Lang AI

Lang AI is a data analytics platform designed to transform unstructured data—such as customer conversations, support tickets, product reviews, and social media comments—into structured, actionable insights. The platform integrates directly with Snowflake, enabling businesses to leverage their existing cloud data warehouse without additional migration or data duplication. Instead of requiring manual tagging, coding, or complex data engineering pipelines, Lang AI automates the extraction of meaning from raw text and metadata, then organizes those insights into clear, user-friendly dashboards and reports. The core workflow begins with data ingestion: users connect their Snowflake instance, and Lang AI automatically scans the available tables, identifying columns that contain free-text fields like chat logs, survey responses, or agent notes. Using natural language processing models, the platform classifies, clusters, and summarizes the content into thematic categories—for example, "Disappointment with Product Durability," "Concern over Environmental Impact," or "Finding of Cheaper Alternatives," as shown in the provided dashboard screenshot. Each cluster is assigned a label, a severity score, and a volume metric, allowing teams to quickly see which issues are most frequent or trending over time. Beyond simple categorization, Lang AI provides quantitative analysis: it calculates retention rates per user segment, tracks sentiment changes, and correlates specific text patterns with revenue metrics. The platform's "Retention Agent" feature specifically monitors customer churn signals by flagging conversations that indicate dissatisfaction, switching intent, or unmet needs. These signals are presented alongside engagement data (e.g., daily active users, page views, subscription