Create, manage, and analyze metrics with conversational AI. Import existing metrics from GitHub, build with natural language, and get intelligent insights. Enterprise-grade metric management with Infrastructure as Code, CI/CD pipelines, and automated validation.
Simple Process: Connect your data sources or import from GitHub → Use natural language to create metrics with AI → Query and analyze with conversational interface → Deploy through CI/CD with automated validation.
Transform your metric management with AI-powered creation, version control, and intelligent analysis
Connect to Snowflake, Databricks, or other data sources. Or import existing metric definitions directly from GitHub repositories with automatic validation.
Use natural language to describe your metric. Our AI generates SQL queries, suggests dimensions, and recommends aggregation strategies. Or use the visual cube builder for no-code metric creation.
Ask questions about your metrics in natural language. Get instant insights, trend analysis, and recommendations. Use semantic search to find metrics by description.
Deploy metrics through CI/CD pipelines with automated testing and validation. Monitor metric health, track changes, and get alerts on anomalies.
Everything you need to create, manage, and analyze metrics at scale
Ask questions about your metrics in natural language. Get instant insights, trend analysis, and recommendations powered by conversational AI.
Create metrics from natural language descriptions. Our AI generates SQL queries, suggests dimensions, and recommends aggregation strategies.
Import existing metric definitions directly from GitHub repositories. Supports YAML-based metric definitions with automatic validation.
Build data cubes visually with drag-and-drop interface. Define dimensions, measures, and hierarchies without writing code.
Query metrics using natural language. Find metrics by description, understand relationships, and discover insights through conversation.
Start with pre-built templates for common metrics. Customize templates for your use case and share with your team.
Connect to Snowflake, Databricks, and other data sources. Unified interface for managing metrics across platforms.
Version control your metrics with Git. Deploy through CI/CD pipelines with automated testing and validation.
Link metrics to OKRs and track progress automatically. Get insights on goal achievement and performance trends.
Join hundreds of data teams who trust UndercastAI for AI-powered metric creation, version control, and intelligent analysis.