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Founded Year



Series D | Alive

Total Raised




Last Raised

$125M | 2 yrs ago



About Sourcegraph

Sourcegraph offers a Code artificial intelligence (AI) platform operating in the technology industry. The company offers services such as code search and analysis, and an AI coding assistant named Cody, which helps developers understand, write, and fix code in large and complex codebases. Sourcegraph primarily serves the software development industry. It was founded in 2013 and is based in San Francisco, California.

Headquarters Location

548 Market Street

San Francisco, California, 94104,

United States


ESPs containing Sourcegraph

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Enterprise Tech / Development

The build automation tools market is focused on providing solutions and tools for automating the software development process, from source code management to deployment. These tools help organizations to streamline their software development workflow, reduce errors, and improve efficiency. Build automation tools typically include features such as continuous integration (CI), automated testing, and…

Sourcegraph named as Highflier among 11 other companies, including CloudBees, Harness, and CircleCI.


Research containing Sourcegraph

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Sourcegraph in 1 CB Insights research brief, most recently on Apr 17, 2023.

Expert Collections containing Sourcegraph

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Sourcegraph is included in 1 Expert Collection, including Unicorns- Billion Dollar Startups.


Unicorns- Billion Dollar Startups

1,214 items

Sourcegraph Patents

Sourcegraph has filed 1 patent.

patents chart

Application Date

Grant Date


Related Topics




Software project management, Free software project foundations, Software design patterns, Software design, Software engineering


Application Date


Grant Date



Related Topics

Software project management, Free software project foundations, Software design patterns, Software design, Software engineering



Latest Sourcegraph News

Embedded AI: The Questions Every CEO is Asking | a16z Podcast #bigIdeas

Nov 7, 2023

| a16z Podcast This discussion brings together leaders from Hex, Sourcegraph, and Cresta, three pioneering companies in the AI space, to explore the challenges and opportunities associated with integrating AI into existing products. The conversation delves into the transformative potential of AI in enhancing customer service, the importance of data privacy, and the need for cost management among others. Navigating AI Integration Challenges AI integration presents challenges, including the technology’s lack of contextual understanding, which can lead to frustrating customer experiences. To address this, AI needs to interface in a more dynamic way, understanding a broader context. This highlights the importance of data quality and relevance in improving AI model performance. AI’s Role in Data Science and Analytics AI tools can make data analysis and visualization easier and more efficient. Hex, a platform for collaborative data science and analytics, integrates AI to generate and edit code. This approach reduces the complexity of data analysis, enabling more people to leverage the power of data in decision-making. Maintaining Transparency and Trust in AI As AI becomes more advanced and human-like, it is crucial for companies to maintain transparency and trust with their customers. Companies should disclose when a bot is being used and ensure that customer data privacy is protected. This is particularly important as AI’s ability to parse through large amounts of unstructured data can inform business strategies. Harnessing Proprietary Data Sets Proprietary data sets, unique and large in scale, can train foundation models to perform tasks not possible with just web pages. This approach can give companies a competitive advantage, but it also raises privacy concerns. Companies need to be careful about how they collect and store data, and be upfront with customers about how their data is used. The Importance of Customization and UI Design Customization and thoughtful user interface (UI) design play a critical role in AI integration. Companies can use information from past user behavior to create better prompts and parse responses back from the model APIs. A well-designed UI that guides the user and provides feedback can increase completion rates and ensure that AI tools enhance, rather than hinder, the user’s workflow. Differentiation in the AI Market Differentiation in the AI market goes beyond just hooking into one API. It involves thoughtful consideration of how different models will respond to various types of prompts and context. The competitive advantage, or ‘the moat’, lies not in the UI or the data, but in the experience and how the product is put together. Leveraging the First Mover Advantage Companies that can effectively integrate AI into their products first will have an advantage, similar to how social apps benefit from network effects. Customization can help maintain this advantage, as AI tools personalized based on past user behavior can provide a better user experience. Offering Customers a Choice of AI Model Giving customers the option to choose the AI model they want to use can be beneficial. Some companies have negotiated separate deals with model providers, some have in-house models they want to use, and some want something they can self-host. This approach is about doing what’s best for the customer. Managing AI Model Costs The cost of different AI models can impact both the company integrating the AI and their customers. Making the language model aspect of the AI as pluggable as possible can help manage these costs. Understanding the Complexity of AI Incorporation Incorporating AI into a product involves not just obtaining an API key but also crafting the right context to pass through the model, iterating through the process, and finding the right level of context to pass. This complex process requires a deep understanding of AI and its capabilities.

Sourcegraph Frequently Asked Questions (FAQ)

  • When was Sourcegraph founded?

    Sourcegraph was founded in 2013.

  • Where is Sourcegraph's headquarters?

    Sourcegraph's headquarters is located at 548 Market Street, San Francisco.

  • What is Sourcegraph's latest funding round?

    Sourcegraph's latest funding round is Series D.

  • How much did Sourcegraph raise?

    Sourcegraph raised a total of $223M.

  • Who are the investors of Sourcegraph?

    Investors of Sourcegraph include Andreessen Horowitz, Insight Partners, Geodesic Capital, Sequoia Capital, Felicis and 6 more.

  • Who are Sourcegraph's competitors?

    Competitors of Sourcegraph include BluBracket and 1 more.


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