Infobelt AQL-Copilot™
Infobelt AQL-Copilot™
GenAI powered Archive Query Language
AQL-Copilot™ Transforms Data Retrieval with Natural Language Queries
User-Friendly Interface
Intuitive Chat GPT-like interface suitable for business, legal & corporate users. Maintain history of prompts and the respective responses.
Access data from a single archive or collection of archives
AQL-Copilot™ allows you to query a single archive or a collection of archives (collated from multiple databases)
Exporting data to various formats
After querying the archive, the resulting data can be exported to multiple formats such as CSV, JSON, SQL.
Encrypted Data Handling
AQL-Copilot™ allows you to manage your data in a secure way using encryption and features such as password protection and sensitive data masking.
Dynamic Query Generation
AQL-Copilot™, based on user requests, dynamically analyzes the data model, learns which tables are needed to answer the query, generates and executes SQL queries allowing for quick and efficient data retrieval.
Integration Capabilities
The system integrates with existing database archives ensuring that users can leverage their current infrastructure. AQL-Copilot™ Benefits for Businesses
Cost Savings
The reduction in time spent on manual processes translates into cost savings, allowing resources to be allocated more effectively across the organization.
Enhanced Productivity
Generate complex reports from archived data using simple English language prompts and queries. Saves time and effort.
Increased Efficiency
By automating and enabling repeatability of query generation and reporting, AQL-Copilot™ significantly reduces the time and effort required for data analysis tasks.
Improved Data Accessibility
AQL-Copilot™ enables authorized team members to access and retrieve critical information for their daily operations and regulatory requirements without having to learn the technology intricacies All the while conforming to fine grained entitlements and ensuring data security.
Empowering business users with AI tools for archived data retrieval
Exceeding customer expectations.
COO and Compliance Head
Fortune 500 Bank, Jersey City, NJ
IT Manager
Fortune 500 Bank, San Francisco, CA