In many organizations, data lives in silos—locked away in complex databases that only a few analysts or engineers know how to query. What if you could access that data simply by asking a question in plain English?

That’s the core idea behind Adhyayan AI—a platform that turns everyday business questions into accurate SQL queries, instantly.

Solving a Common Bottleneck

It’s a familiar situation in most teams: someone from sales wants to know the revenue breakdown by product over the last quarter, or someone in operations wants to identify delivery delays by region. They either wait days for a data analyst to respond, or try to navigate confusing dashboards that don’t answer the real question.

Adhyayan AI eliminates this bottleneck. It lets any team member type a question like “Show me monthly sales by category for the last six months” and get the right SQL generated automatically—without knowing anything about database joins or schema structures.

What Makes Adhyayan Different?

Unlike basic AI query tools that rely solely on natural language processing, Adhyayan AI uses a multi-agent architecture. Each agent has a specific responsibility—understanding user intent, identifying the relevant tables, resolving joins, applying filters, and generating the SQL in a format that fits your enterprise standards.

This modular design makes it much more reliable and customizable than simple prompt-based tools. It doesn’t just guess—it understands.

You can explore the demo and read more at: https://www.adhyayan.ai

Built for Real Business Use

Adhyayan is designed for teams that work with real-world data—messy, inconsistent, or domain-specific. It supports:

• Enterprise-grade SQL generation for MySQL, Postgres, and Snowflake

• Column-level schema mapping using embeddings

• Hard-coded business rules, such as excluding test products or specific transaction types

• Support for JOINs, subqueries, aggregations, filters, and GROUP BY clauses—all without writing a line of code

For instance, a marketing analyst can ask, “Which campaigns generated the highest average order value in April?” and receive a full SQL query that respects schema relationships, table aliases, and aggregation logic.

Trusted by Growing Teams

Adhyayan AI is currently being used by data teams, business operations departments, and product managers in startups and mid-sized companies. Its ease of use means faster decision-making, and its accuracy means you can actually trust the answers you get.

It’s especially useful in sectors like e-commerce, logistics, and financial services—where non-technical teams often need to work with structured data.

Future Plans

While the platform currently focuses on Text-to-SQL, upcoming features will include:

• Querying PDFs and Excel files with natural language

• Glossary-driven business logic (e.g., “high-value customer”)

• Slack-based AI data assistant for team conversations

• Role-based data control for sensitive tables or columns

Final Thoughts

If your team is still depending on a few analysts to pull every data report or write every SQL query, Adhyayan AI can change that. It makes structured data truly self-service—no dashboards, no wait time, just natural questions and fast answers.

To try it for yourself, visit Adhyayan AI and request early access.