Self-service analytics
Self-service analytics
Natural Language Queries for Reliable Analytics
Natural Language Queries for Reliable Analytics
Enable any business user to ask questions in plain language without overloading IT or risking security.
Enable any business user to ask questions in plain language without overloading IT or risking security.
Business Users Self-Serve Data,
IT Maintains Control
Business Users Self-Serve Data, IT Maintains Control
Cut ad-hoc requests by up to 70% and free
BI teams for higher-value work.
The Engine Behind Natural Language
Querying: Data Messenger
The Engine Behind Natural Language Querying:
Data Messenger
The Engine Behind Natural Language Querying:
Data Messenger
Chata.ai’s Data Messenger is a secure, conversational interface that translates natural language into trusted, auditable database queries.
Custom Models
Custom Models
Trained on your schema for accurate, reliable results
Trained on your schema for accurate, reliable results
Supports 100+ Languages
Supports 100+ Languages
For global team adoption
For global team adoption
Works Where You Work
Works Where You Work
Teams, Slack, Excel, and embedded portals
Teams, Slack, Excel, and embedded portals
Explainable Outputs
Explainable Outputs
With full SQL visibility for every query
With full SQL visibility for every query
Flexible Deployment
Cloud, hybrid, or 100% on-prem
Enterprise-Grade Controls
RBAC, data permissions, and audit logs
Data Messenger Makes Database
Querying Simple
Data Messenger Makes Database Querying Simple
Data Messenger Makes Database Querying Simple
Built for Exploration, Not Just Answers
Every result can be explored and adjusted on the fly. Switch dimensions, change metrics, or visualize relationships to see the same data from multiple perspectives.
Drill Downs Without Follow-Up Questions
Each click takes you closer to the insights that matter. Drill into relationships, narrow results, and refine views naturally without restarting queries.
Your Workspace for Ongoing Analysis
Data Messenger is a workspace where you can explore, refine, and save what you find. Filters and views carry forward into dashboards and alerts, so your work doesn’t disappear.
Give Business Users Direct Access
To Raw Data From Your Data Warehouse
Give Business Users Direct Access To Raw Data From Your Data Warehouse
Give Business Users Direct Access To Raw Data From Your Data Warehouse
We connect to all major data warehouses:
Frequently Asked Questions
What is natural language data interface?
A natural language data interface is a system that allows users to interact with data using everyday, human language rather than technical tools such as SQL, dashboards, or code.
What is natural language data interface?
A natural language data interface is a system that allows users to interact with data using everyday, human language rather than technical tools such as SQL, dashboards, or code.
What is natural language data interface?
A natural language data interface is a system that allows users to interact with data using everyday, human language rather than technical tools such as SQL, dashboards, or code.
How accurate are the results from natural language queries?
Chata.ai uses a deterministic AI approach tailored to your data model, so results are consistently accurate and aligned with your business logic. The output is always the same for a given input. This is critical for analytics, where decisions depend on accuracy.
How accurate are the results from natural language queries?
Chata.ai uses a deterministic AI approach tailored to your data model, so results are consistently accurate and aligned with your business logic. The output is always the same for a given input. This is critical for analytics, where decisions depend on accuracy.
How accurate are the results from natural language queries?
Chata.ai uses a deterministic AI approach tailored to your data model, so results are consistently accurate and aligned with your business logic. The output is always the same for a given input. This is critical for analytics, where decisions depend on accuracy.
What are some example questions I can ask with NLQ?
Questions should be specific and focused on what you want to know. Think of it like talking to a human. If they’d need more context to answer your question, try rephrasing it with more detail. Natural language queries work best when they’re clear and direct.
Examples:
Show average order value by region for the last 6 months.
Who are our top 10 customers by total spend this year?
Which products had the highest return rate in June?
What are some example questions I can ask with NLQ?
Questions should be specific and focused on what you want to know. Think of it like talking to a human. If they’d need more context to answer your question, try rephrasing it with more detail. Natural language queries work best when they’re clear and direct.
Examples:
Show average order value by region for the last 6 months.
Who are our top 10 customers by total spend this year?
Which products had the highest return rate in June?
What are some example questions I can ask with NLQ?
Questions should be specific and focused on what you want to know. Think of it like talking to a human. If they’d need more context to answer your question, try rephrasing it with more detail. Natural language queries work best when they’re clear and direct.
Examples:
Show average order value by region for the last 6 months.
Who are our top 10 customers by total spend this year?
Which products had the highest return rate in June?
Can I audit or trace how a natural language query was processed?
Yes. Chata.ai provides full transparency into how it interpreted your query. You can check the Query History to review how a natural language query was processed. This log gives you full visibility into query text, generated SQL, source, project, user, time, and status.
Can I audit or trace how a natural language query was processed?
Yes. Chata.ai provides full transparency into how it interpreted your query. You can check the Query History to review how a natural language query was processed. This log gives you full visibility into query text, generated SQL, source, project, user, time, and status.
Can I audit or trace how a natural language query was processed?
Yes. Chata.ai provides full transparency into how it interpreted your query. You can check the Query History to review how a natural language query was processed. This log gives you full visibility into query text, generated SQL, source, project, user, time, and status.
What data sources can I query using natural language?
Chata.ai connects directly to structured data sources like databases, data lakes, third-party tools, and BI platforms.You can query data across different sources all from a single interface.
What data sources can I query using natural language?
Chata.ai connects directly to structured data sources like databases, data lakes, third-party tools, and BI platforms.You can query data across different sources all from a single interface.
What data sources can I query using natural language?
Chata.ai connects directly to structured data sources like databases, data lakes, third-party tools, and BI platforms.You can query data across different sources all from a single interface.
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