Anomalo, a leader in enterprise data quality, has announced the launch of AIDA (Anomalo’s Intelligent Data Analyst), a first-of-its-kind AI data analyst. Built directly atop its data quality platform and developed in conjunction with Google Cloud, Databricks, and Snowflake, AIDA allows users to interact with their data using natural language, delivering insights grounded in monitored, high-quality datasets.
Anomalo launches AIDA, an AI data analyst built on its data quality platform.
AIDA uses natural language to let users ask questions and create visualizations.
It is uniquely powered by Anomalo's intelligence layer for data quality and context.
The solution was co-developed with Google Cloud, Databricks, and Snowflake.
It integrates with AI services like Vertex AI, Mosaic AI, and Snowflake Cortex.
Users can create new data quality checks directly through a chat interface.
What distinguishes AIDA from other AI tools is its foundation in Anomalo's proprietary intelligence layer. This layer, traditionally used for unsupervised machine learning and data quality monitoring, provides AIDA with deep contextual understanding of enterprise data. This enables it to reason about data in a way that generic chatbots cannot, transforming it from a simple query tool into a self-reinforcing analytical system.
AIDA was built in close partnership with leading cloud and AI platforms to ensure robust performance and flexibility. It leverages Anomalo's existing connectors to over 17 data sources, including Google BigQuery, Databricks, and Snowflake. Crucially, it utilizes their respective AI service layers—Google Cloud's Vertex AI, Databricks Mosaic AI, and Snowflake Cortex AI—allowing customers to choose their preferred large language models, such as Google's Gemini or Anthropic's Claude, for processing.
This partnership-focused development ensures that insights generated by AIDA are both powerful and trustworthy. By combining the advanced reasoning capabilities of world-class AI with Anomalo's proven data quality foundation, enterprises can confidently use AIDA to explore data, investigate anomalies, and even create new data quality checks through conversation, feeding discoveries back into the system to continuously improve data trust.
AIDA represents a significant evolution in how organizations interact with their data. It moves beyond mere monitoring to true understanding, empowering every data user from analysts to executives to generate trusted insights with speed and confidence. This advancement is a critical step in preparing enterprise data for the demands of the AI era, ensuring that decisions are based on a foundation of quality and context.
Anomalo is reinventing enterprise data quality with an AI-powered data quality platform. Anomalo uses machine learning to replace traditional rules-based systems and automatically detect and alert teams about data quality issues across both structured and unstructured data. With seamless integrations across the entire data stack, Anomalo ensures customers can confidently operate with data and AI before data quality impacts downstream business decisions, customer-facing applications and machine learning models. Anomalo is backed by Databricks Ventures, Snowflake Ventures, SignalFire, Smith Point Capital, Norwest Venture Partners, Foundation Capital, Two Sigma Ventures, Village Global and First Round Capital.