Bigeye | Company Profile - Revenue, Headcount, Tech Stack, Contacts

Bigeye | Company Profile - Revenue, Headcount, Tech Stack, Contacts

Updated April 22, 2026
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Bigeye is a data observability and monitoring platform founded in 2019 by Kyle and Egor.

Employees54
Revenue$3M
Total Funding75M
Alexa Rank# 418807

Industry & Market

Primary Industry
information technology & services
Location
San Francisco, California, United States

Funding Information

Latest Stage
Other
Annual Revenue
$3,000,000

Headcount Distribution

Total Employees
54
Departments
19

By Department

Department Breakdown

Engineering
Sales
Marketing
Arts And Design
Entrepreneurship
Business Development
Others

Keywords & Focus Areas

aiartificial intelligencedata qualitydata analyticsdata lineagedata engineeringdata managementdata observabilityai trustai guardianmetadata managementmlsensitive data scanningdata sciencedata reliabilitydata reliability engineeringdata governancesoftware developmentimpact assessment toolsdata monitoring automation+10 more
30 total keywords

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.

Key Metrics

Total Employees
XXXX
Total number of employees
Engineering
XX
Number of employees in the engineering department
Sales Team
$XX
Number of employees in the sales department
Marketing
XX
Number of employees in the marketing department
Founded
XXXX
Year the company was founded
Revenue
$XXX,XXX,XXX
Total revenue of the company
Total Funding
$XXX M
Total funding of the company
Market Cap
$XXX,XXX
Market cap of the company

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Contact

Company
Bigeye
Headquarters
145 natoma st, san francisco, california, united states, 94105-3710
Founded
2019
Industry
Information Technology & Services

Technology Stack

Analytics & Tracking

Google Tag ManagerHeapAnalytics

Social & Marketing

Google Dynamic RemarketingLinkedIn Sales NavigatorLinkedin Marketing Solutions

Database & Backend

AWS Trusted AdvisorGoogle Font API

Cloud & Infrastructure

AWS Trusted AdvisorAmazon AWSCloudflare DNS

Productivity

Not found

How to sell to Bigeye

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

📆 New job postings for data engineering or platform roles💰 Recent funding rounds or investments🧑‍💻 Adoption of new cloud infrastructure or analytics tools🚀 Public launch of new data-driven services or AI initiatives🫂 Appointment of new technology, data, or security leadership📊 Expansion into new verticals or enterprise partnerships

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