🔧 Tool under development — private alpha (invite-only)

Agni Tanmaya Behera — Founder, Nilachakra Labs

AI-driven web analytics made simple. We help universities and organisations understand real visitors, improve outreach, and increase enquiries — without the technical jargon. Serving institutions in Odisha and across India.

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What we do (in plain words)

We turn website activity into clear, usable guidance for your team. Instead of long reports with numbers you don’t use, we give you simple recommendations: who to contact, what pages to fix, and when to run campaigns to get more students or visitors.

Understand who visits:
We group visitors into meaningful categories — for example: likely applicants, casual browsers, repeat visitors — so you know where to focus recruitment effort.
Improve conversion (more enquiries):
We predict which visitors are most likely to take action (inquire or apply) and suggest small website or messaging changes that increase responses.
Plan better timing:
We forecast when interest will rise (e.g., before admission deadlines or events) so you can schedule outreach at the right moment.

Why this matters

Traditional analytics show "what happened." This system answers "who is likely to convert," "when interest will peak," and "what content to prioritize" — turning analytics into a strategic decision- support tool for universities.

Typical results our clients see

  • Clear prioritization of high-potential leads — contact these first.
  • Improved webpage layouts that increase form submissions.
  • Better timing of campaigns, increasing enquiries around deadlines.
Copyright Notice — Protected Work
The preprint and all content on this page are the copyrighted work of Agni Tanmaya Behera. Unauthorized copying, redistribution, reproduction, or commercial use is strictly prohibited. This work has been filed with the Copyright Office (Diary No. LD 42796/2025-CO) and published as a preprint (DOI: 10.5281/zenodo.17231544). Any infringement will be subject to legal action under applicable copyright laws; disputes will be governed by the laws of India and the courts of New Delhi.

Research Foundation — Preprint

The Nilachakra Labs platform is founded on academic research. Below is the preprint that describes the AI models, visitor categorization methodology and the strategic outreach framework used in Bhrahmashtra.

Paper: Artificial Intelligence-Powered Web Analytics Tool for Universities: Visitor Categorization & Behavioral Data Analysis for Strategic Outreach.