Vidyanta AI Features

Users can ask questions about business data in plain English and receive answers without manually writing SQL.

Makes data accessible to business users and reduces dependence on technical teams for routine analytics.

Vidyanta interprets the question, generates the required query and returns the result with an explanation.

Converts raw business data into understandable insights faster.

The SQL generated for an answer can be viewed by the user for verification.

Improves transparency and gives technically capable users confidence in how an answer was derived.

Users can select a faster model for everyday questions or a higher-capability model for complex reasoning.

Balances speed, complexity and AI usage according to the nature of the question.

Converts useful answers into dashboards with KPI cards and appropriate visualizations such as bar, pie and line charts.

Turns individual data queries into reusable management views.

Frequently used answers can be pinned and accessed from one place, with the data remaining live.

Elimates repetitive queries and gives teams quick access to their most important metrics.

Any query can be scheduled daily, weekly or monthly.

Automates recurring reporting and removes the need for people to manually prepare the same reports repeatedly.

Scheduled reports can be delivered as PDF dashboards with summaries and the original query through Email and WhatsApp.

Brings business intelligence directly to decision-makers where they already work.

Supports connections to PostgreSQL, MySQL and Microsoft SQL databases using read-only credentials.

Allows organizations to use their existing data infrastructure without requiring data to be migrated into another system.

Administrators can provide questions and optionally verified SQL so Vidyanta can learn reusable query patterns and business-specific logic.

Improves the relevance and accuracy of future answers for the organization's actual data environment.

Administrators can determine exactly which users can access individual connected databases.

Helps enforce data-access boundaries and ensures users only query information they are authorized to access.

Administrators can create users, assign roles, promote/demote administrators and remove accounts.

Provides controlled access to the platform and keeps administrative privileges limited to appropriate users.

Tracks chats, queries, logins, token consumption and usage by users and databases.

Gives management visibility into adoption, activity and AI usage.

Admin dashboards show tokens used and associated costs, with activity-level visibility.

Helps organizations monitor and manage AI consumption and expenditure.

Provides visibility into CPU, memory, database connections, uptime, response time and system-status indicators.

Enables administrators to identify potential performance or infrastructure issues early.

Combines users, databases, connections, analytics, activity, training and settings within one administration environment.

Gives IT and management a single control point for governing the organization's AI data platform.