Handwriting Intelligence
20-factor analysis and personalised practice across five Indic scripts, live today.
Live Who buysSchoolsParentsCoaches Explore the productDeep-Tech · Dual-IMU Sensing + Motion Data · Made in India
One pen writes. One dataset grows. Every page makes the platform smarter.
Two priorities, one loop. The patented Vahini dual-IMU sensor pen writes on plain paper and feels what no camera can see: pressure, pen angle, writing speed and pen-lifts. Every consented page grows the world's first Indic handwriting-motion dataset. This is not a lab project. The analyser is live today, and every new writer makes the platform smarter.
Live
Vahini
01 · Write The patented dual-IMU pen, on any ordinary paper.
Pressure Control
Pen Control
Smoothness
Writing Speed
Orientation
03 · Learn Every page makes the models sharper.
वाहिनीहिन्दी
వాహినితెలుగు
வாஹினிதமிழ்
ವಾಹಿನಿಕನ್ನಡ
വാഹിനിമലയാളം
VahiniEnglish
Consent-first pages collected +1 page
every age · left & right hands · five Indic scripts
04 · Grow Every page grows the dataset no one can scrape.
Handwriting IntelligenceLive
Digital NotesIn dev
Learning AnalyticsPilot
Motor AssessmentResearch
Research DatasetGrowing
05 · Apply Real products in real hands. Every writer feeds the loop again.
Hardware
208 HzMotion Capture
16-AxisMotion Sensing
Any PaperWorks anywhere
Platform
Live AnalyserHandwriting Intelligence
Motion DatasetGrowing every day
5Indic Scripts
Trust
Indian PatentNo. 584433
Consent-FirstEvery page opt-in
Many products, one motion model
One signal. Six products today. Hundreds tomorrow.
Every product here runs on the same proprietary handwriting-motion dataset and one model. Handwriting analysis is the live proof; each new product both ships value and feeds more motion data back into the moat, so the platform compounds instead of being capped by any single product.
Digital Notes
Write on any paper, screen-free, and watch it digitise in real time.
In dev Who buysStudentsProfessionalsEnterprises Explore the productLearning Analytics
Classroom-level insight into how students write, for better outcomes.
Pilot Who buysSchoolsDistrictsGovernments Explore the productMotor Assessment
Early motor screening and intervention, studied with clinicians.
Research Who buysTherapistsHospitalsClinics Explore the productSignature Intelligence
Verify how a signature was written, not just how it looks, from the motion itself.
Next Who buysBanksInsuranceLegal The roadmap, in the notebookDeveloper SDK
Motion intelligence as an API, build the future on Vahini for partners and researchers.
Future Who buysDevelopersPartnersAI labs Explore the API planOne pen · one signal · many markets
The pen is the core. Each market is the same signal, put to work.
Vahini came first: screen-free, paper-based, motion-aware. The 20-factor analyser exists to back the pen with a product people can use today. From there, the same motion signal reaches market after market, no new hardware, no new data.
VahiniThe core
A dual-IMU sensor ballpoint that writes on ordinary paper and captures the motion of every stroke at 208 Hz, screen-free.
The source every market below draws from · Patent No. 584433HandwritingLive today
20-factor analysis & personalised practice across five Indic scripts, the product that backs the pen.
Coaches, parents, students & schoolsDigital notesIn build
Class notes written on paper, reconstructed from the IMU signal into a digital page. No tablet, no app open, no screen-time.
Students, schools & anyone who thinks better on paper · our founding ideaAssistive & screeningResearch
Support for writing difficulty and the early motor signals behind it, studied with clinicians, never a standalone diagnosis.
Special schools, occupational therapists, accessibility & research partnersThe datasetThe moat
India’s consented, multi-script handwriting-motion data, a defensible asset and a future licensing line.
What makes every market above hard to copyMarkets shown to illustrate scope; size each with primary research before external use.
Traction & recognition
Award-winning, patented, and already live.
Granted IP, government recognition and a live product, plus where we've shown Vahini. Newest first, updated as we go.
Latest updates
Where the work is going.
Notes from the research frontier and moments from the road, as we build the pen, the dataset and the science behind them.
Reconstructing handwriting from motion alone
A pen only touches the paper part of the time. Telling writing from hovering is the heart of motion-based handwriting.
Read the post
DeepTech Innovation Award winner
Recognised for the dual-IMU pen and the 20-factor analyser, alongside a granted patent and DPIIT recognition.
See the recognition
Showing the pen, hand to hand
From T-Hub to IIT and MSME forums, demoing how motion on ordinary paper becomes an actionable handwriting report.
See where we’ve beenFrom the road
What people said at our events.
Notes left in our book by educators, founders and students who tried Vahini in person.
Proven first in handwriting · Live today
Proof the signal becomes real insight.
Our handwriting solution is live now. Upload any handwritten page and get a 20-factor analysis with personalised exercises, across five Indic scripts. It's the working proof of everything the platform promises.
The asset nobody else holds
India’s consented multi-script handwriting dataset.
Every analysed page and every pen-stroke, captured with explicit consent, builds a corpus that doesn’t exist anywhere else: real handwriting motion across five Indic scripts and many ages. A camera company can scrape finished pages; only Vahini owns the motion behind them.
Consent-firstCollected only with explicit consent, never quietly scraped.
Motion, not contentWe store the signal, pressure control, pen control, writing flow, never the words written.
DPDP-aligned, India-processedPrivacy by design under the DPDP Act 2023, a sales advantage, not just compliance.
The corpus
Five scripts, two signal layers, one compounding moat.
Englishहिन्दीతెలుగుதமிழ்ಕನ್ನಡ
The technology
Built on real hardware, on real paper.
The pen reads motion, not the page, so it works on whatever paper you already use.
Dual-IMU sensing
Two inertial units (one 9-axis with magnetometer, one 6-axis) plus a tip force sensor stream 16 axes at 208 Hz, Kalman-filtered.
Works on any paper
No dot-pattern, no tablet, no special notebook. The signal comes from the pen, not the page.
Five-script modelling
Motion models tuned across five Indic scripts, the basis of a consent-first motion dataset.
Patented
Indian Patent No. 584433, DPIIT-recognised.
One pen. Regular paper. Endless signal.
Try the analyser that's live today, or help build the platform behind it.