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THE MODELSPATIO·TEMPORAL / URBAN

A foundation model for how cities move.

LLSTM learns how a city moves: demand, riders, weather, and time, woven into one spatio-temporal field. It holds the city as it is and as it is about to be, acts on it, and grades itself on every decision. Inside the system →

Sees

The city as it is and as it is about to be: every rider, every order, every store, and the hour ahead.

Acts

Guides riders toward where work will land, opens capacity ahead of demand, reaches the fleet where it runs thin.

Learns

Every decision graded against a twin of the city and written down. Models are replaceable; the record is not.

Every decision writes a sentence: what the city looked like, what it did, what happened. Movement, tokenized into a language a model can learn. The destination is a model that speaks the language of mobility natively.

THE NETWORKPUNE / 18.52N 73.86E

Its first live network: Dispatch.

The model runs a real fleet in Pune, with national brands routing live demand. It decides what each rider's hour is worth. Riders earn more per hour than on any platform in India, profitably. Brands get more delivered per rider.

TELEMETRY · TRAILING 30 DAYSMEASURED / JUL 2026
2.4M+
DEMAND EVENTS OBSERVED
6×
DELIVERIES, MONTH OVER MONTH
9
NATIONAL BRANDS LIVE
24/7
TWIN GRADING DECISIONS

Measured on the network: Pune, trailing 30 days, July 2026.

LIVE WITHDEMAND / ONDC + DIRECT
Swiggy BigBasket Zepto Apollo Pharmacy Tata 1mg Rebel Foods uEngage

Swiggy Food and Instamart, Wellness Forever, and more. Demand reaches us over the ONDC network and through direct integrations.

WHAT THE INTELLIGENCE RUNSLAST MILE / END TO END

Last-mile delivery, end to end.

QUICK COMMERCEFOOD DELIVERYPHARMACYGROCERYECOMMERCE

Demand forecasting

Order volumes by zone and time window, predicted before they land.

Supply planning

Shifts and slots opened where the forecast says the work will be.

Rider positioning

Riders moved ahead of demand, not after it.

Smart allocation

The right order to the right rider, decided in real time.

Earnings optimization

Every decision weighed by what it does to a rider's hour.

Twin-tested decisions

Policies proven against a twin of the city before they reach the street.

Tracking & visibility

Live order status from assignment to doorstep.

Rider operations

Onboarding, verification, and transparent payouts.

WHO ARE YOUBRANDS / RIDERS / INVESTORS

Brands

More delivered per rider-hour. Capacity that holds at peak, without inflating the fleet.

Route demand with us →

Riders

Earn more per hour than anywhere else. And when the system is wrong, you don't pay for it.

Ride with us →

Investors

Riders are where we start. The same intelligence learns everything that moves.

Talk to us →