Eliminate the bottleneck of SQL queries and analytics requests. Empower every team member to get data-driven answers instantly using natural language—no technical skills required.
Most employees can't access business data when they need it. They face a frustrating choice:
Submit a request to the analytics team and wait days or weeks for someone to write SQL queries and generate reports. By then, the business decision has already been made without data.
Spend months learning SQL, database schemas, and BI tools just to answer basic questions. Most employees never invest this time, so they remain data-blind.
Proceed without data insights, relying on intuition and past experience. This leads to missed opportunities, preventable mistakes, and competitive disadvantages.
Analytics teams spend 60-70% of their time answering routine questions instead of strategic analysis, creating backlogs and frustration on both sides.
Ask questions in plain English, just like you would ask a colleague. AI translates your question into the right queries, retrieves the data, and presents visualized answers.
Advanced NLP models understand business terminology, context, and intent—recognizing what you're asking even with ambiguous or informal phrasing.
AI translates your natural language question into optimized database queries, handling joins, aggregations, and filters automatically.
"What's the average order value for customers who bought in the last month?"
SELECT AVG(o.total_amount) FROM orders o WHERE o.order_date >= DATE_SUB(NOW(), INTERVAL 30 DAY) GROUP BY o.customer_id
You never see this—it happens automatically
Results aren't just numbers in a table. AI automatically selects the best visualization type—charts, graphs, tables, or maps—based on your data and question.
Continue the conversation naturally. Ask follow-up questions, drill down into specific segments, or change time periods without starting over.
See how natural language BI can empower every employee to make data-driven decisions. Get a demo using your actual business data and ask any questions you want.
Business teams self-serve routine questions, freeing analytics teams to focus on strategic projects and complex analysis.
Get answers in seconds instead of waiting days for someone to write queries and generate reports.
When data is accessible to everyone, more decisions are informed by actual business metrics instead of intuition.
New employees can ask questions on day one. No SQL training, schema documentation, or BI tool certifications needed.
Get instant answers about pipeline, win rates, and customer segments without waiting for sales ops reports.
Analyze campaign performance, channel effectiveness, and customer segments without technical marketing analytics skills.
Monitor customer health, identify at-risk accounts, and track engagement metrics without building complex dashboards.
Get immediate answers to strategic questions without routing requests through multiple teams.
Modern NLP models achieve 90-95% accuracy on business questions. The system improves over time by learning your business terminology and common questions. When the AI isn't confident about interpretation, it asks clarifying questions rather than guessing. You can also provide feedback to improve accuracy.
Yes. The system can handle questions requiring multiple joins, aggregations, and filters. For very complex questions, it may break the analysis into steps or ask for clarification. Most business questions—even sophisticated ones—fall well within the system's capabilities.
The AI will explain what it doesn't understand and suggest reformulations or alternative questions. It can also route complex requests to your analytics team automatically. Over time, these edge cases help improve the system.
Natural language BI respects all existing database permissions and row-level security. Users can only query data they already have permission to access. Queries are logged for audit purposes, and sensitive fields can be excluded from natural language access.
Yes. Natural language BI integrates with standard data warehouses (Snowflake, BigQuery, Redshift), databases (PostgreSQL, MySQL), and can layer on top of existing BI tools (Tableau, PowerBI, Looker). It augments rather than replaces your current stack.
Transform how your organization accesses and uses business intelligence. See natural language BI in action with your own data—no technical setup required for the demo.