.”

Y Combinator drove home those lessons about being customer centric. Today, they have 500 paying customers including individuals, teams and organizations.

As the company grows, the founders have bigger goals. “We want to provide software teams with the building blocks that they need to build custom, bespoke AI developer tools that are specific to how their system is set up,” Gupta said.

Today’s round was led by Initialized Capital with participation from various prominent industry angels.

Most Recent

Khosla Ventures doubles down on Even Healthcare to challenge India’s hospital economics

Even Healthcare reaches a $300 million valuation in a Khosla Ventures-led round as it plans to expand its hospital network in India.

Oct 19, 2026

Disney agrees to hire the majority of Character.AI’s workforce

After chatbot startup Character.AI filed for bankruptcy earlier this week, many of its employees will have the opportunity to take jobs at Disney.

Oct 18, 2026

Elorian’s first AI model wants to reason with images, not just about them

According to Elorian's evaluations, Glimpse outperforms even GPT-6 Astra on scientific chart reasoning and short-form video captioning, with competitive results on other visual reasoning tasks.

Oct 16, 2026

Tressfecta wants to make hair braiding a less arduous task for hairstylists

Tressfecta builds products for textured hair. Its first project is a tool called Plait Pilot that helps braiders with the initial process of separating hair from packs before braiding begins.

Oct 16, 2026

Similar Posts

CodeRabbit raises $16M to bring AI to code reviews

Code reviews — peer reviews of code that help devs improve code quality — are time-consuming. According to one source, 50% of companies spend two to five hours a week on them. Without enough people, code reviews can be overwhelming and take devs away from other important work. Harjot Gill thinks that code reviews can be largely automated using artificial intelligence. He’s the co-founder and CEO of CodeRabbit, which analyzes code using AI models to provide feedback. Prior to starting CodeRabbit

Aug 15, 2024

Qodo raises $40M Series A to bring quality-first code generation and testing to the enterprise

At first glance, Qodo, the startup previously known as CodiumAI, may appear to be yet another AI code generation tool. But the team, which is announcing a $40 million Series A round led by Susa Ventures and Square Peg today, is just as much focused on generating code as on generating the tests and code quality in general. The service launched out of stealth 18 months ago and so far, the company says, over 1 million developers have tried its solutions and a number of Fortune 100 companies have a

Sep 30, 2024

AI coding assistants can help startups develop products, seed VCs believe

By now, there’s hardly a coder in the world who isn’t using an AI copilot in some way. But using GitHub Copilot or Cursor.AI to ask technical questions and get debugging help could be just the beginning. AI coding may one day involve agents that can write the programs themselves based on a natural language prompt. Such programs may even replace human engineers. AI coding startups that can generate code from a natural language prompt include Replit and Bubble, among many others. Eventually, some

Nov 6, 2024

CodeSee adds generative AI to explore code bases with natural language queries

CodeSee was founded in 2019 with the goal of helping programmers understand the entire code base inside a company. The idea was to provide visual maps, so you could see the connections between services and systems and how changes might affect the different links. Today, the company announced it was adding a generative AI capability […]

Jul 19, 2023