Lang AI is a Snowflake-native application that uses AI agents to turn unstructured data into actionable insights. It connects to your Snowflake data, automates the analysis of customer interactions, product events, and revenue metrics, and surfaces priorities that drive retention, conversion, and growth.
How It Works
- Sync: Lang connects to your Snowflake data in minutes and configures agents based on your chosen goal (e.g., Retention).
- Transform: The AI agent generates a prioritized table of insights from the data.
- Act: Insights are delivered as actionable business value, with agents continuously analyzing new data to help achieve company goals.
Key Features
- Find Correlations: Connect unstructured data with revenue-driving metrics to optimize key variables.
- Contextualize Insights: Accurately contextualize findings with real Snowflake data, refined by user feedback.
- Process Large Volumes: Handle enterprise-scale data without LLM context window limits, all within Snowflake's security perimeter.
- Slack Integration: Share insights directly to Slack for real-time team alignment.
Use Cases
- Retention: Identify churn drivers and take proactive steps.
- Contact Reasons: Understand why customers are reaching out.
- Conversion: Optimize conversion paths based on user behavior.
- NPS: Turn Detractors into Promoters with targeted insights.
- Cross-Selling: Uncover opportunities by linking customer conversations to purchase data.
Key Benefits
- Easy setup and native Snowflake integration
- Generates actionable, business-focused insights
- Handles large volumes of data without context window limits
- Continuous analysis keeps insights up-to-date
