The fintech solving two problems at once: Payment chaos and checkout friction

When Debal Chakraborty set out to build Paytring in 2023, he wasn’t trying to launch yet another payment gateway. After more than a decade working across fintech companies, payment gateways, and banks, he had seen the same problem repeat itself across businesses: payment failures that merchants didn’t fully understand or know how to fix.

Instead of building another payment tool, Chakraborty wanted to solve the invisible layer behind transactions.

“Businesses often see a failed payment and simply ask customers to try again,” he says. “But rarely do they know why that transaction failed in the first place.”

Paytring was built to address exactly that.

Fixing the invisible layer of payments

At its core, Paytring functions as a payments orchestration platform that sits between merchants and multiple payment service providers (PSPs). Rather than forcing businesses to rely on a single gateway, the platform analyses transaction data and dynamically determines the best way to complete a payment.

If a UPI or card transaction fails, the system identifies the reason and intelligently routes the customer toward an alternative payment rail or PSP that is more likely to succeed.

This approach tackles a common but often overlooked issue in digital commerce: payment failure during peak traffic.

“We’ve noticed that during peak periods, nearly 20–25% of UPI and card transactions can fail,” Chakraborty explains. “By understanding the reason behind these failures and routing payments differently, we’ve been able to bring that number down to about 7–8%.”

For merchants, that improvement translates directly into recovered revenue and fewer abandoned checkouts.

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AI powering Paytring’s infrastructure

To scale the platform efficiently, Paytring relies heavily on OpenAI’s models across its internal systems.

AI assists the team in areas ranging from development workflows to merchant onboarding and operational automation.

“Roughly 25–30% of our daily work now depends on OpenAI tools,” Chakraborty notes.

The company uses OpenAI’s coding tools to accelerate development and deployments, helping the small team iterate quickly while expanding the platform’s capabilities.

AI also supports merchant integrations and documentation, reducing the time it takes for businesses to connect their payment infrastructure and start processing transactions.

Focus on high-volume industries

Paytring is currently focusing on sectors where transaction reliability directly impacts revenue.

The company’s early traction has come from three key industries: non-banking financial companies (NBFCs), travel and hospitality, and direct-to-consumer (D2C) brands.

In these sectors, even small improvements in transaction success rates can significantly increase revenue recovery and customer satisfaction.

By analysing transaction behaviour and adapting routing strategies in real time, Paytring aims to help merchants maintain higher payment reliability, especially during traffic spikes or promotional campaigns.

The bigger opportunity

Globally, payment orchestration has already become a major infrastructure layer for digital commerce. Markets like Europe and the United States have seen increasing adoption as merchants expand across geographies and payment methods.

Chakraborty believes India is now approaching a similar inflection point.

As digital payments grow and businesses rely on multiple gateways, the need for an intelligent orchestration layer becomes more critical.

“The real problem isn’t just enabling payments,” he says. “It’s ensuring that transactions actually go through.”

For Paytring, the goal is to become the invisible system that quietly ensures exactly that.

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