Shape: AI Data Analyst for Plain English Queries
Shape is an AI-powered data analyst that connects directly to your database, letting you ask questions in plain English and get accurate answers, SQL, and visualizations instantly.
Overview
Shape transforms how teams interact with their data by acting as an always-on AI data analyst. Instead of waiting on a data team to write SQL or build a dashboard, anyone—from product managers to marketers—can simply ask a question in natural language and receive a precise, well-contextualized answer. Shape doesn't just spit out numbers; it surfaces the underlying assumptions, caveats, tables, and even the SQL query used, so users can trust and verify the results.
Built on GPT-4 powered custom agents combined with proprietary dataset pre-analysis, Shape is designed to reduce the constant stream of ad-hoc data requests that bog down analytics teams. Whether you need to check new subscriber growth, compare content performance, or calculate campaign ROI, Shape handles the heavy lifting behind the scenes. With native Slack integration and API access, it fits seamlessly into existing workflows, making data truly self-service for non-technical stakeholders.
Capabilities & Features
- AI data analyst
- Data query
- SQL generation
- Data visualization
- Database connection
- Business intelligence
- Analytics
- Slack integration
- API
- GPT-4
Core Features
- AI-powered data analysis using GPT-4 custom agents
- Natural language (plain English) querying
- Automatic data visualizations from query results
- Slack integration for instant in-channel answers
- API access for custom workflow integration
- Dataset pre-analysis for improved accuracy
Use Cases
- Tracking growth metrics like new subscriptions or weekly active usage trends
- Comparing content or product category performance over specific time periods
- Analyzing user demographics such as team size distribution or geographic demand
- Measuring marketing campaign effectiveness including ROI and conversion rates
- Monitoring specific user actions like button clicks or waitlist sign-ups
Best For
- Product Managers
- Data Analysts
- Marketing Teams
- Business Intelligence Teams
- Data Scientists
Pros
- •Removes technical barriers by allowing plain English database queries
- •Builds trust by showing assumptions, caveats, and raw SQL alongside answers
- •Reduces repetitive ad-hoc query requests for data teams
- •Integrates directly into Slack for fast, in-context insights
- •Enterprise-grade security with SOC 2 Type I certification
Cons
- •Entry-level pricing may be steep for very small teams or solo users
- •Additional user costs can add up quickly for larger organizations
- •Custom pricing for Enterprise tier lacks upfront transparency
- •Accuracy depends on AI interpretation, which may require verification for complex queries
How to Use
1. Connect Shape securely to your database. 2. Let Shape pre-analyze your dataset to understand its structure. 3. Ask any data-related question in plain English via the app or Slack. 4. Review the answer along with assumptions, caveats, generated tables, and the underlying SQL. 5. Use automatic visualizations or export results to share with your team.
Frequently Asked Questions
Pricing
Shape offers tiered monthly pricing starting at $49 for 2 users (Starter), scaling to $499 for 20 users (Team), with a custom-priced Enterprise plan offering unlimited users and white-glove onboarding.
Pricing data is provided as a summary. Visit the vendor website for full tier details.