Shape

Shape is an AI-powered data analyst tool that enables users to query their databases using plain English, eliminating the need for complex SQL or technical expertise. The core function is to act as an intelligent data bot that can be integrated into existing workflows, reducing the ad‑hoc query burden on data teams and empowering non‑technical team members to access insights directly. Users type questions in natural language—such as “New subs in the past month?”, “Avg. app usage hours last week?”, or “Editorial vs. news article performance in April?”—and the system translates these into database queries, returning relevant answers in real time. This capability is particularly useful for product managers, marketers, executives, and analysts who need frequent, quick answers without waiting for dedicated data support. The platform supports a wide range of analytical scenarios: tracking subscription growth, monitoring user engagement metrics, comparing content performance, analyzing geographic demand (e.g., “Top countries for AI course demand?”), segmenting user bases by team size (“User team size distribution?”), and tracking conversion funnels (e.g., “CEO waitlist sign‑ups?”). Shape is designed to handle both simple counts and more nuanced relational questions, making it suitable for startups and established companies alike. It can be deployed as a standalone interface or embedded into existing dashboards and internal tools. By allowing anyone to ask data questions in everyday language, Shape reduces bottlenecks in data access, speeds up decision‑making, and democratizes data literacy across organizations. The system learns from repeated queries and can adapt to specific business vocabularies, making results increasingly relevant over time. It also supports scheduled or r