MOTION DATASET · FIELD NOTEBOOK

no. 584433

Property of: Investors & Partners

RTIH, Tirupati · AP Incubated 2026

Hyderabad · 2025

Vahini
Technologies

Every AI company is built on data. We are building the world's first longitudinal handwriting-motion dataset, collected from real humans writing on ordinary paper. The pen is how we collect it; the dataset is what we own.

Open the notebook →

MADE IN INDIA

INNOVATE

PAGE i

Contents

{{ n.num }} {{ n.label }}

వందే మాతరం

{{ n.num }} {{ n.label }}

THE PROBLEM

India's first handwriting-motion dataset, a first in the country's history.

see what it solves →

one signal → many products ✎

CHAPTER 01 · THE PROBLEM

The data nobody is building

THE HUMAN COST

Children spend years failing to form letters. Teachers grade by eye. Therapists track recovery on gut feel. Handwriting struggle is everywhere, and invisible to software.

THE ROOT CAUSE

Machines can read a finished page, but none can see how the hand moved to make it. The data linking movement, feedback and improvement over time simply does not exist.

THE OPENING

Build that dataset and the unsolvable turns routine: objective coaching, early screening, generative handwriting. Own it now, or watch it get built without us.

1ST IN INDIA

No one is collecting how humans learn to write. We are the first.

fig. 1 · why the data wins

EVERYONE TODAY

App

→

Reports

a dead end

THE PRIZE · NOBODY IS BUILDING IT

Longitudinal motion + outcome dataset

movement, intervention & learning, over years

↓

Handwriting foundation model

↓

Education · rehab · robotics · tutors

thousands of future AI apps

OpenAI didn't win with ChatGPT. It won with the dataset underneath it.

CHAPTER 02 · WHY NOW

Why the window is open

{{ w.y }}

{{ w.t }}

{{ w.d }}

fig. 2 · the data that's already claimed

Every modality has an owner, except one

TextCommonCrawl · Books

ImagesLAION · ImageNet

VoiceLibriSpeech · podcasts

Handwriting motionunclaimed

There is no scrape for how a hand moves on paper. It has to be collected, by us, now.

CHAPTER 03 · THE MOAT

Why no one can copy it

Apple, Google and Samsung all have handwriting samples. None of them have what connects the samples together.

WHAT ONLY WE CONNECT

Motion, how the hand actually moves

+Teacher feedback & interventions

+Exercises the writer practised

+Improvement over months and years

+Age, language & learning stage

=A longitudinal learning trajectory

Why can't they just do it? A balanced motion corpus can't be scraped, it must be physically collected: pens, field teams, per-pen calibration, signed consent, school partnerships and longitudinal tracking over years. That is the moat.

WHAT THE FOUNDATION MODEL POWERS

Many applications, one model

Banking & fraud

Signature & behavioural biometrics. Motion can't be forged like a shape can.

Health screening

Fine-motor biomarkers studied for Parkinson's, dysgraphia & stroke recovery.

Identity & auth

Behavioural biometrics, plus bot & liveness detection. Human motion is hard to fake.

EdTech at scale

Literacy & handwriting assessment for millions of learners, in their own script.

Generative & robotics

Teach machines to write like a human hand, the ground-truth no scrape can give.

Motion SDK

License the engine. Partners build on our motion API, no hardware required.

One dataset, many applications, entered in sequence (see Go-to-Market). The pen seeds the data; the data is the company.

CHAPTER 04 · COMPETITION

Everyone reads. No one records.

Strong players recognise finished handwriting. None capture the motion on ordinary paper, over time, in Indian scripts.

player

reads
writing

captures
motion

longi-
tudinal

on
paper

{{ r.name }}

{{ r.note }}

{{ c.g }}

✓ yes~ partial✗ no

WHY THE GAP STAYS OPEN

Their incentives point the other way

Big Tech sells screens

Their handwriting lives on glass. Ordinary-paper motion has no place in an iPad or Pixel roadmap.

Researchers stop at the paper

STABILO's OnHW proved the method, then published and moved on. No balanced corpus, no Indian scripts, no product.

AI labs only have images

OCR and vision models read pixels. They have no way to synthesise the motion they never recorded.

We compete on the one column no one else fills: balanced motion on paper, over years, in India's scripts.

CHAPTER 05

How Vahini Works

Vahini is a normal-looking pen that understands how you write. It turns the motion of your hand into meaning, then coaches you, all on ordinary paper. (The sensor engineering lives in Patents & Specs.)

{{ s.n }}

{{ s.t }}

{{ s.d }}

fig. 2 · dual-IMU pen

● IMU-A (tip) ● IMU-B (barrel)

Two sensors work together so the pen reads true motion on any surface, the hard engineering that makes the simple promise above possible.

CHAPTER 06 · WRITING DNA

Writing DNA

Every page produces a 20-factor signature, as distinct as a fingerprint. Today it is scored by computer vision from a simple scan; the pen's motion research makes it deeper still.

{{ f }}

one signature, twenty factors

WHY THE NUMBERS MATTER

Specs that earn their keep

208 Hz

Handwriting changes within milliseconds; this catches a shaky stroke or a hesitation a camera never sees.

16 axes

Pressure, tilt, speed and rhythm, all from a single natural stroke, not a flat 2-D image.

any paper

No tablet, no dot-pattern, no app to learn, the page you already use is the only requirement.

Six scripts

{{ x }}

the real Vahini pen · sensor board, USB & barrel

CHAPTER 07

Patents & IP

GRANTED

INDIAN PATENT

No. 584433

“Handwriting Recognition with an Intelligent Ballpoint Pen using IMU Sensors.” 20-year protection.

FIG. 1 · SENSING ASSEMBLY · PATENT 584433

① Dual IMU · gyro + accel ② Magnetometer ③ MCU · on-pen recognition ④ OLED display · live readout ⑤ Tip-force sensor

Pending applications

PENDING

#{{ p.no }}

{{ p.t }}

Credentials

{{ c.k }}{{ c.v }}

HONEST SCOPE

The patent protects the hardware sensing method. It does not cover the dataset, the AI models or the learning loop, those are defended by execution and data, not paper.

protected through 2045

CHAPTER 08 · GO-TO-MARKET

Land soft, expand hard

A free analyser earns trust with parents, then we climb: classrooms, districts, states, and finally enterprise licensing.

{{ g.n }}

{{ g.t }}

{{ g.d }}

fig. · every stage feeds the dataset

The flywheel

More writers use the free analyser

↓

Each page adds balanced motion data

↓

A better model = better coaching

↓

Schools pay → funds more collection

The coaching product and the dataset grow each other. Distribution and the moat are the same motion.

CHAPTER 09 · TRACTION

Traction so far

Small but real: a granted patent, recognition, a live product in the field, and open pre-orders.

★

{{ r.t }}

{{ r.d }}

Milestones

{{ m.y }} {{ m.t }}

CHAPTER 10

The Team

17 years in embedded systems, a granted patent, and three years living this problem, why this team can collect what others won't.

{{ t.i }}

{{ t.name }}

{{ t.role }}

“It began in May 2023 with one question. Could technology preserve the natural act of writing while making it more accessible?”

Malli Kosuri, Co-Founder & MD

it started with one question.

CHAPTER 11 · HARD QUESTIONS

The questions you'll ask

Answered before you have to ask them.

{{ q.n }}

{{ q.q }}

{{ q.a }}

…continued

{{ q.n }}

{{ q.q }}

{{ q.a }}

CHAPTER 12 · THE VISION

Where this goes

{{ v.tag }}

{{ v.t }}

{{ v.d }}

ONE SENTENCE TO REMEMBER

The pen is the instrument.
The dataset is the company.
The model is the future.

One motion signal, collected from real hands on ordinary paper, becomes the layer every machine uses to read, verify and generate human handwriting.

CHAPTER 13

Events & News

{{ n.date }}

{{ n.t }}

{{ n.d }}

catch us at the next demo!

out in the field

Vahini in action

DeepTech Award · Vizag

T-Hub, Hyderabad

ni-msme, Hyderabad

IIT expo · booth #72

MR Hub

CHAPTER 14

Get in touch

{{ c.k }} {{ c.v }}

drop us a line, we reply fast!

Let's talk.

Investors and partners, we'd love to show you the pen writing live. Drop a line and we'll set up a demo.

info@vahinitech.com
vahinitechfirm@gmail.com

Not the end.
A beginning.

This notebook closes; the company opens. One motion signal, the foundation for handwriting, digital paper, learning, healthcare and research, begins here. Come build it with us.

↺ Back to the cover

Vahini Technologies

Hyderabad · vahinitech.com

RTIH, Tirupati · AP Incubated 2026

Made in India