Asklytics is a secure, enterprise-grade AI data analysis platform built to transform how organizations interact with their private business data. Unlike generic AI tools, Asklytics connects directly to your internal databases and files—delivering powerful, real-time insights without moving your data outside your network.
Asklytics is built on the principle of Private Data AI, delivering intelligent analytics without ever compromising data ownership or security. The platform ensures that all data remains within your network through secure, encrypted connections, maintaining full privacy and compliance. Users can interact with their data using natural language, instantly receiving AI-generated SQL insights for faster decision-making. With seamless integration across databases like MySQL, PostgreSQL, Microsoft SQL Server, and Snowflake, Asklytics enables real-time analytics while allowing users to review, edit, and validate AI-generated queries—ensuring complete control, transparency, and enterprise-grade reliability.
Data Stays in Your NetworkAI-Powered Data ConversationsSeamless Database ConnectivityHuman-in-the-Loop Intelligence
Asklytics follows a secure three-step intelligent workflow: first, users connect their data source—either by uploading Excel files or securely integrating live databases; second, the AI engine translates natural language questions into optimized SQL queries, allowing users to review and refine them; and third, insights are generated instantly through interactive dashboards and visualizations, enabling real-time, data-driven decision-making.
Upload Excel files or connect live databases through encrypted, allow-listed IP connections.
AI converts user questions into SQL queries, which can be viewed, edited, and validated before execution.
Results are displayed through dynamic charts and dashboards with customizable visualization options.
Asklytics empowers organizations to make faster, smarter, and more secure data-driven decisions. Teams gain real-time visibility into business metrics without relying heavily on technical data teams. Manual reporting is reduced, SQL complexity is simplified, and analytics become accessible to non-technical users.
