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§ Private Profile · San Francisco, CA, USA
A data observability platform that monitors data health and prevents outages for enterprise data teams using ML-driven anomaly detection.
Bigeye has raised $66.0M across 3 funding rounds.
Key people at Bigeye.
Bigeye was founded in 2019 by Kyle Kirwan (Founder) and Egor Gryaznov (Founder).
Bigeye has raised $66.0M in total across 3 funding rounds.
Based in San Francisco, California, Bigeye develops a data observability platform that helps enterprise teams monitor data pipelines and detect anomalies using machine learning. The company operates on a B2B software subscription model, providing automated instrumentation and end-to-end lineage tracking to prevent data outages across complex corporate environments. By scanning for sensitive information and evaluating data freshness, the platform ensures underlying data reliability for large-scale artificial intelligence initiatives. The software provider operates with approximately 44 to 58 employees across two offices and has secured $66 million in total venture funding, including a $45 million Series B round. Bigeye is backed by venture capital firms Sequoia Capital and Coatue, while serving corporate customers such as Zoom, Instacart, and Udacity. The company was founded in 2019 by former Uber data team members Kyle Kirwan and Egor Gryaznov.
Bigeye is a leading data quality engineering and observability platform designed to help organizations monitor, detect, and resolve data issues faster and more efficiently. It combines automatic instrumentation, AI-driven anomaly detection, and extensive customization to provide proactive monitoring of data pipelines across legacy, cloud, and hybrid environments. Bigeye serves data engineers, data teams, and enterprises that rely on accurate, trustworthy data for analytics and business intelligence, solving problems related to data pipeline failures, data anomalies, and slow issue resolution. Its platform improves data reliability and governance, enabling businesses to trust their data and reduce downtime caused by data quality issues[1][3][7].
Bigeye was founded by Kyle and his co-founder, who met while working at Uber on experimentation analytics tools. Their experience exposed them to common challenges faced by full-stack data teams, such as the disconnect between data scientists wanting results and data engineers managing pipelines. This inspired them to build a platform that goes beyond traditional rule-based data quality checks by leveraging metrics collection and machine learning anomaly detection, similar to application performance monitoring tools like Datadog and New Relic. This approach allows Bigeye to detect unknown data issues and provide actionable alerts, accelerating root cause analysis and resolution[5].
Bigeye rides the growing trend of data observability and quality engineering, which is becoming critical as organizations increasingly rely on complex data pipelines and diverse data environments. The timing is crucial due to the explosion of data volume and the shift to cloud and hybrid architectures, which complicate data reliability. Market forces such as the need for real-time analytics, regulatory compliance, and data governance drive demand for automated, scalable data quality solutions. Bigeye influences the ecosystem by enabling data teams to maintain trust in their data products, reduce downtime, and improve operational efficiency, thus accelerating data-driven decision-making across industries[1][2][4].
Bigeye is positioned to expand its influence as data quality becomes a strategic priority for enterprises. Future trends shaping its journey include increased adoption of AI and machine learning for predictive data quality, deeper integration with data catalogs and governance tools, and enhanced automation to reduce manual intervention. As organizations scale their data operations, Bigeye’s ability to provide comprehensive, lineage-aware observability will be critical. Its continued focus on developer experience and enterprise readiness suggests it will remain a key player in the data observability market, helping businesses trust their data and innovate faster[2][3][5].
Key people at Bigeye.
Bigeye has raised $66.0M across 3 funding rounds. Most recently, it raised $45.0M Series B in September 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Sep 1, 2021 | $45M Series B | Coatue | .406 Ventures, Accel, Benchmark, Generation Ventures, Insight Partners, Sequoia Capital, Zetta Venture Partners, Rudra Peram, Costanoa Ventures | Announced |
| Apr 1, 2021 | $17M Series A | Sequoia Capital | 01 Advisors, .406 Ventures, Afore Capital, Alumni Ventures, Backend Capital, Basecamp Fund, Flucas Ventures, Generation Ventures, Gradient Ventures, Infinite Niches, Insight Partners, Moxxie Ventures, Prototype Capital, Scribble Ventures, Shrug Capital, SignalFire, Sound Ventures, SV Angel, Tusk Venture Partners, Weekend Fund, Zetta Venture Partners, Alper Kiresepi, Anna Patterson, Howard Charney, Kevin Weil, Moshe Lifschitz, Peter Hunn, Tyler Willis, Yagiz Sozmen, Zach Segal, Costanoa Ventures | Announced |
| May 1, 2020 | $4M Seed | — | Accel, Coatue, Sequoia Capital, Rudra Peram | Announced |
Bigeye was founded in 2019 by Kyle Kirwan (Founder) and Egor Gryaznov (Founder).
Bigeye has raised $66.0M in total across 3 funding rounds.
Bigeye's investors include Coatue, .406 Ventures, Accel, Benchmark, Generation Ventures, Insight Partners, Sequoia Capital, Zetta Venture Partners, Rudra Peram, Costanoa Ventures, 01 Advisors, Afore Capital.