Unlock Your Data with Natural Language

Reflexion empowers you to build and deploy powerful Text-to-SQL tools, allowing users to query databases using plain English, whether for internal analytics or embedded in your client applications.

Request a Demo
🔍

Show monthly revenue growth for Product Y

Reflexion AIProcessing...
-- Generated SQLSELECT
  date_trunc('month', order_date) AS month,
  SUM(revenue) AS total_revenue,
  LAG(SUM(revenue), 1, 0) OVER (ORDER BY date_trunc('month', order_date)) AS prev_month_revenue
FROM orders
WHERE product_name = 'Product Y'
GROUP BY 1
ORDER BY 1;

Monthly Revenue Growth (Product Y)

INTUITIVE INTERACTION

Chat & Explore: Effortless Data Access

Provide a user-friendly interface that combines a conversational chat experience with a powerful SQL explorer. Users can ask questions naturally and refine queries with ease, making data accessible to everyone.

Conversational Querying
Users ask questions in plain English to retrieve data.
Interactive SQL Explorer
Visualize and refine generated SQL queries for advanced users.
Embeddable Interface
Easily embed the Text-to-SQL tool into your existing apps or dashboards.

User:

Show me total sales per product category for last month.

SQL:

SELECT product_category, SUM(sales_amount) AS total_sales
FROM sales_data
WHERE sale_date >= DATE_TRUNC('month', CURRENT_DATE - INTERVAL '1 month')
AND sale_date < DATE_TRUNC('month', CURRENT_DATE)
GROUP BY product_category
ORDER BY total_sales DESC;

Sales by Category (Last Month)

Books
Electronics
Home

Natural Language

Which customers in California bought product X?

↓
Reflexion Icon


LLM Engine

(Powered by leading models (Gemini, GPT-o4-high))

↓

Generated SQL

SELECT customer_name, email FROM customers JOIN orders ON customers.id = orders.customer_id JOIN products ON orders.product_id = products.id WHERE customers.state = 'California' AND products.name = 'Product X';

POWERFUL TRANSLATION

Accurate SQL Generation, Powered by Leading LLMs

Leverage state-of-the-art Large Language Models like GPT-4 or Claude, enhanced with few-shot schema examples or live database schema retrieval, to ensure precise translation of natural language to SQL.

Advanced LLM Integration
Utilizes models like GPT-4 or Claude for high accuracy.
Few-Shot Schema Learning
Quickly adapts to your database schema with minimal examples.
Live DB Schema Sync
Option to fine-tune or retrieve from live DB schema for up-to-date context.

RELIABLE & SECURE

Enterprise-Grade Backend for Scalability and Control

Our backend infrastructure handles complex SQL parsing, validation, schema ingestion, and granular permissions, ensuring your Text-to-SQL tools are robust, secure, and scalable.

SQL Parser & Validator
Ensures generated SQL is correct and safe using tools like sqlglot.
Automated Schema Ingestion
Intelligently ingests and understands your database structure.
Role-Based Access Control
Define granular permissions at table or column level.
Query History & Approval
Optional workflow for reviewing and approving queries before execution.
SQL Parser & Validator
Schema Ingestion
Reflexion Icon
Reflexion
Secure Backend
Role-Based Access
Query History & Approval
Reflexion IconReflexion Text-to-SQL Core
API & Webhooks
Databases
(Postgres, MySQL)
Data Warehouses
(BigQuery, Snowflake)
BI Tools & CRMs

EXTENSIVE INTEGRATIONS

Connect to Your Data, Wherever It Lives

Seamlessly integrate with popular databases and data warehouses. Extend functionality with webhooks or APIs to reuse query results in your existing BI tools or CRMs.

Major Database Support
Connects to Supabase, Postgres, MySQL, and more.
Data Warehouse Connectivity
Integrates with BigQuery, Snowflake, and other warehouses.
API & Webhook Ready
Push query results to BI tools, CRMs, or custom applications.