Any electricity bill. Any Indian language.
Nine fields, structured in seconds.
Customers upload a bill as a PDF or a photo, in whatever format their DISCOM issues it and whatever language it's printed in. OCR and an LLM read the page like a person would, then return consumer number, amount, arrears, sanctioned load and five more fields as clean, structured data — ready for underwriting, KYC or onboarding.
Sample facsimile — cycles automatically, or pick a language above.
One assistant. Two ways to reach it.
Full pharmacy commerce, start to doorstep.
Customers text or call — same agent either way. It answers questions on medicine brands and dosage, checks live stock and price, builds the cart, takes the order and confirms delivery, without ever handing off to a human.
From job description to final decision.
One AI-run hiring pipeline.
Three AI agents hand off to each other: one reads the JD and screens resumes, one runs the voice interview and scores the answers, and one sits in on the final Google Meet round to help finalize the shortlist.
Click a stage below to jump there and watch it play through. It also runs on its own.
Every listing has a real price. We find it before we make the offer.
Our valuation model reads a listing the way an experienced buyer would — amenities, locality, comparable sales, and demand signals — and returns a fair-market price in seconds. That tells our acquisition team whether an asking price is undervalued, fair, or inflated, before a single rupee changes hands.
- 01
Scan the listing
Amenities, condition, locality and title data are parsed automatically.
- 02
Score against comps
The model weighs recent sales and demand to output a fair-value range.
- 03
Negotiate with confidence
Acquisition offers are anchored to the model, not the asking price.
Asking price
₹1.42 Cr
AI fair value
₹1.42 Cr
Every player tracked at once —
identity intact through every occlusion.
It's not one player in isolation — the model holds a position and identity for every player on the pitch, frame by frame, for the full 90 minutes. The hard part is occlusion: when one player crosses in front of another, a tracker can lock onto the wrong box once they separate. Re-ID fixes that by matching each player back to their own visual signature the moment they reappear — for every player, every time it happens.
Watch #14 cross #7, then #22 cross #10 — two occlusions, tracked independently.
Trusted by forward-thinking teams
