L

lang.ai

4.6
💬231
💲Paid

Lang.ai simplifies data engineering by automating complex tasks and leveraging AI agents to analyze Snowflake data. It provides actionable insights into customer interactions, retention, conversion, and NPS, helping businesses make data-driven decisions. The tool also offers contextualized insights, correlation finding, and large volume data processing capabilities.

💻
Platform
web
AI AgentsActionable InsightsBusiness ValueConversionCross-SellingCustomer InteractionsData Analysis

What is lang.ai?

Lang.ai is a tool that automates data engineering processes and delivers actionable insights from Snowflake data using AI agents. It's designed for businesses looking to streamline their data analysis workflows and gain deeper insights into customer interactions, product performance, and revenue trends.

Core Technologies

  • AI Agents
  • Data Engineering
  • Snowflake Integration
  • Large Volume Data Processing
  • Natural Language Processing (implied from AI capabilities)

Key Capabilities

  • Automate data engineering tasks
  • Generate actionable insights from Snowflake data
  • Analyze customer interactions, retention, conversion, and NPS
  • Provide contextualized insights and correlations
  • Integrate with Slack for transparency

Use Cases

  • Analyzing customer retention and churn reasons
  • Optimizing conversion rates and cross-selling strategies
  • Improving NPS scores and customer sentiment analysis
  • Identifying product returns and user experience issues
  • Addressing cybersecurity concerns and patient conversion rates

Core Benefits

  • Streamlines data engineering processes
  • Provides actionable insights from Snowflake data
  • Enhances customer retention and conversion analysis
  • Improves NPS and cross-selling strategies
  • Offers transparency via Slack integration

Key Features

  • AI Agents for Retention, Conversion, NPS, and Cross-Selling
  • Correlation Finding and Contextualized Insights
  • Large Volume Data Processing
  • Slack Integration for Transparency
  • Snowflake Native App for Seamless Integration

How to Use

  1. 1
    Sync Lang.ai with your Snowflake instance
  2. 2
    Define your goal (e.g., Retention, Conversion)
  3. 3
    Let Lang.ai capture relevant information from Snowflake tables
  4. 4
    Transform Snowflake data into insights
  5. 5
    Leverage insights to drive business value

Pricing Plans

Snowflake AI Agents

$0.25/row + Snowflake Infrastructure Cost
AI agents for analytics of customer interactions

Frequently Asked Questions

Q.What data sources can Lang.ai analyze?

A.Lang.ai can analyze data from any customer touchpoint available in your Snowflake instance, including customer support tickets, survey responses, product usage logs, transaction data, website interaction data, and more.

Q.How does Lang.ai ensure data security?

A.Lang.ai processes Enterprise Data volumes without hitting LLM context window limits, all within the security perimeter of Snowflake.

Q.What makes Lang.ai different?

A.Lang.ai is built to connect unstructured complex data with metrics that drive revenue, optimizing for the variables that matter for your business. Our advanced AI pipeline accurately contextualizes the insights with real Snowflake data based on the AI agent goal and the relevance according to your feedback.

Pros & Cons (Reserved)

✓ Pros

  • Easy setup process
  • Understandable AI agents
  • Actionable insights for business decisions
  • Snowflake native app for seamless integration
  • Complete customer view through data analysis
  • Transparency via Slack integration

✗ Cons

  • Pricing not explicitly mentioned on the main website
  • Reliance on Snowflake data for analysis

Alternatives

No alternatives found.