Anomalo

Anomalo is an AI-native platform designed to ensure data quality across structured, semi-structured, and unstructured enterprise data. It proactively detects, root causes, and helps resolve data issues at scale, without requiring manual data quality rules or code. The platform is built for data-driven enterprises looking to build trustworthy data foundations and unlock reliable AI outcomes by ensuring their data is accurate and complete. The platform integrates deeply and natively across the modern data stack, including cloud data lakes, warehouses, orchestrators, and ETL tools. It uses unsupervised machine learning to automatically detect anomalies and allows users to customize monitoring with no-code interfaces or APIs for business logic and KPIs. Anomalo provides automated alerts, root cause analysis, and data lineage tools to rapidly mitigate issues, making it suitable for various use cases, from analytics dashboards to generative AI workflows. Specifically for retail and consumer goods, Anomalo helps protect revenue by ensuring clean product and inventory data, improves forecast reliability and AI/ML model accuracy, strengthens supply chain and vendor data quality, and elevates customer experience by ensuring reliable CRM and loyalty data. It reduces operational costs by automating data QA processes and speeds up decision-making by providing confidence in data quality.