Rosveq

LABS

PlatformRoadmapIndustriesBefore & After

INDUSTRIAL INTELLIGENCE

Reference footage · not a Rosveq installation

The intelligence layer for industrial businesses. It ships today as finrs.ai: seventeen parts of a business on one core. The floor is next.

Reference plant · sample feed

Payables drafted a bill from 3 scans · waiting on approval
Inventory 6 SKUs under reorder · ₹6.8L to cover
Compliance 2 purchase invoices missing from GSTR-2B
Manufacturing WO-4471 needs 2 signatures
Drafted — waiting on approval
Blocked — needs a signature
Starting points we ship:
MANUFACTURINGDISTRIBUTIONWAREHOUSING & 3PLRETAIL & FOODONLINE RETAILFIELD SERVICELENDINGACCOUNTING PRACTICESUBSCRIPTIONPROJECTSMEMBERSHIP

What it is, in numbersOne core, one bill, one assistant inside all of it.

17
Parts of the business
11
Starting points, ready to run
1
Core, one login, one bill
30
Days free, no card
What you get

SEVEN THINGS, ONE SUBSCRIPTION

Scroll →

  1. 01 / 07

    ERP, CRM and HR in one system

    Leads and quotations, payroll and attendance, stock and the ledger — seventeen parts on one core, not seventeen subscriptions.

  2. 02 / 07

    Unlimited questions

    Nothing is metered: no token counter, no per-question charge, no bill that grows with use.

  3. 03 / 07

    Grounded in your own data

    It reads your ledger, stock and open documents directly — as you, and only what your role may see.

  4. 04 / 07

    Data in, data out

    Every list leaves as JSON, Excel, CSV or PDF. Anything that speaks JSON writes back in.

  5. 05 / 07

    Faster by default

    One keying instead of two. Bills and entries arrive already drafted from the documents you already have.

  6. 06 / 07

    Insights you can take away

    Ask in words. Back comes the figures behind the answer, and a PDF or spreadsheet you can download from the thread.

  7. 07 / 07

    One core, three rungs

    The books today, the floor next, the machines after — each layer on the same core, not another product to integrate.

FINRS.AI

A Rosveq Labs product

The ledger the whole facility posts into.

One assistant inside all of them. GST, TDS and payroll in the same books.

  1. Master Data
  2. Finance
  3. Revenue
  4. Lending
  5. Compliance
  6. Sales & CRM
  7. Marketing
  8. Inventory
  9. Supply Chain
  10. Manufacturing
  11. Point of Sale
  12. Service
  13. Projects
  14. People
  15. Administration
  16. System
  17. Audit
Start free on finrs.ai
The case

WHY WE EXIST

The plant says
  • Machine cycles
  • Gate scans
  • Vendor bills
  • The ledger
Seconds
Where it stops
  • Six systems that don't speak
  • Re-keyed by hand
  • A report on Friday
Days
The decision it implied
  • Re-sequence line 3
  • Hold the batch
  • Block the payment
  • Raise the permit
Too late

What if the system drafted it, and a person only approved?

One intelligence layer across the facility, and finrs.ai as the ledger it lands in.

One assistant across seventeen parts, with a before-and-after audit trail on every change.

One shift, two worlds

BEFORE & AFTER

  1. 07:10Sequence

    Before: Line 3 starts on the wrong job. WO-4471's dies are already mounted.

    After: Manufacturing re-sequences before the shift starts, and the supervisor approves. Roadmap

  2. 09:40Vendor bills

    Before: WhatsApp photos, keyed into Tally, then again into a stock sheet.

    After: Payables drafts them from the same scans — one keying, both books. Live

  3. 11:42Gate

    Before: A truck waits 50 minutes on a receipt matched to a printed PO.

    After: Supply chain matches the receipt against the order before the truck is unloaded. Roadmap

  4. Month endClose

    Before: Lands 18 days late. A duplicate ₹4.2L payment surfaces in GSTR-2B.

    After: Compliance asks why one bill number appears twice, before anybody pays it. Live

1
Keying, both books
2 of 4
Live today — the rest is the floor layer
Every
Action waits for a signature
The obvious question

YOU ALREADY PAY FOR CHATGPT

So do we. finrs.ai runs on the same frontier models — we did not train one of our own. The difference was never the model.

What it can see
A chat windowWhatever you remembered to paste into it.
finrs.aiYour ledger, stock, masters and open documents, live.
What it produces
A chat windowText, which somebody then retypes into the real system.
finrs.aiA draft in the books, ready for somebody to approve.
What it leaves behind
A chat windowA conversation only the person who had it can find.
finrs.aiAn audit trail with a name and a time against every approval.
Who it lets do what
A chat windowAnyone with the login can ask it anything.
finrs.aiRoles and permissions, enforced in the database itself.

A chat window cannot know October is not booked yet. A record has to be made where the records are.

The roadmap

WHERE INDUSTRY IS GOING

Industrial automation spent thirty years recording what happened. The next ten are about deciding what to do about it.

01 / Intelligent ERPLive

The books run themselves.

finrs.ai is in production: seventeen parts of a business on one core, with the assistant inside the books rather than beside them.

02 / Intelligent factoryNot shipping yet

The floor decides in the same core.

Gate scans, job cards and permits post to the same core, so a re-sequence is drafted the moment the data implies it.

03 / Robotic factoryThe bet

The plant acts on what it decided.

Machines taking their sequence from the same core a supervisor signs. No hardware ships today — this is the direction, printed so it can be held against us.

Three rungs, one core. Each is the next layer on what is live today.

None of it is autonomous. Every step ends in a draft a person approves.

Who you would be talking to

ArchanaMBA, Finance

Five years across finance, banking, audit and manufacturing inventory.

Rosveq Labs is small on purpose. You get the founder on the call, not a ticket queue — and what you need next is what gets built next.

Call before you send anything+91 89408 13829

Five years, the same hour repeating in four rooms. In audit, entries keyed from a document that already held every field. In banking, reconciliation done by eye. In a factory store, stock counted against a ledger nobody trusted. The information already exists, and somebody is paid to carry it across a gap. You do not close that with one more app. So: one core, and layers on top of it.

What it costs

ONE BILL, WHOLE COMPANY

₹12,000a month

Not per seat, and it does not go up when you ask more of it.

20
People included
₹600
A head at twenty
30
Days free, no card
None
Per-question or token charges
Start free on finrs.ai

START WHERE IT IS CHEAPEST

Every month it runs, the books get more complete. Start later and the floor layer meets an empty schema.

  1. 01
    Call Archana

    Five minutes, before you send anything at all.

  2. 02
    Run the books free for a month

    Put one month of your own entries through it and judge it on that.

  3. 03

    Two weeks against your own data, ending in a map of every decision made too late.