Company Research Report on Eppo, Inc.

Company Overview

Name: Eppo, Inc.

Mission: Eppo aims to make advanced A/B testing accessible to everyone within an organization, fostering a culture of experimentation that enhances decision-making and innovation.

Founded: Eppo was founded in 2021.

Founders: Information about the founders is not specifically mentioned.

Key People: Specific key figures within the company are not detailed in the provided information.

Headquarters: The specific location of the headquarters is not provided.

Number of Employees: The number of employees is not specified in the provided data.

Revenue: Information regarding the company's revenue is not available.

Known For: Eppo is known for its experimentation and feature management platform that supports advanced A/B testing, facilitating fast, reliable, and insightful experiments across data warehouses with a focus on business metrics like revenue, margin, and subscriptions.

Products

Experimentation Platform

Description: An end-to-end platform designed to streamline experimentation workflows and integrate seamlessly with a company's data warehouse, enhancing data reliability and statistical rigor.

Key Features:

Warehouse-native architecture for powerful, non-black-box statistical analysis.

Automated experiment analysis to maintain rigorous standards.

Advanced statistical methods including sequential, fixed sample, and Bayesian analysis.

Feature Flagging

Description: Offers fast and resilient feature flags supporting A/B tests, controlled rollouts, and dynamic no-code configurations.

Key Features:

Safe and scalable feature deployment.

Integration with existing tools such as Optimizely and LaunchDarkly.

Personalization

Description: Leverages Contextual Bandits for real-time user experience optimization, empowering more effective personalization strategies.

Key Features:

Supports AI models with real-time optimization of user experiences.

Enhances personalization capabilities.

AI Model Evaluation

Description: Designed to evaluate AI models through rigorous experimentation using trusted business metrics.

Key Features:

Connects core business metrics to AI model performance.

Supports diverse use cases including front-end, back-end, and machine learning applications.

Recent Developments

Series B Funding: Eppo announced raising $28 million in their Series B round. Further details about investors or the date are not provided.

Partnerships: Information about new partnerships has not been detailed in the provided data.

Product Updates: The launch of the Experiment Performance Scorecard as part of the platform’s new features.

Client Success: Cases of improved operational efficiency and experimentation culture are highlighted, such as with Coinbase, GlossGenius, ClickUp, and more.

Additional Information

Customer Success Stories

Coinbase: Saved millions, cut experiment analysis time by 40%, and restored trust in experimentation.

GlossGenius: Achieved a 3x increase in marketing experiments with Eppo.

ClickUp: Saved over 12 hours per experiment, enhancing operational efficiency.

These case studies underscore Eppo’s capacity to enhance experimentation efficiency, support data-driven decision-making, and foster a rigorous experimentation culture.

Testimonials

Mark Stone, Head of Data and Analytics: “Eppo enables us to get insights that wouldn’t be possible in previous tools. It’s a whole new generation of A/B platform.”

Emily Bartha, Product Data Science Manager: Reports a 50% reduction in time spent on dashboards and debugging, allowing more focus on feature development.

Note: The report is compiled using available data. "No information is available" is stated for fields where the data was not provided.