Anomalo Company Research Report

Company Overview

Name and Mission

• Company Name: Anomalo

• Mission: Anomalo's mission is to help enterprises build trust in the data powering their products and decisions through AI-powered automated data quality monitoring.

Founding Information

• Founders: Elliot Shmukler and Jeremy Stanley

• Story: The founders worked together at Instacart, where they encountered numerous data quality issues. This experience inspired them to create a platform that uses AI to detect and resolve data anomalies.

• Founded Date: No information is available.

Key People

• Elliot Shmukler: Co-founder and CEO

• Jeremy Stanley: Co-founder and CTO

• Other Key Executives:

• Amy Reams: Vice President of Marketing and Business Development

• Ann Heaps: Vice President of People and Talent

• Bill Watt: Vice President and Chief of Staff

• Emily Moran: Vice President of Finance

• Jerry Sharum: General Counsel

• Kirby Frugia: Vice President of Engineering

• Melissa Gannes: Vice President of Customer Solutions

Headquarters

• Location: 855 El Camino Real, Suite 405, Palo Alto, CA 94301-2337

Employee Information

• Number of Employees: No information is available.

• Revenue of the Company: No information is available.

• Notable Recognition: 2024 Databricks Partner Awards, Emerging Partner of the Year

Products

Overview of Products

Anomalo provides a comprehensive data quality monitoring platform designed to automate data quality checks using AI.

Data Quality Software

• Description: Anomalo's platform offers automated detection, root cause analysis, and resolution of data quality issues without the need to write code.

• Key Features:

• Seamless integration with data lakes/warehouses.

• AI-driven unsupervised machine learning for detecting hidden correlations, expected delivery times, and seasonal changes.

• Customizable data validation rules with a no-code UI.

• Notifications and automated root-cause analysis for quick issue resolution.

Specific Features

1. Data Quality Monitoring:

• Automated monitoring for missing, late, incomplete, and anomalous data.

• Intelligent alert routing to minimize false positives.

2. Built for Enterprise Scale:

• Capacity to monitor thousands of tables and billions of records securely.

• SOC 2 compliant, enabling efficient deployment within customer VPC environments.

3. Automated Root Cause Analysis:

• Visualizations and triage workflows for detailed analysis and issue resolution.

• Automatic data lineage for understanding upstream and downstream impacts.

Integrations

• Integration Capability: Anomalo integrates with platforms like Databricks, Snowflake, and Alation to democratize data quality information across the data stack.

• Use with ETL Tools: Integrates with data orchestration tools like dbt and Airflow for real-time data quality monitoring.

Recent Developments

Recent Company Developments

• Awards and Recognition: Anomalo received the Emerging Partner of the Year award from the 2024 Databricks Partner Awards.

• Certification Achievements: Successfully achieved Google Cloud Ready - BigQuery and AlloyDB designations and Snowflake Ready Validation.

New Product or Feature Launches

• Snowflake Marketplace Launch: Released a fully containerized native data quality app on the Snowflake Marketplace.

• Unstructured Text Monitoring: Enhanced capabilities to monitor unstructured data, reducing enterprise AI deployment time by 30%.

Partnerships and Collaborations

• Strategic Partnerships: Collaboration with platforms like Databricks and Google Cloud to extend Anomalo’s data quality solutions and integrate with existing enterprise data systems.

• Notables:

• Integration with Google Cloud for BigQuery and AlloyDB.

• Introduction into the Microsoft Azure Marketplace.

Additional Information

• Community and Customer Testimonials: Testimonials from prominent companies like Discover Financial Services highlight Anomalo's impact on enterprise-wide data quality management and reduced manual effort.

• Blogs and Thought Leadership: Ongoing conversations around data governance, anomaly detection, and observability trends presented through Anomalo's blog add to its role as an industry thought leader.

Note: This report presents all available data collected from the provided context, and explicitly notes where specifics were unavailable.