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How Much Did BigPanda Raise? Headquarters, Funding & Key Investors

BigPanda has raised a total of $340 million, including a $190 million Series D round in January 2022 led by Advent International and Insight Partners, valuing it at $1.2 billion. Founded in 2012 and based in Redwood City, California, BigPanda helps enterprises automate IT operations and incident management through AI-driven analytics. With 155 employees as of December 2022, the company continues to lead innovation in the AIOps and IT infrastructure monitoring space, improving reliability and operational efficiency for global organizations.

    BigPanda joined the Unicorn Club on January 12, 2022, after raising a $190 million Series D funding round led by Advent International and Insight Partners, valuing the company at $1.2 billion. The Redwood City, California-based company delivers cloud-based IT operations and infrastructure monitoring software that uses data analytics and automation to streamline incident management for large enterprises. With a total of $340 million raised to date and a workforce of 155 employees as of December 2022, BigPanda continues to drive innovation in AIOps and IT observability.

    Keep reading to explore BigPanda’s funding journey, key investors, and what’s next for this IT operations automation leader.

    What Is BigPanda and What Does It Do?

    Founded in 2012, BigPanda provides a cloud-based incident intelligence and automation platform that enables IT operations (ITOps) teams to detect, analyze, and resolve issues more quickly. The platform ingests data from monitoring, change, and topology tools—then uses machine learning algorithms to correlate alerts, identify root causes, and automate incident response workflows.

    BigPanda’s solutions empower organizations to manage the increasing complexity of hybrid cloud environments by consolidating alerts and offering unified observability. The platform also provides performance analytics and collaboration tools that help IT teams prevent downtime, optimize operational performance, and improve service reliability across large-scale infrastructures.

    Its customer base spans industries such as finance, telecommunications, e-commerce, and enterprise IT, where uptime and reliability are mission-critical.

    How Much Funding Has BigPanda Raised?

    1. Series D
      • Amount Raised: $190M
      • Date: January 12, 2022
      • Lead Investors: Advent International, Insight Partners
      • Motivation: To scale product innovation, accelerate go-to-market expansion, and enhance AI-driven automation capabilities.
    2. Series E
      • Amount Raised: $20M
      • Date: August 17, 2022
      • Motivation: To strengthen partnerships and advance AIOps integration with cloud and monitoring platforms.

    Total Funding Raised: $340M

    Latest Funding Date: August 17, 2022

    Current Valuation: $1.2B

    Key Investors

    1. Glynn Capital
      • Details: Growth-stage investment firm focusing on enterprise software and digital infrastructure companies.
      • Investment Focus Areas: SaaS, cloud infrastructure, and IT automation.
    2. Akkadian Ventures
      • Details: Investor specializing in growth-stage SaaS companies and enterprise solutions.
      • Investment Focus Areas: Cloud software, analytics, and B2B SaaS technologies.

    Where Is BigPanda’s Headquarters?

    BigPanda is headquartered in Redwood City, California, United States, a major hub for enterprise software innovation and cloud technology. The company’s Silicon Valley location provides access to world-class engineering talent and proximity to leading cloud infrastructure partners and investors.

    What’s Next for BigPanda?

    After achieving a $1.2 billion valuation and expanding its total funding to $340 million, BigPanda is focusing on scaling its AIOps automation platform and expanding its customer base across North America and Europe. The company aims to enhance its real-time incident correlation, predictive analytics, and AI-assisted resolution capabilities to meet the growing demand of enterprises for cloud observability solutions.

    Future goals include integrating with DevOps toolchains, extending API-based automation workflows, and introducing deeper insights through generative AI to support proactive IT operations management.

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