An easy to use Natural Language Search Interface for databases that allows you to ask questions about organization’s data in plain English and returns result in a suitable format back to you (charts, tables or direct answer).Watch Demo
What makes FETCH Different?
Natural Language Parser is 2 times more accurate than open source alternatives.
The integration is ~100 times faster than building an in-house solution based on NLP libraries.
Can connect to any relational database and customizable for the domain specific languages and structured data sources.
Safety and Data Privacy
Your data stays in your database, we do not move it or even index it.
Allows to introduce new synonyms, business-specific jargon, custom calculations and domain-specific rules.
Doesn’t require training on the massive datasets. Fetch only needs to know the schema of your data to get started.
Natural Language Search
Access reliable data instantly and without the need for SQL by using intuitive and powerful Natural Language Search Interface for databases.
Data Visualization brings data to life, offering a better and faster way to identify patterns, trends and correlation in the data sets - the most intuitive way to uncover actionable insights.
AI-powered autocomplete that understands your search history.
Natural Language Question Answering
Find hidden insights by asking questions about data using plain English
FriendlyData helps users to find the needed information even with the misspelled queries.
English to SQL. Natural Language Query
Fetch turns natural language to SQL and enables non-technical team members to access data quickly and easily, using their own language, without the need for expensive developers or database professionals.
The self hosted version of FETCH is suitable for strict security policies.
FriendlyData only accesses your data through the read-only SQL channel you open for us. We use end-to-end encryption to fulfill the strict security requirements.
You remain in full control of DB security on per-individual and per-group level.