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Platform Feature

Talk to Your Data

Ask questions in plain English or Hindi and get instant, accurate answers from your field data.

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Talk to Your Data
Agentic AI Pipeline
How many beneficiaries registered in Sanand block have completed higher secondary?
Found 1,240 beneficiaries matching this criteria in Sanand block:
Male Count
542 (43.7%)
Female Count
698 (56.3%)

Why it matters for institutional data

Skip the data analyst. Our RAG + LLM architecture allows program managers to query their entire survey database using natural language and get immediate, accurate answers.

Zero-SQL querying for non-technical users
Support for English and Hindi natural language
Immediate answers to complex trend questions
Privacy-first AI architecture

Key Capabilities

Conversational Insights

Just type 'Which districts showed the most improvement in health scores since last quarter?' and get a visualized answer instantly.

Agentic AI Intelligence

Our autonomous AI agents can reason through complex datasets, performing multi-step analysis and fetching exactly the data you need for the front end, from state-wide trends to specific field remarks.

Context-Aware RAG

The AI understands your specific survey schemas and institutional context, providing answers that make sense for your specific programme.

Common Questions

Is our data sent to public AI models?

No. We use a privacy-first RAG (Retrieval-Augmented Generation) architecture where your raw data never leaves the secure platform environment.

How accurate are the AI answers?

The engine is grounded in your actual database records. It provides the data points alongside the reasoning, allowing for easy verification of every insight.

Ready to see it in action?