Individuals
Live courses
Learn the method through real examples and guided practice.
Explore coursesWhy Medhova exists
A focused practice for a specific problem.
AI can make work faster and more polished. It does not remove the need to verify evidence, boundaries and consequences.
Vinod Narayanswamy · Founder
Founder-led, deliberately
Vinod Narayanswamy
Vinod built Medhova around a recurring delivery problem: work can appear complete while its evidence, scope or assumptions remain unsafe.
Medhova turns that problem into an applied learning discipline. Participants bring realistic artefacts, inspect what appears trustworthy and practise choosing what to Ship, Check or Own.
The practice is part of VNS Ventures and is based in Bengaluru, serving a global live-online audience.
Operating principles
Evidence over theatre. Practice over performance.
01
Evidence over theatre
Claims should be inspectable, including Medhova’s own.
02
Real work over simulation
Judgment becomes useful when it survives workplace context.
03
Small before large
Small cohorts create room to examine reasoning, not just answers.
04
Accountability remains human
Generation can be delegated. Consequence cannot disappear.
One discipline · three expressions
Individuals, applied cohorts and teams.
Applied
Spec-to-Ship
Use verification across one real deliverable from framing to capstone.
Join the waitlistOrganizations
Diagnostics and advisory
Identify where AI-assisted work needs proportionate verification and ownership.
Discuss your team