Devika Raman Built a Lender for Businesses the Models Kept Rejecting

Devika Raman keeps a rejected loan application in her desk. It belonged to a family-run packaging business with fourteen years of trading history, consistent receivables and no formal credit file to speak of.

"Every model we could buy said no," she says. "I drove out to see them. They had a full order book and a queue of customers. The model was not wrong about the data. The data was wrong about the business."

The gap Aster was built for

Raman spent nine years in corporate credit before founding Aster Capital, a lender focused on established small and mid-sized businesses that fall outside conventional scoring.

Her argument is not that credit models are useless. It is that most of them are trained on a borrower profile that a large share of real businesses have never fit, and that the mismatch gets read as risk rather than as absence of evidence.

There is a difference between a business that has failed to pay and a business that has never been asked. Most scoring treats them identically.

Underwriting that involves leaving the building

Aster's process is deliberately more expensive than its competitors'. For loans above a threshold, an underwriter visits the business.

Raman is direct about the economics: the visits raise Aster's cost per loan meaningfully, and the company has had to build a book that justifies it through lower loss rates rather than through volume.

"We are not cheaper than a bank," she says. "We are more accurate than a bank about this specific kind of borrower. Those are different claims and I am careful never to make the wrong one."

What the visits actually reveal

The most predictive signal Aster has found is not one Raman expected. It is customer concentration, and specifically how the owner talks about it.

"Ask a business owner who their biggest customer is and watch what happens," she says. "The ones who tell you the percentage, unprompted, and then tell you what they are doing about it are a completely different risk to the ones who have to think about it."

She is wary of turning that into a scored input. "The moment you formalise it, people learn the answer," she says. "It works because it is a conversation, not a field."

On growing without losing the thing that works

Aster's constraint is now the underwriting team rather than demand, and Raman has turned down two funding conversations that would have required faster deployment than her hiring can support.

"I have watched lenders take growth capital and then discover that the only way to deploy it at that speed is to relax the thing that made them good," she says. "You do not usually notice for two years. Then you notice all at once."

Her ambition, she says, is smaller and more specific than the sector generally rewards.

"I would like to be the lender that a good business with a thin file can get a straight answer from," she says. "That is the whole company. It is not a large idea. It is just one that somebody has to actually do."