
What is lang.ai
Lang AI leverages your Snowflake data to bring product, customer interactions, and revenue into actionable insights. The platform syncs with Snowflake in minutes, transforming data into prioritized insights that drive business value.
How to Use lang.ai
- Sync with Snowflake: Lang AI integrates with Snowflake to capture relevant data based on your goals (e.g., Retention).
- Transform Data into Insights: The AI agent generates a table of insights sorted by priority, focusing on metrics that impact your goals.
- Drive Business Value: The agent continuously analyzes new data to help achieve company objectives, such as improving retention or identifying customer concerns.
Use Cases of lang.ai
Lang AI is designed for enterprises looking to optimize their data analysis processes. It connects unstructured data with key metrics, contextualizes insights, and processes large volumes of data within Snowflake's secure environment. Use cases include customer retention, revenue optimization, and identifying emerging trends.
Features of lang.ai
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Find Correlations
Lang AI connects unstructured data with revenue-driving metrics, optimizing for variables that matter to your business.
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Contextualize Insights
The AI pipeline contextualizes insights using real Snowflake data, ensuring relevance to your goals and feedback.
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Process Large Volumes
Lang AI processes enterprise-scale data without exceeding LLM context window limits, all within Snowflake's secure perimeter.
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Customizable AI Agents
Create agents tailored to specific business goals, such as retention or growth, to derive actionable priorities from customer interactions.
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Full Customer View
The platform collects insights from all customer touchpoints, providing a comprehensive view rather than fragmented data.
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Real-Time Insights
Adapt your view as priorities change, ensuring you always see what's most relevant for your business.
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Transparency and Collaboration
Deliver insights directly to your team via Slack, keeping everyone aligned on customer-driven priorities in real-time.