Bigeye | Company Profile - Revenue, Headcount, Tech Stack, Contacts
Company Directory for Bigeye
Bigeye
Overview
Founded in 2019 by Kyle and Egor, this company delivers a leading data observability and monitoring platform with a focus on data reliability, freshness, accuracy, and trust for both modern and legacy data stacks. Backed by $75 million in funding, it executes over 50 million data checks and supports more than 500 data engineering customers, especially within enterprise environments that leverage AI.
The platform provides a robust feature set including anomaly detection, automated monitoring, end-to-end data lineage, and advanced data governance. With machine learning at its core, it proactively identifies issues and streamlines data management workflows. Tools for data scanning, classification, and process customization enable client teams to consistently uphold stringent data quality and security standards. Notable enterprises like Instacart, Clubhouse, and Udacity rely on its solutions to enhance issue resolution and pipeline reliability.
Basic Information
| Industry | Information Technology & Services |
|---|---|
| Founded | 2019 |
| Revenue | 3M |
| Headquarters | 145 Natoma St, San Francisco, California, United States, 94105-3710 |
| Alexa Ranking | 418807 |
Contact Details
- Phone: +1 352-642-4078
- Website: bigeye.com
- LinkedIn: linkedin.com/company/bigeye-data
Key Focus Areas & Initiatives
- Data observability and monitoring automation
- Data reliability, freshness, and trust for enterprise AI
- Anomaly detection across legacy and modern data stacks
- Automated end-to-end data lineage and pipeline oversight
- Machine learningโdriven data quality and governance
- Security and compliance for sensitive data
- Impact and root cause analysis for data incidents
Technologies Used
- AI
- AWS Trusted Advisor
- Amazon AWS
- Cloudflare DNS
- Databricks
- DoubleClick
- DoubleClick Conversion
- Gmail
- Google Apps
- Google Dynamic Remarketing
- Google Font API
- Google Tag Manager
- HeapAnalytics
- Hotjar
- Hubspot
- Intercom
- LinkedIn Sales Navigator
- Linkedin Marketing Solutions
- Microsoft Office 365
- Mobile Friendly
- Netlify
- React
- Remote
- Route 53
- Salesforce
- Slack
- Snowflake
- Webflow
Buyer Teams to Target
Data Engineering & Analytics
- Head of Data Engineering
- Lead Data Engineer
- Data Architect
- Analytics Engineering Manager
- Data Reliability Engineer
- Machine Learning Engineer
Product Management & Platform Operations
- VP of Product
- Product Manager, Data Platform
- Technical Program Manager
- Platform Operations Lead
- Solutions Architect
- Enterprise Integrations Manager
Security & Compliance
- Chief Information Security Officer
- Data Privacy Manager
- Security Analyst
- Compliance Lead
- Infrastructure Security Engineer
- Governance Risk & Compliance Analyst
Executive & IT Leadership
- Chief Technology Officer
- Chief Data Officer
- VP of Engineering
- Director of IT
- Director of Data Strategy
- Enterprise Architect
What They Buy
- Cloud infrastructure & managed hosting
- Enterprise data integration & ETL tools
- Machine learning & analytics platforms
- Data visualization & dashboard solutions
- Security, compliance, and data privacy software
- Workflow automation & monitoring solutions
- Customer support & engagement platforms
Signals to Watch
- ๐ New job postings for data engineering or platform roles
- ๐ฐ Recent funding rounds or investments
- ๐งโ๐ป Adoption of new cloud infrastructure or analytics tools
- ๐ Public launch of new data-driven services or AI initiatives
- ๐ซ Appointment of new technology, data, or security leadership
- ๐ Expansion into new verticals or enterprise partnerships