Lang.ai is a language understanding platform that automates the tagging of support conversations and repetitive actions by leveraging Snowflake data to generate actionable insights. This technology addresses the inefficiencies in data processing and analysis, enabling businesses to enhance customer interactions and drive revenue growth.
Funding
$12.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+2Founders
Product
Problem
Many organizations struggle to extract actionable insights from unstructured data sources like customer support conversations, product reviews, and survey responses. Traditional data engineering processes are time-consuming and require specialized expertise, hindering the ability to quickly understand customer needs and improve business outcomes.
Solution
Lang.ai provides an AI-powered platform that automates the analysis of unstructured data directly within Snowflake, enabling businesses to derive actionable insights from customer interactions. The platform leverages AI Agents to connect complex, unstructured data with key performance indicators (KPIs) such as retention, conversion, and sales. By accurately contextualizing insights with real-time Snowflake data, Lang.ai helps businesses optimize for the variables that drive revenue and improve customer satisfaction. The platform processes large volumes of enterprise data without exceeding large language model (LLM) context window limits, ensuring scalability and security within the Snowflake environment.
Target Audience
Lang.ai targets enterprise businesses that utilize Snowflake for data warehousing and analytics, particularly those seeking to improve customer retention, increase sales, and gain a deeper understanding of customer behavior.
Features
- AI Agents for retention, contact reasons, conversion, NPS, and cross-selling
- Automated tagging of support conversations and repetitive actions
- Ability to find correlations between unstructured data and key metrics
- Advanced AI pipeline for contextualizing insights with Snowflake data
- Processing of large data volumes within the Snowflake security perimeter
- Integration with Slack for real-time delivery of insights to teams
- Customizable agents to derive actionable priorities from customer interactions