Results & mentorship
We publish proof, not adjectives. Navasankalpa's first cohort writes AIAPGET 2027 — until those outcomes exist, here is everything you can verify today, starting with the AIR 1 who mentors it.

After completing his BAMS, Dr. Aniket Patil secured All India Rank 1 in AIAPGET 2025 — the same exam this cohort is preparing for. At Vedas for Vaidyas he leads the weekly live mentorship layer and teaches Sushruta Nidanastana, pairing a recent topper's exam instinct with specialist faculty depth.
Content builds knowledge. Mentorship builds percentile.
Weekly live sessions on the questions that actually separate ranks — shloka anchors, assertion–reason traps, multi-statement logic.
Focus areas before major mocks, then mistake taxonomy after them — knowledge gap vs silly miss vs time panic.
Option elimination, pacing, and negative-marking discipline from the person who just scored AIR 1 on the same exam.
Real-time academic interaction each week — mentorship is a live layer, not a recorded playlist.
Every number below is documented on this site — verify it yourself.
AIR 1 (2025)
Mentorship led by Dr. Aniket Patil
50+
Professors on the faculty bench
978
Academic units in Cycle 1
426
Major Samhita chapters
Navasankalpa Cycle 1 runs 21 Sep 2026 → 05 Apr 2027 — 978 academic units across 507 subject topics and 426 major Samhita chapters, on a published NCISM-aligned calendar. Open /calendar to inspect it.
On results, honestly
Navasankalpa is a new, flagship cohort — our first students sit AIAPGET 2027, and we will publish their outcomes here when results are declared. We would rather show you a verifiable mentor, a public faculty wall, and a dated calendar than borrow a topper gallery we did not train.
Judge us on what exists today: watch the decoding demos, open the calendar, check the faculty directory, and take the free mock. If the system holds up, the results page will too.
Next step
Join the Navasankalpa waitlist for the AIAPGET 2027 cohort — weekly AIR 1 mentorship, 50+ specialist professors, and a calendar that publishes before the results do.