Credit for the bio-energy value chain.
India’s bio-energy chains run on thousands of small operators — the people who collect, aggregate, pre-treat and haul the feedstock that plants and refineries depend on. They move real volume, on their own money. The thing that limits them is not demand. It is credit.
The constraint is credit, not supply.
Every chain we look at tells the same story. The material is there, the buyers are short, and the businesses in the middle cannot grow into the gap because nobody will fund them.
Thin-file by definition
These are small, owner-run businesses with stock, contracts and genuine cash flow — but not the collateral, the audited financials or the credit history a conventional assessment is built around. A bank reads them as unbankable. They are not; they are unreadable.
The money is always in the material
They pay their suppliers at pickup and wait weeks to be paid by the buyer. Every additional tonne has to be funded out of their own pocket before anyone reimburses them for it.
So the whole chain stays sub-scale
Volume is capped by working capital rather than by the market. Operators stay small, buyers stay short of feedstock, and the informal lenders who do step in charge rates that eat the margin.
Lenders are not unwilling — they are blind
The appetite exists. What is missing is a way to see the stock, verify that the trade is real, and monitor the exposure as it turns over. That is an information problem before it is a credit problem, and it is the one we set out to solve.
Credit, and the two things that make credit possible.
Credit solutions
A set of products built around how these businesses actually turn money over, not a single loan:
- Working capital against stock and contracted offtake
- Supplier and collection-point payment finance
- Equipment and asset finance
- Invoice and receivable finance
- Structured and blended facilities for larger operators
Verification & chain of custody
Origin, quality and custody recorded to the standard a buyer is audited against. It earns the operator a better price — and it gives a lender something to lend against, because a trade that can be proved is a trade that can be underwritten.
Operating data & monitoring
One shared record of collection, testing, dispatch and payment. It turns a thin-file borrower into a monitored exposure with live cash-flow evidence, which is what moves a file from declined to approved.
Credit at this scale is an alliance, not a balance sheet.
No single party can serve this market alone. The model works when each one does what it is best at, and when the information flows cleanly between them.
Lenders & NBFCs
Provide the capital and hold the book.
Bureaus & data partners
Build the file on borrowers who do not have one.
Technology & payments
Origination, documentation, disbursement and collection rails.
Buyers & insurers
Anchor the offtake and cover the risk on stock in transit.
We have assembled this before
We have built and operated exactly this kind of arrangement in consumer lending — working alongside bank and NBFC lending partners, credit bureaus, payment infrastructure and insurers as one flow rather than as separate vendors.
And we are assembling it here
We are building the equivalent panel for bio-energy: lenders willing to fund operators against stock and offtake, and the data and verification partners who make that exposure legible to them.
We come out of lending, not advisory.
Credit, from the inside
We have built and run an unsecured digital lending business end to end — originating, underwriting on cash flow rather than collateral, disbursing, monitoring and collecting — lending to small urban borrowers conventional scoring turns away. Knowing where this kind of credit actually breaks, and what it takes to get the money back, is not something a model teaches you.
Technology, data and AI
That business ran on a stack we built ourselves: loan origination, alternative credit assessment, core banking, digital documentation, cashless disbursement and portfolio monitoring. The same work now extends into MSME lending, with AI, agentic workflows and data analytics carrying the assessment and monitoring that manual underwriting cannot sustain at this ticket size — built on years of designing data products inside global financial institutions.
Get in touch.
If you operate in a bio-energy value chain, buy from one, or lend to businesses that do, we would like to hear from you.