LiteHouse
Secured credit · India · MSME

The businesses are visible. The credit still isn’t.

India spent a decade making its small enterprises formal, documented and countable. Lending never caught up. LiteHouse is being built to close the distance between a business that can be verified and a loan it can actually get.

Two people reviewing figures on a phone inside a small engineering workshop
Evidence gathered where the business actually is

Built on rails that already exist

  • Udyam
  • GST
  • Account Aggregator
  • UPI
  • Unified Lending Interface
  • Credit bureaux
  • Digital KYC

The gap

Formalisation solved identity. It did not solve credit.

Registration, tax filing, digital payments and consented data sharing mean an enterprise that once existed only in its owner’s memory now leaves a durable, verifiable trail. More than 7.8 crore enterprises are registered on the Udyam portal alone.

To most lenders that business is still unbankable. Credit assessment was built around audited financial statements — and a business that keeps none gets pushed into a slower, softer process: a judgment made by people who have never seen the premises, taking weeks, and often ending without a reason given for the answer.

So an enterprise can be completely formal and completely unfunded — while its owner holds property worth many times what he needs to borrow.

Read the full argument →

A customer and a shopkeeper at the counter of a neighbourhood store

How it works

We don’t ask for the accounts. We rebuild them.

The truthful record of a small business is not in a ledger. It is in the premises, the stock, the orders, the meter, the counter and the rails the business already runs on.

A shop owner at his counter, with observable business signals marked on the scene

Illustrative. Signals a trained officer and a camera can both see: goods on the shelf, payment acceptance, utility continuity, invoices at the counter.

01

Observe

The business is documented where it stands — the place of work, what it holds, what it produces and who comes through the door.

02

Corroborate

What is observed is read against the public and consented rails the business already uses, so a claim has to survive contact with independent data.

03

Test

What the owner says about his business is checked against what the evidence shows — in his own language, on the record.

04

Decide

A credit officer takes the decision and owns it. The system builds the case; a person signs it.

The approach in detail →

Workers on a fabrication floor reviewing a job on a tablet

Better data tells you who to lend to. Security tells you what you recover when the year goes badly.

Which is why every loan is written against property, sized to the security and the cash flow rather than to the appetite.

Principles

What we decided before we needed to.

A lending business is defined by what it refuses to do when growth is available. These are ours, written down early and on purpose.

01

Secured, not speculative

Data narrows adverse selection at origination. It does almost nothing for loss given default. We lend against property and size to the security and the cash flow.

02

Machine-built, human-approved

Software assembles the case consistently and fast. A qualified credit officer makes the decision and stays accountable for it. We do not intend to automate the final call.

03

Someone local, paid to be right

Whoever introduces a borrower should already know that borrower — and should be paid across the life of the loan, not at disbursal. Incentives produce the book they reward.

04

Asset-light by design

Reach through institutions and people already rooted in their towns rather than a branch network built to reproduce them. Distribution is a relationship problem first.

Reach

Built for the places the branch never reached.

The enterprises we are built for are not concentrated in eight cities. They are spread across district towns where the cost of a branch has never been justified by the size of the loans around it.

Solving that is an operating design problem, not a marketing one: who does the work, where the work happens, and what has to travel.

Illustrative map of a distributed lending network across India

Where we are

Pre-licence, and saying so plainly.

We would rather be precise than impressive. LiteHouse is pre-operational. We have not made a loan, and we will not make one until we are authorised to.

What exists today is a fully specified operating and financial model, a platform under active development, and field validation underway with the businesses and local institutions the model depends on.

Current status

Pre-licence and pre-revenue. Building, validating in the field, and in conversation with investors, banking partners and advisors.

Operating & financial model
Complete
Platform
In development
Field validation
Underway
Lending
Subject to authorisation

If this is a problem you have also been looking at, we should talk.

We are in conversation with investors, banking and co-lending partners, ecosystem organisations working with small enterprises, and advisors who know this customer well.