Loops is a nlp-query AI analytics tool. Product analytics platform that enables teams to query and visualize data through natural language, and provide proactiv Pricing: Pricing not publicly available. Contact for demo and custom pricing.. It integrates with Redshift, Athena, BigQuery, ClickHouse, Databricks.

    What is Loops?

    Product analytics platform that enables teams to query and visualize data through natural language, and provide proactive actioable insights

    How much does Loops cost?

    Pricing not publicly available. Contact for demo and custom pricing.

    What are the key features of Loops?

    Scout AI analytics agent with Slack/MS Teams/Email alerts. Agentic AI-powered insight summaries. KPI drop root cause analysis. Causal analytics and inference. Release impact measurement. Habit moment/journey tracking. Self-serve natural language queries. Real-time KPI monitoring

    What data sources does Loops integrate with?

    Loops integrates with Redshift, Athena, BigQuery, ClickHouse, Databricks, PostgreSQL, SingleStore, Snowflake, Vertica, Amplitude, and more.

    What type of AI analytics tool is Loops?

    Loops is a nlp-query AI analytics tool designed to help data teams and analysts work more efficiently with data.

    Product analytics platform that enables teams to query and visualize data through natural language, and provide proactiv

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    About Loops

    Product analytics platform that enables teams to query and visualize data through natural language, and provide proactive actioable insights

    Key Features

    • Scout AI analytics agent with Slack/MS Teams/Email alerts
    • Agentic AI-powered insight summaries
    • KPI drop root cause analysis
    • Causal analytics and inference
    • Release impact measurement
    • Habit moment/journey tracking
    • Self-serve natural language queries
    • Real-time KPI monitoring

    Trusted By

    Monday.com
    AB InBev
    Postman
    ClickUp
    Taboola
    And more!

    Notable

    Featured case study: Monday.com reduced hypothesis prioritization time from a full day to less than an hour, with 80%+ experiment success rate. ROI includes 20-200% lift in conversion, retention, and revenue metrics. SOC 2 Type II compliant.