Bigeye
Bigeye is a San Francisco-based AI trust platform built on data observability, helping enterprises monitor data quality, classify sensitive data, and enforce runtime AI governance. Founded in 2019 by former Uber engineers, it serves Fortune-class organizations across financial services, healthcare, and technology.
- Company typePrivate
- Founded2019
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Bigeye does
Bigeye is a San Francisco-based enterprise software company that provides a data observability and AI trust platform for large organizations. The company was founded in 2019 by Kyle Kirwan and Egor Gryaznov, both former members of Uber's data and experimentation platform teams, and is led by CEO Eleanor Treharne-Jones (joined from Kensu and Odaseva). The platform combines lineage-enabled data observability with sensitive data classification, governance, and runtime AI policy enforcement, targeting Fortune-class enterprises in financial services, healthcare, technology, and other regulated verticals (named customers include USAA, Freedom Mortgage, Cisco, Zoom, Centene, Blue Cross Blue Shield, Canva, Mozilla, Williams Sonoma, Burberry, and others).
The product architecture is built around the Bigeye AI Trust Platform, which comprises six integrated modules — Metadata Management, Data Lineage, Data Observability, Data Sensitivity, Data Governance, and AI Guardian — with a newly launched Agent Trust Hub that extends the platform into agentic AI governance. Underlying technology includes bigAI for ML-driven anomaly detection on daily data profiles, Dependency Driven Monitoring that automatically deploys data quality checks based on dependency analysis, column-level lineage across modern and legacy data stacks, Monitoring-as-Code (bigconfig) for programmatic configuration, and a public API with webhooks. Data lineage technology was acquired via the June 2023 acquisition of Data Advantage Group. Infrastructure runs on Snowflake and AWS as disclosed subprocessors, with integrations spanning dozens of warehouses, ETL tools, BI platforms, identity providers, and AI systems including Microsoft Copilot and Salesforce Agentforce.
Bigeye generates revenue primarily through enterprise SaaS subscriptions sold via a 'Get a demo' sales motion, supplemented by professional services for implementation and configuration. Pricing is quote-based and not publicly disclosed, with a 30-day free trial of Agent Trust Hub introduced as a product-led growth entry point. The company has raised $73.5 million in disclosed funding across seed, Series A1, Series A2, Series B (Coatue-led, September 2021), and a $5M strategic investment from USAA (October 2024). Operations are headquartered in San Francisco with 11-50 employees, and the platform maintains 99.99% uptime per its public status page.
Bigeye firmographics
Firmographics- Name
- Bigeye
- Legal name
- ToroDataLabs, Inc.
- Website
- https://bigeye.com
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Bigeye is a San Francisco-based AI trust platform built on data observability, helping enterprises monitor data quality, classify sensitive data, and enforce runtime AI governance. Founded in 2019 by former Uber engineers, it serves Fortune-class organizations across financial services, healthcare, and technology.
- Ownership category
- akta.pro rank
Where Bigeye is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Bigeye business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- SaaS Subscription: Primary revenue from subscription-based access to the Bigeye AI Trust Platform (data observability, lineage, sensitivity, governance, AI Guardian modules) delivered as multi-tenant SaaS, with quotes handled via 'Get a demo' enterprise sales motion. Also available as On Prem Product for select customers.
- Professional Services: Pro Services offerings supporting implementation, configuration, and ongoing optimization for enterprise customers, referenced under the platform's Solutions menu.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | — | Quote-based enterprise pricing for AI Trust Platform modules |
| Freemium | — | Agent Trust Hub free trial |
Go-to-market motion4 records
Distribution channels5 records
Marketing channels9 records
Bigeye product offering
Product offeringCore offering
Bigeye provides an enterprise AI Trust platform built on lineage-enabled data observability, combining metadata management, column-level data lineage, AI-driven anomaly detection, sensitive data classification, data governance, and runtime AI policy enforcement (AI Guardian). The platform is delivered as multi-tenant SaaS with optional on-premises deployment, and is sold primarily to enterprise data teams at large global organizations (e.g., USAA, Cisco, Zoom, Freedom Mortgage). A complementary Agent Trust Hub, launched in 2026, connects AI agent activity to data quality, classification, governance, policy, usage, and cost signals across Snowflake, Databricks, Microsoft Copilot, and Salesforce Agentforce.
Product overview
Bigeye's offering is a platform-plus-modules architecture built around the Bigeye AI Trust Platform (also branded the Enterprise AI Trust Platform), positioned as the first enterprise AI Trust platform built on lineage-enabled data observability. The platform is composed of six core modules — Metadata Management, Data Lineage, Data Observability, Data Sensitivity (Sensitive Data Scanning), Data Governance, and AI Guardian — which together supply reliability, sensitivity, governance, and AI access signals. Building on this foundation, the newly launched Agent Trust Hub connects AI agent activity to trust signals across tools like Snowflake, Databricks, Microsoft Copilot, and Salesforce Agentforce. Supporting features include the bigAI engine for AI-driven data quality, Monitoring as Code (bigconfig) for programmatic configuration, and a public API with developer tools. Acquired lineage technology from Data Advantage Group (June 2023) is integrated into the Data Lineage module. Bigeye also offers Professional Services to support enterprise deployments.
Differentiator
Problem solved
Functional benefit
Products and services
- Bigeye AI Trust Platform Bigeye's flagship Enterprise AI Trust platform, positioned as the first enterprise AI Trust platform built on lineage-enabled data observability. Empowers organizations to improve data quality, identify sensitive data, meet data risk and policy requirements, and scale AI initiatives responsibly. Includes Metadata Management, Data Lineage, Data Observability, Data Sensitivity, Data Governance, and AI Guardian modules. Delivered as multi-tenant SaaS with optional on-premises deployment.
- Agent Trust Hub New platform allowing enterprises to understand, manage, and improve trust in AI agents acting on business data. Connects agent activity to data quality, classification, governance, policy, usage, and cost signals across Snowflake, Databricks, Microsoft Copilot, and Salesforce Agentforce. Available with a 30-day free trial for teams using supported agentic sources (Snowflake or Claude Code).
- Professional Services Bigeye's professional services offering supporting enterprise deployment, including implementation support for monitoring, lineage, and governance use cases.
Quantifiable outcome
- 66% reduction in data issue detection times (from 3+ days to under 24 hours) at Udacity
- +5 more outcomes
Companies that use Bigeye
Customer profileNamed customers20 records
Segments9 records
Ideal customer profiles3 records
Bigeye technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration37 records
AI capability10 records
Feature10 records
Bigeye partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered flagship ecosystem partner, acquisition / core technology, major integration, core infrastructure and operational vendor.
- Snowflakeflagship ecosystem partnerBigeye joined the Open Semantic Interchange (OSI), a Snowflake-led initiative to develop a universal vendor-neutral standard for semantic data interoperability. Bigeye's participation adds visibility into data quality, lineage, and governance to the semantic models. Snowflake is also a disclosed subprocessor for data warehousing and analytics (US).
- Data Advantage Group, Inc.acquisition / core technologyAcquired by Bigeye in June 2023 to integrate Data Advantage Group's data lineage capabilities, enabling automatic mapping of data pipelines and a more sophisticated view of data pipelines for Bigeye's enterprise customers.
- Microsoft Copilotmajor integrationNamed as a supported agentic source in Bigeye's Agent Trust Hub, connecting agent activity to trust, governance, and cost signals across tools and platforms.
- Salesforce Agentforcemajor integrationNamed as a supported agentic source in Bigeye's Agent Trust Hub, connecting agent activity to trust, governance, and cost signals across tools and platforms.
- Databricksmajor integrationNamed as a supported agentic source in Bigeye's Agent Trust Hub for connecting agent activity to data quality, classification, governance, policy, usage, and cost signals; Databricks is also integrated as a data source for Bigeye's lineage-enabled observability platform.
- Anthropic (Claude Code)major integrationClaude Code referenced as a supported agentic source for the Agent Trust Hub 30-day free trial.
- Amazon AWScore infrastructureAWS is a disclosed Bigeye subprocessor providing cloud infrastructure and storage; also integrated as a data source (Amazon Athena, AWS RDS) for Bigeye's lineage-enabled observability.
- Stripeoperational vendorStripe serves as Bigeye's third-party payment vendor, processing and storing customer payment information per Bigeye's Privacy Policy.
- Atlassian Statuspageoperational vendorPowers Bigeye's public status page (status.bigeye.com), providing uptime monitoring, incident communications, and Slack subscriptions.
Scale indicators10 records
Recent moves6 records
Expansion highlights7 records
Bigeye competitors and assessment
Company assessmentDirect peers
- Acceldata: Data observability platform spanning data pipelines, infrastructure, and AI workloads, serving enterprise customers. Competes for similar enterprise data quality and reliability budgets.
- Datafold: Data observability and data diff platform focused on testing and monitoring data pipelines, with overlap in lineage and quality monitoring for dbt and modern data stacks.
- Monte Carlo Data: Closest direct competitor in the data observability category, also founded by ex-Uber alumni and offering lineage-enabled data quality monitoring and anomaly detection for enterprise data teams. Both compete head-to-head for large enterprise observability budgets.
- Soda: Data observability platform offering data quality monitoring, anomaly detection, and lineage for modern data stacks. Frequently listed alongside Bigeye in independent buyer guides for data observability tools.
- Anomalo: AI-powered data quality platform focused on automated anomaly detection for tables in cloud data warehouses. Overlaps directly with Bigeye's Data Observability module and bigAI capabilities.
- Metaplane: Data observability platform providing data monitoring, alerting, and lineage for data teams. Comparable mid-market-to-enterprise alternative frequently cited alongside Bigeye in 2025/2026 comparison guides.
Emerging players
- Great Expectations: Open-source data quality framework offering data testing, documentation, and profiling; frequently listed alongside Bigeye as a data observability alternative, though more developer-led and less commercialized.
Broad incumbents
- Atlan: Active metadata and data catalog platform that includes lineage and governance capabilities overlapping with Bigeye's Metadata Management, Lineage, and Data Governance modules. Competes at the data trust/ governance layer rather than real-time observability.
- Alation: Established enterprise data catalog and governance platform with lineage, governance, and policy features that intersect with Bigeye's Data Governance and Data Sensitivity modules; serves a broader metadata management use case.
- Collibra: Enterprise data intelligence platform offering data cataloging, governance, lineage, and quality at large enterprises. Overlaps with Bigeye's governance, lineage, and sensitive data capabilities but as part of a broader data office suite.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Bigeye social profiles
Digital presenceBigeye compliance and trust
Trust signalCompliance4 records
Bigeye financial estimates
Financial estimateRevenue estimate
Valuation estimate
Bigeye leadership team
Management profileNumber of profiles
Profiles4 records
Bigeye subsidiaries and ownership
Company hierarchySubsidiaries1 record
Bigeye funding detail
Funding detailFunding overview
Funding rounds5 records
Investors10 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Bigeye M&A and investment
M&A and investmentM&A1 record
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Bigeye
What does Bigeye do?
Bigeye provides an enterprise AI Trust platform built on lineage-enabled data observability, combining metadata management, column-level data lineage, AI-driven anomaly detection, sensitive data classification, data governance, and runtime AI policy enforcement (AI Guardian). The platform is delivered as multi-tenant SaaS with optional on-premises deployment, and is sold primarily to enterprise data teams at large global organizations (e.g., USAA, Cisco, Zoom, Freedom Mortgage). A complementary Agent Trust Hub, launched in 2026, connects AI agent activity to data quality, classification, governance, policy, usage, and cost signals across Snowflake, Databricks, Microsoft Copilot, and Salesforce Agentforce.
Is Bigeye a public or private company?
Bigeye is a private company. It is classified as venture growth investor backed and is currently operating.
When was Bigeye founded?
Bigeye was founded in 2019. It employs 11 to 50 people.
Where is Bigeye based?
Bigeye is headquartered in San Francisco, United States, in the North America region.
How does Bigeye make money?
Two revenue lines are on record. SaaS Subscription is the primary driver. The others are professional Services.
Who are Bigeye's main competitors?
Direct peers on record are Acceldata, Datafold, Monte Carlo Data, Soda, Anomalo and Metaplane. Great Expectations is listed as an emerging player. Broad incumbents are Atlan, Alation and Collibra.
Does Bigeye have an API?
Yes. Bigeye provides a public API documented at docs.bigeye.com/docs/api-user-guide. The platform also offers developer tools, Monitoring as Code (bigconfig) for programmatically defining data quality metrics, and webhooks for event-driven notifications. Developers can build and automate data quality, observability, and lineage configurations through the API. Authentication and rate limits not specified in available sources. Developer documentation is at docs.bigeye.com/docs/api-user-guide.