us → customer
Sales
Enquiry · quote · order · dispatch · collect
AI-native operating layer for manufacturers
Manufacturing runs on promises.
We built the system that keeps them.
Your teams, your suppliers and your customers — collaborating in real time on one live, connected thread.
- Intelligence that compounds
- Launch in weeks, not months
- One thread, total visibility
- Fits your ecosystem
Every factory is two businesses in one.
The commercial side
The promises made
vendor → usProcurement — RFQ · PO · GRN · pay
us → customerSales — quote · order · dispatch · collect
The physical side
How you actually make them
upstreamEngineering · production planning
on the floorShop floor · quality
They're two sides of one coin — running on systems that don't talk efficiently, or even in the same language. But the real problem is the relay.
- Every promise — quote this price · procure that part · ship Friday — has to pass cleanly through every department to be kept.
- It drops in the handoffs — not just between the two sides, but within them.
- So problems surface too late, and money leaks in the gap between what's promised and what's delivered.
Today it scatters across —
- Excel
- PDFs
- Tally gaps
- Legacy ERP
- Standalone CRM
- Memory
Our first product
TradeOps runs your commercial thread.
One live, shared record for your whole commercial side — so a promise can't drop in a handoff, and you see where every order is, even when one stalls or cancels.
vendor → us
Procurement
RFQ · PO · approval · GRN · 3-way match · pay
what's on hand
Inventory
Stock in and out, tied to every order and PO
coming
Costing
Quote-to-actual margin, once the thread is full
Commercial side today — the manufacturing sub-system is the mountain we climb next.
And the owner gets one screen — is the commercial operation keeping its promises?
Visibility 78% · 12 orders + 5 POs unlinked → ₹14.0L assessed on schedule only
Customer Deliveries
we → customer92% on-time (this week)
23 on track1 at risk1 breached
▲ OEM customer · SO-204 · ₹50.0L · 4d late
2 need you ▸
Vendor Deliveries
vendor → us8 / 11 vendors on-time
8 on track2 at risk1 breached
▲ Forge supplier — threatens 3 deliveries · ₹28.5L
3 need you ▸
Cash
in & out₹12.3L overdue in · ₹4.1L due ≤7d out
20 on track3 at risk5 breached
In ₹12.3L overdue (5) · MSME ₹2.2L
5 need you ▸
Illustrative preview — your live OpsCenter is built from your own orders, vendors and invoices.
Platform capabilities
Most enterprise AI is bolted onto bad data.
We built the data first.
So intelligence grows from it organically, as your operation runs — and on top, two purpose-built, cross-cutting AI products, each for one job:
IndusTake
Get the data in.
Messy RFQ PDFs, supplier WhatsApp messages and emailed POs become structured commitments — so work starts clean, and a customer feels value before a single partner has joined.
IndusLaunch
Get live in weeks, not months.
An AI-assisted implementation workbench stands up masters, suppliers and workflows fast — the throttle that keeps deep vertical software from drowning in setup.
The network effect
Every customer brings their suppliers.
The network grows itself.
Every manufacturer is both a buyer and a seller — so your PO is your supplier's order: the same record, two sides, no re-keying, no PDF ping-pong. Add one customer and their vendors come on too, and inside a cluster it compounds.
You · buying
PO #88 · 10,000 pcs · due 25 Jun
Supplier · selling
- 01
A supplier joins free to receive your orders on the shared record.
- 02
They upgrade to run their own buy-side — and pull their own vendors on.
- 03
Inside a cluster, the trade graph densifies itself.
Every trade leaves behind a bilateral, fulfilment-verified record of how Indian manufacturers actually pay and deliver — the data foundation no incumbent can retrofit.
The leaks we close
Catch the money before it leaks out.
Money leaks in the gap between what's promised and what's delivered. With every commitment on one thread, the leak is caught before it settles.
Overpayments
Duplicate or wrong invoices, stopped at 3-way match — before the money goes out.
Slipping dispatches
Surfaced the moment they're at risk — before the customer calls, not after.
Unapproved spend
Blocked at maker-checker, before it settles into the books.
Late MSME payments
India · the one we close first. The §43B(h) penal-interest clock Tally doesn't watch — computed, with 45 days to act.
Built for make-to-order manufacturers.
We start in India's auto-component clusters — the densest repeat industrial trade on earth. The beachhead, not the boundary: the same core extends to other manufacturing models, and the category is global.
- Auto components
- Machining
- Fabrication
- Industrial parts
- Engineering
Owner
Stop chasing. See every commitment in one place.
Procurement
One flow from RFQ to payment.
Finance
Catch the leak before it settles.
Operations
See blockers before the customer does.
Where this goes
We're climbing two mountains.
One we run today: the operating layer, expanding from the commercial thread onto the factory floor. The other it unlocks: a bilateral record of real trade that becomes the risk infrastructure finance and insurance have never had.
We start by running how manufacturers operate —
and end up powering how they're financed and insured.
Pricing
Start with one pilot. Your suppliers join free.
Supply
Free
For suppliers, by invitation. Respond to your customers' orders on one shared record.
Most start here
Procure
Talk to us
Run your full buy-side — RFQ to payment.
Trade
Talk to us
Buy and sell on one thread, and sell proactively to any customer — on-platform or off.
Manufacturing runs on promises.
Come help us keep them.
Onboarding our first pilot group now, in Pune's auto-component cluster.