Big Panda

Market position

Positioned as a leader in the AIOps event correlation and automation category; at the time of its 2022 Series D it was valued at $1.2 billion. Reviewers cite alert and event consolidation, ease of integration and a user-friendly interface as strengths, and limited customization, occasional bugs, limited advanced API functionality and complex configuration as weaknesses.

The company emphasizes transparent, testable machine learning rather than opaque models, tolerance for imperfect input data, a unified IT knowledge graph capturing organizational tribal knowledge, broad integrations with existing monitoring and ITSM tooling, and rapid deployment (a stated 8-12 week time to live) producing incremental wins.

Technology

Machine learning models applied to alert, change and topology data for event correlation, detection and root cause analysis, described by the company as "Open Box Machine Learning" intended to give customers transparency, testability and control. More recent positioning centers on agentic AI: autonomous agents handling repetitive L1 work and escalations, an AI incident assistant, and an IT knowledge graph that supplies context for AI reasoning rather than rule-following. The company states the platform is designed to work with incomplete or messy operational data and improves data quality as a byproduct of use.

Go-to-market

Direct enterprise sales supported by demo requests, content marketing (white papers, e-books, webinars, benchmark reports, analyst reports), a partner program and integrations with platforms such as ServiceNow. As of the January 2022 Series D, the go-to-market motion was concentrated in North America, with an existing London office and plans to expand internationally and to target mid-market customers; funding was also earmarked for building out sales, marketing, customer success and partnership teams.

Large enterprise IT organizations, including Fortune 1000 companies, across financial services, insurance, manufacturing, retail, airlines, media and entertainment, and managed service providers. Buyer personas include IT operations, incident management, IT service management and site reliability engineering teams; the platform supports small, medium and large organizations.

Geography

Headquartered in the San Francisco Bay Area with an office in London; go-to-market activity concentrated in North America as of January 2022, with international expansion planned. The website is offered in English and German.

History

The company was founded by Assaf Resnick and Elik Eizenberg and emerged from stealth in 2014. In January 2022 it raised a $190 million Series D led by Advent International with Insight Partners and existing investors at a $1.2 billion valuation, bringing reported total funding to $317 million; Advent partner Eric Noeth joined the board and former SAP president and VMware COO Sanjay Poonen joined as a strategic advisor. In August 2022 a Series E extension was reported, bringing total capital to $340 million, and in March 2023 the company launched new data engineering capabilities. The product line has since been repositioned from AIOps toward an agentic ITOps platform.

Risks & controversies

User reviews cite limited customization options, occasional bugs, lack of advanced API functionality and a complex configuration process. The company also publishes a career scam disclaimer warning about fraudulent recruiting activity using its name.