Goods move when there is a vehicle to move them — so we supply the vehicle, not just the app.
Every logistics marketplace in India competes for the same scarce thing: drivers who already own a commercial vehicle. We take both sides of that. Bring your own and keep the fare minus a published commission — or lease one of ours by the day, drive it yourself, and keep the fare minus a published lease fee. A licence without a down-payment stops being a dead end, and supply stops being something we bid for against everyone else.
The constraint in Indian logistics is not demand. It is vehicles with drivers in them.
Demand for same-day and intercity goods movement is not in doubt — a kirana store, a D2C brand and a manufacturer all have loads to move today. What every platform is actually short of is supply: someone with a commercial licence and a vehicle and current paperwork. That person is being courted by four apps at once, so acquisition is expensive, loyalty is nil, and the marginal driver goes to whoever paid the most incentive this week.
Meanwhile the far larger group — people who can drive, want the work, and cannot raise a down-payment on a ₹6 lakh tempo — is not served at all. Financing exists but is punishing, and no platform treats access to a vehicle as part of its own product. That is the asymmetry worth attacking.
→ Supply is rented, never built
Incentive-led acquisition buys a driver for a week. It creates nothing that persists, and every competitor can outbid it tomorrow with the same cash.
→ A licence without capital is a dead end
The person who most wants the work is the one told to come back when they own a vehicle. Leasing turns that refusal into onboarding.
→ Opaque deductions drive drivers off
A commission nobody can compute before accepting a trip is the loudest complaint in the category. Publishing it is cheap for us and decisive for them.
→ Fragile addressing, everywhere it matters
Landmark directions and informal addresses outside the metros are exactly where commercial mapping data is weakest — and exactly where a failed delivery costs the most.
Own the supply side, and the demand side stops being a bidding war.
One dispatch engine, one published rate card, and two doors onto supply instead of one. Both doors lead to the same dealer console, the same compliance checks and the same trips — the only difference is who owns the vehicle, and what is deducted before the driver is paid.
01 Bring your own vehicle
Register a two-wheeler, tempo or truck. Nothing to pay to join. Keep the fare minus a commission that is visible before the trip is accepted — the deduction every other platform makes you reverse-engineer at the end of the week.
02 Lease one of ours
A platform vehicle by the day or week, driven by you, against a refundable deposit and no down-payment. A flat daily fee, not a share of earnings — so a good day never costs more. Every rate and the break-even kilometres are published on the driver page.
03 Why this compounds
A leased driver's supply is ours, not rented from the market each week. It cannot be outbid by an incentive, it gives us a fleet whose paperwork we already control, and it converts the largest untapped group in the category — licence, no capital — into working supply.
04 One record either way
The registry already tracks RC, insurance, fitness, permit and PUC per vehicle and licence class per driver, and refuses dispatch when any of it lapses. A leased vehicle is the same row with a different owner.
One job. Three vehicles. One tracking number.
Freight is the category with the most handoffs, so it is the one worth showing in full. A farm gate outside a hill-country village has no paved road and no formal address — but it has a harvest ready to move. Here is what one job looks like end to end when one platform runs the whole relay instead of three vendors handing it off blind. The day-hire and hands-only categories use the same record; they just have fewer legs.
No paved road, no formal address
A landmark and a phone call is the only way in today — that's the pickup point, not a blocker.
Dirt track to the district bus stand
Same tracking number the whole way — the handoff ahead is a database update, not a phone call to a stranger.
District town to the highway depot
Vehicle-matching already knows the next leg needs a truck, not another bike — no re-booking, no re-explaining the shipment.
Highway to the nearest bonded warehouse
Delivered, proof captured, ready for export processing.
One shipment record, farm gate to warehouse door
Three vehicles, one tracking number, zero visibility gaps between legs.
Two-wheeler, bus, and truck today. The same relay model is why adding rail or air legs later is a new row in the matching table — not a new product. Give us a start point and an end point; we connect every mode in between.
Asansol to Delhi. Kochi to Guwahati. Same dispatch layer, every time.
The relay on the previous page isn't one lucky route we happened to map well — it's the same matching and tracking logic running underneath every corridor in the country, coast to coast, village to metro.
Five live corridors shown, seven cities tracked in this build — the map grows with every city we launch in, not with a new integration for each one.
Not a mockup. A working prototype, end to end.
Two systems are live in this build right now — the dispatcher's control tower, and the order lifecycle underneath it. Early stage, honestly labeled: this is architecture and a working prototype, not a production fleet with paying customers yet.
Every delivery we run makes the next one cheaper and more accurate.
We start on commercial maps like everyone else. The difference is we never just consume them — we log them, from day one, and the gap between what the map predicted and what actually happened on the ground becomes ours.
Full-spectrum coverage
One shipment model spans two-wheeler to cargo ship. Competitors specialize in one vehicle class; we're the only system that follows a shipment across all of them.
AI-driven ETA as a headline metric
Most incumbents treat ETA accuracy as a footnote. We're instrumenting predicted-vs-actual from the first delivery, so it becomes our measured, provable differentiator.
Our own map, built from real deliveries
Every GPS trace and every address correction is proprietary signal generic map vendors don't have — especially outside major metros, exactly where they're weakest. It compounds into a routing layer no one can buy off a price list.
Infrastructure that understands how India actually addresses itself
- Landmark directions and informal addresses get corrected by every real delivery, not left to a map vendor that's never driven the lane.
- Non-metro towns get the same live-tracking, same-day-visibility infrastructure that today only exists in metro-serving apps.
- Driver safety — SOS, drowsiness warnings, weather-aware routing — isn't an enterprise-only feature here; every driver on the platform gets it.
Enterprise-grade dispatch, without an enterprise team to run it
- One integration point instead of separately managing a courier network, a van fleet and a trucking broker.
- A published rate card, so a shipment can be budgeted before it is booked rather than argued about after.
- Verified licences and current paperwork on the supply side, so the vehicle that arrives is legally able to carry the load.
The side of the market everyone else only buys from
- Two ways in, not one: register the vehicle you own, or lease one of ours and drive it yourself.
- A flat published lease fee rather than a share of earnings, with break-even kilometres stated, so the day can be judged before it starts.
- Rejections carry a written reason, review status is visible, and trips are matched rather than auctioned down.
One category proven before the next one starts.
To be explicit, because a pitch that blurs this is worthless: goods movement with driver-owned vehicles is what is built today. Leasing is published but not bookable — allocation runs through an ops conversation, and nothing in the backend yet models a platform-owned vehicle on loan. Everything past that is stated as a phase, not a feature.
Auth, data models, design system, base map
Done. Shared platform every later vertical builds on.
Last-mile MVP: order API, customer/driver/shipper/dispatcher apps
Order lifecycle running end to end today; role-based app screens underway.
AI layer: ETA model, route optimization, fraud detection
Trained on the predicted-vs-actual data captured from Phase 1 onward.
Leasing, as a real product rather than a published rate
Platform-owned vehicles in the data model, deposit handling, allocation and return, and the utilisation reporting that decides whether a leased vehicle earns its keep. This is the phase the round is for: the rates are already published on the driver page, and the argument stands or falls on whether a leased driver out-earns an incentivised one.
Wider hire: machines by the day, and hands
Tractor, tipper and JCB as day-rate units; then loading crews, cement and metal work, a house shift, a bag from the station. An order carrying a skill and a shift length instead of a vehicle class and a weight. Same record, same rate card, same proof someone turned up — which is the whole reason it is a phase and not a second company. Deliberately after leasing: one supply-side model proven before a second is started.
People on time, warehouse AI, self-hosted routing
Scheduled passenger runs where punctuality is the promise. Plus our own map graph, dense enough to be the primary routing source in the highest-volume cities.
Raising a seed round to take Phase 1 from working prototype to a single-city launch.
Funds go to: closing out goods movement (payments, notifications, the customer and dealer consoles), a founding city launch, and a first tranche of leased vehicles in that city — because the claim that owning supply beats renting it is only worth anything once a leased driver's numbers can be put next to an incentivised one's.
This page is a working draft — round size, timeline and milestones are placeholders for the founder to fill in with real figures before it goes to any investor.