Zebrium has raised $6.0M in total across 2 funding rounds.
Zebrium's investors include 468 Capital, Accel, Andreessen Horowitz, Angel Invest, Basis Set Ventures, Cedar, Dig Ventures, Mango Capital, Notable Capital, Ameet Patel, Dhruv Kaul, Greg Brockman.
Zebrium is a machine learning analytics company that builds an AI platform for automated root cause analysis (RCA) in troubleshooting software and infrastructure incidents. It serves SREs, DevOps engineers, and developers by detecting anomalies in logs and metrics, triaging issues, and integrating with observability tools like Datadog, New Relic, and PagerDuty to cut mean-time-to-resolve (MTTR) by up to 90% with over 95% accuracy.[1][2][4][5] The platform solves the problem of manual log hunting in complex, cloud-native environments by providing unsupervised ML-driven forensics without requiring training or rules, enabling rapid resolution for containerized and hybrid setups.[1][3][6]
Founded in 2015 in Santa Clara, California, Zebrium raised $7.31M before being acquired by ScienceLogic in October 2022, enhancing AIOps with real-time RCA for IT operations.[1][3][8]
Zebrium emerged in 2015 (with one source noting 2017 incorporation) from the need to automate tedious root cause hunting in software troubleshooting, led by CEO Ajay Singh, who highlighted the scalability limits of manual engineer efforts amid rising downtime costs.[1][2][3][8] The idea stemmed from observing how humans sift through logs for anomalies; Zebrium applied unsupervised machine learning to replicate and accelerate this, turning correlated patterns into actionable reports.[5][6]
Early traction built through integrations with monitoring tools and validations like a customer's test on 192 incidents achieving 95% RCA accuracy, culminating in the 2022 launch of Root Cause as a Service (RCaaS) and acquisition by ScienceLogic to combine ML analytics with enterprise AIOps.[2][3][4]
Zebrium rides the AIOps wave in observability, addressing exploding data volumes from cloud-native, containerized apps where traditional monitoring overwhelms teams with alerts but lacks automated diagnostics.[1][3] Timing aligns with surging downtime costs and Kubernetes adoption, where manual RCA scales poorly; its acquisition by ScienceLogic amplifies hybrid-cloud IT management, blending RCA with service context for end-to-end automation.[3]
Market forces like DevOps shifts and regulated industries' air-gapped needs favor its tool-agnostic, high-accuracy approach, influencing ecosystems by setting benchmarks for RCaaS and enabling faster remediation in competitive monitoring stacks.[2][4]
Post-acquisition, Zebrium's tech will likely expand within ScienceLogic's AIOps suite, rolling out to more product lines for broader enterprise adoption in ITOps/DevOps.[3][4] Trends like generative AI for observability and edge computing will shape it, potentially evolving RCA into predictive fixes amid rising cyber threats and multi-cloud complexity. Its influence may grow by standardizing autonomous troubleshooting, freeing engineers for innovation and solidifying AIOps leadership—echoing its origins in taming log chaos for resilient digital experiences.[2][3]
Zebrium has raised $6.0M across 2 funding rounds. Most recently, it raised $3.0M Venture Round in May 2019.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| May 1, 2019 | $3.0M Venture Round | 468 Capital, Accel, Andreessen Horowitz, Angel Invest, Basis Set Ventures, Cedar, Dig Ventures, Mango Capital, Notable Capital, Ameet Patel, Dhruv Kaul, Greg Brockman | |
| May 1, 2018 | $3.0M Seed | 468 Capital, Accel, Andreessen Horowitz, Angel Invest, Basis Set Ventures, Cedar, Dig Ventures, Mango Capital, Notable Capital, Ameet Patel, Dhruv Kaul, Greg Brockman |
