Bigeye
Automated data quality monitoring for pipelines
About
Founded in 2019 by former Uber data engineers Kyle Kirwan and Egor Gryaznov, Bigeye is headquartered in San Francisco. The platform provides automated, always-on monitoring for data freshness, accuracy, and anomalies across every table in a pipeline, using ML-powered threshold detection that requires minimal manual configuration. Data and ML engineering teams at Instacart, Udacity, Freedom Mortgage, USAA, and others rely on Bigeye for proactive root-cause analysis before bad data reaches analysts or models. Bigeye has raised $71M with backing from Sequoia Capital, Costanoa Ventures, and Alteryx Ventures.
Products
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AI Trust Platform
— Platform to improve data quality, identify sensitive data, meet risk and policy requirements, and confidently scale AI initiatives.
Customer sectors: enterprise data teams, AI leaders, compliance officers
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Metadata Management
— Catalog data, trace lineage, and capture metadata like tags, owners, and data domains for better data governance.
Customer sectors: data engineers, data architects, data governance teams
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Data Lineage
— Provide end-to-end data lineage across modern and legacy data stacks to ensure data traceability and reliability.
Customer sectors: data engineers, data analysts, compliance teams
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Data Observability
— Monitor data pipelines with lineage-enabled observability to quickly identify, triage, and resolve data incidents.
Customer sectors: data engineers, data analysts, data quality managers
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Data Sensitivity
— Automatically detect and manage sensitive data such as PII, PHI, and PCI to reduce regulatory risk and accelerate AI safely.
Customer sectors: security teams, privacy officers, compliance officers
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for Bigeye — available to members.
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