Anomalo

We're Anomalo, and we were born out of a shared passion for the power of data. Our co-founders, Elliot Shmukler and Jeremy Stanley, experienced firsthand the immense challenges of data quality while working together at Instacart. They saw how broken or stale data could bring critical projects to a grinding halt and undermine confidence in decision-making. It was clear that traditional, rule-based approaches to data quality were no longer sufficient in the age of big data. This realization sparked the idea for Anomalo: a smarter, automated way for enterprises to trust their data. We founded the company in 2018 with a mission to help businesses move beyond manual, time-consuming data validation and embrace an AI-first approach.

Our platform is designed to be the complete data quality solution for the modern data stack. We connect directly to your cloud data warehouse or data lake, and without requiring a single line of code, our unsupervised machine learning algorithms begin to automatically monitor your datasets. We learn the historical patterns and structure of your data to detect anomalies, distribution shifts, and other quality issues in real-time. This means you can catch problems before they impact your downstream analytics, customer-facing products, or machine learning models. We're not just about flagging issues; we provide deep root-cause analysis to help your teams understand why something went wrong and resolve it quickly. We believe that by making data quality monitoring effortless and comprehensive, we empower every organization to build with confidence, accelerate their AI and data initiatives, and unlock the true value of their data. We're proud to be backed by world-class investors and trusted by leading brands to ensure their data is always reliable and ready for action.