Deep-Tech Sports Haptics

The Standard for Haptic Officiating

Vyanika Innovations is a deep-tech startup pioneering precision haptic sensing for sports. We're eliminating human error from high-stakes calls by embedding cutting-edge sensor matrices directly into playing surfaces.

Move across the court — every ripple simulates a footfall on the sensor matrix.

A Vyanika sensor court: a translucent playing surface with an embedded pressure-sensor matrix.

Recognized by

Logos indicate factual affiliation only, not an endorsement of Vyanika by these organizations.

The Problem

Cameras can see the game. They cannot always see the truth on the mat.

Kabaddi’s hardest calls — a foot on the line, which foot landed first, a body pinned under three others — still rest on human judgment made at full speed. That means disputes, delays, and matches decided by a call nobody can review.

45%

of Pro Kabaddi Season 12 matches were decided by 5 points or fewer. One wrong call can flip a result.

Source: PKL Official, prokabaddi.com, November 2025

  • 01 Foot position and boundary-line calls are hard to judge at full speed.
  • 02 In a pile-up, the contact is hidden from every camera angle.
  • 03 Kabaddi has no dedicated technology-assisted review system.

In the Press

Covered by the national press.

“an intelligent mat system that detects player contact in real time, identifying touches, tackles and scoring events, and could thus help the referee make accurate decisions.”

Reported in The Hindu

NAIN conclave showcases student innovation from smaller towns

Shilpa Elizabeth, Bengaluru

View the full page

Recognition

Backed by India's deep-tech ecosystem.

Winner

850 +

applicants (1 of 11 winners)

Winner — BOLPU 2.0 Innovation Challenge

Bolpu (led by MP Capt. Brijesh Chowta)

Selected as 1 of 11 winning teams from 850+ applicants as the only student-led team in MP Brijesh Chowta's district-wide innovation initiative to position Mangaluru as a leading startup hub.

1st Prize

1

prototype demo rank

1st Prize — NAIN Innovation Conclave 2026

IIIT Bangalore

Ranked 1st in prototype demonstration among K-Tech incubated startups; selected teams showcased at IIIT Bangalore.

1st Place

130

semi-finalist teams

1st Place — NAIN 2.0 2025

K-Tech NAIN

Ranked 1st among 130 semi-finalist teams at college level; secured ₹5 lakh in funding and selected among 10 teams for K-Tech NAIN incubation.

Top 50

50

teams nationwide

NSRCEL Pre-Incubation — IIM Bangalore

NSRCEL, IIM Bangalore

Selected among Top 50 teams nationwide for IIM Bangalore's NSRCEL pre-incubation program.

Semi-Finalist

3

Stage — in-person pitch

Semi-Finalist — Elevate Nxt 2026

Startup Karnataka

Advanced to Stage 3 in-person pitching round; presented at the Startup Karnataka office, Bengaluru.

Patent Filed — Patent-applied for the core sensor matrix and detection method.

Products

One sensor platform, four applications.

Live Pilot

Smart Kabaddi

A digital umpire built into the mat.

Sensors in the playing surface detect lobby-line crossings, bonus-line triggers and which foot touched the ground — the first sensor-based officiating system built specifically for Kabaddi. Targeting centimetre-scale boundary resolution with millisecond-level device sync, both currently in validation.

In Development

Wrestling Mat Integration

Boundary detection and scoring assistance.

Adapting our sensor matrix technology for Olympic wrestling mats with boundary detection and scoring assistance.

Coming Soon

Broadcast Analytics Suite

Pressure heatmaps for live broadcast.

Real-time pressure heatmaps and analytics overlay for live sports broadcasting and viewer engagement.

Coming Soon

Metaverse Haptic Layer

Haptic feedback for immersive Metaverse sports.

VR-ready haptic feedback system for immersive virtual sports experiences with real-world tactile response — translating mat pressure data into full-body raider locomotion in VR.

The Technology

A sensor matrix, not a camera.

Cameras watch from above, and in a pile-up the contact simply disappears. Our mat senses from below, at the point of contact, so it cannot be blocked, hidden, or lost to a bad angle — and it does not depend on the lighting in the venue.

Sensing Layer

Design target

Piezoresistive matrix

A pressure-sensing grid laminated beneath the playing surface. Exact material is still in validation.

Matrix Density

Frozen spec

256 nodes / tile

A 32×8 sensing grid per tile, scanned continuously across the covered surface.

End-to-End Latency

Design target

≤50ms (P95)

Design budget from footfall to referee device. Engineering estimate is ≈43ms worst-case — not yet measured on hardware.

Boundary Resolution

Pending validation

≤±1.5cm

Target spatial precision across the line. Validation testing is not yet complete.

Stack Thickness

Design target

≤10mm

Total sensor and protective stack, designed to preserve surface feel and player experience.

Durability

Frozen spec

Field-replaceable tiles

Wear risk is managed by design — replaceable tiles and pre-match auto-calibration — rather than a claimed cycle count. Long-run cycling validation has not yet run.

Anatomy of a Call

From footfall to referee device.

A digital umpire for Kabaddi: lobby-line crossings, bonus-line triggers, and which foot touched the ground — resolved automatically and in real time, at the edge, with no cloud round-trip in the critical path.

  1. 1

    Footfall

    A raider crosses the line. The sensing matrix registers a pressure change at the contact point.

  2. 2

    Local Sensing

    The sensor grid around the contact zone is read and filtered on-tile.

  3. 3

    Edge Decision

    On-mat hardware resolves the call locally — no cloud round-trip required.

  4. 4

    Device Sync

    The call reaches the referee's device, the ringside tablet, and the broadcast feed together.

Pending validation

≤50ms Target end-to-end latency (P95) — Engineering design budget ≈43ms worst-case, ~8ms margin. Not yet measured on hardware — validation pending.

Roadmap

From the court to the Metaverse.

Phase 1 · In Progress

Smart Kabaddi

A working sensor-mat prototype, built and demonstrated in a live Kabaddi setting.

  • Working prototype demonstrated (TRL 6)
  • Patent filed (patent-applied)
  • Shown to AKFI officials, referees and coaches
  • Next: full-court MVP

Phase 2 · Coming Soon

Wrestling & Volleyball

The same sensing layer, adapted to other lines and other mats.

  • Olympic wrestling mat integration
  • Wrestling passive-zone detection
  • Volleyball service-line and centre-line faults

Phase 3 · Coming Soon

Broadcast & Metaverse

Expanding our precision technology into new frontiers of sports and entertainment.

  • Broadcast analytics overlay
  • VR-ready haptic feedback layer

Team

Built by three founders.

Sheshaprasad Bhat

Founder & CEO

Leads product and business strategy — product development, go-to-market and customer engagement.

Samprith C Amin

Founder & CTO

Leads hardware and systems engineering — sensor architecture, embedded systems, AI/ML and the detection algorithms.

Abhishek

Founder & COO

Leads operations and strategic partnerships — field deployment, ecosystem development and execution.

FAQ

Common questions.

Does the sensor layer change how the mat feels underfoot?

That's an active design constraint, not an afterthought — we're targeting a total sensor-and-protective stack of 10mm or less, specifically so surface feel and player experience aren't affected. Still in validation.

Is it durable enough for real matches and repeated impact?

Durability is handled by design rather than a wear rating we can't yet back up: tiles are field-replaceable, and the system runs a pre-match auto-calibration. Long-run cycling validation is still in progress.

How fast is the system, really?

We're targeting 50ms or less end-to-end, from footfall to referee device, at the 95th percentile. Our current engineering budget lands around 43ms worst-case — a design estimate, not yet a measured result on hardware.

How does this compare to camera-based VAR systems?

The core difference is architectural: detection happens at the point of contact on the surface itself, so there's no dependency on camera line-of-sight or lighting conditions the way VAR systems have. It matters most in a pile-up — a camera looking down loses the contact under the bodies, while the mat is underneath it and still registers which foot is where. We're not publishing a cost comparison until we have real deployment numbers to back one up.

Get in Touch

Let's digitize the game together.

Whether you're a federation, a venue, or a broadcaster — we'd like to hear from you.