What is Wren?
Features & Capabilities
🔗 Embedded & API-Driven Analytics
White-Label Embedded GenBI
Embed a customizable Generative BI agent directly into your SaaS platform or product using Wren AI's API.
API-Driven Integration
Seamlessly integrate conversational analytics into your existing UI or workflows via a robust API for queries and visual generation.
💬 Conversational AI for Data
Natural Language to SQL
Automatically generate fast and accurate SQL queries from plain English questions using context-aware models.
Semantic Modeling Layer
Ensure consistent data definitions and reduce AI hallucinations with a robust semantic model layer.
Instant Ad-Hoc Answers
Empower business users to get data-backed answers in seconds by asking questions in plain English, bypassing static dashboards.
Rapid Insight Generation
Transform natural language questions into charts, SQL, or summaries instantly for quick decision-making across teams.
⚙️ Data Connection & Modeling
Effortless Data Source Connection
Easily connect and onboard various databases and data warehouses with just a few clicks.
Intuitive Data Modeling
Import existing data metadata or create new models using an intuitive tool for consistent data understanding.
Screenshots & Demo
See Wren in action with screenshots and video demonstrations
Product Screenshots
Wren
Open-source text-to-SQL solution for efficient data analysis
Ready to see more?
Experience Wren firsthand with a free trial or schedule a personalized demo.
Real-World Use Cases
Embedded Conversational BI for SaaS Products
SaaS providers can seamlessly integrate Wren AI's white-label GenBI API into their platforms, enabling their end-users to ask natural language questions and receive instant, data-backed answers, charts, and summaries directly within the application. This allows SaaS companies to rapidly deploy AI-powered analytics without extensive in-house development.
Industry: B2B SaaS • User Type: SaaS Product Teams
Empowering Business Teams with Instant Ad-Hoc Data Answers
Business users often struggle with static dashboards and long waits for analyst reports. Wren AI allows them to bypass these bottlenecks by asking complex data questions in plain English and instantly receiving accurate SQL, charts, and summaries, fostering quicker, data-driven decision-making across various departments.
Industry: Cross-industry • User Type: Business Analysts
Rapid Hypothesis Validation and Data Discovery for Product Teams
Product managers and growth teams require fast access to data to validate product hypotheses, understand user behavior, and identify growth opportunities. Wren AI eliminates the need for SQL queries or analyst queues, providing instant, conversational insights into usage, churn, and revenue metrics to drive smarter and faster product development cycles.
Industry: Technology • User Type: Product Managers
Delivering Instant, Tailored Reports to VIP Customers
Customer Success teams can significantly improve client satisfaction by using Wren AI to generate immediate, customized reports and charts in response to high-value customer inquiries. This capability empowers them to provide on-the-spot, data-driven answers, strengthening customer relationships and loyalty.
Industry: B2B SaaS • User Type: Customer Success Managers
Frequently Asked Questions
Wren AI is an open-source Generative Business Intelligence (GenBI) agent that converts plain-language questions into accurate SQL queries, charts, and written insights. It enables users to interact with their data using natural language without coding.
Wren AI consists of three core components: Wren UI, a user-friendly interface for asking questions, defining data relationships, and integrating data sources; Wren AI Service, which uses a vector database to provide context and guides large language models (LLMs) to generate precise SQL; and Wren Engine, a semantic engine that manages metadata, connects to data sources, and translates standard SQL into various dialects while encapsulating business logic.
Wren AI classifies questions into three categories: Data Retrieval Requests, which are directly converted into SQL to fetch data, with options for summaries, visualizations, and SQL query viewing; Database Schema Exploration, which involves queries about tables, schemas, and relationships to help users understand the database structure; and Out-of-Scope Queries, where if a question cannot be answered, Wren AI guides users to refine it.
Wren AI supports multiple languages including English, German, Spanish, French, Japanese, Korean, Portuguese, and Chinese, allowing users worldwide to ask questions in their native language.
Yes, Wren AI provides an embed-friendly REST API that allows developers to add “ask data” features into Slack bots, mobile apps, or customer portals with minimal coding.
GenBI generates AI-powered summaries and reports alongside SQL queries, transforming raw data into clear, actionable insights and charts to facilitate faster decision-making.
It uses a semantic layer that translates database schema into business terms, ensuring consistent and governed answers. The LLM router selects the best language model to maintain high accuracy.
No coding is required to ask questions or generate insights. Users can type plain English questions and receive SQL, charts, and explanations in minutes.
You can start by entering questions in the Wren AI interface or via its API. The system will classify your question and provide answers, visualizations, or schema information accordingly.
Need more information?
For specific questions about Wren, pricing, or technical support, please contact the Wren team directly through their official website.
Specifications
Available via:
Browser
API
Browser
Cloud
Built for:
Startup
Business
Enterprise
Complexity:
Expert
Advanced technical expertise needed
Pricing Plans
✓ Transparent pricing
Integrations
Notion
GitHub
Microsoft Excel
OpenAI
Meta Llama 3
MySQL
Links
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