Debt marketplace Recur Club raises $50 million from InfoEdge Ventures, others

Recur Club, a debt marketplace for startups and small and medium-sized enterprises (SME), has raised $50 million. Of this, the company raised $8 million in equity funding led by InfoEdge Ventures and participation from LC Nueva, Physis Capital, String Ventures, and iA Finvolve.

The remaining $42 million is debt from financial institutions, including Incred, Ugro Capital, and Lighthouse Canton.

The firm plans to use the funding to scale its team and enhancing tech offerings such as ‘autopilot’ financing, which enables startups and SMEs to secure debt faster and efficiently. It also aims to expand to tier two and three markets.


The platform is also integrating AI to automate its services. “We have created a platform called AICA (AI credit analyst), which instantly connects with all the data sources to create a financial and compliance report for a company,” said Abhinav Sherwal, cofounder and co-CEO.

The company claims that AICA’s co-pilots and lending agents can help save over 80% of the time spent on data collection, deal execution, etc.

The platform provided credit to companies across sectors for cashflow and asset financing, working capital, invoice discounting, venture debt, acquisition financing, structured debt, and lease financing. So far, over 2,000 companies have used its services.

“By 2030, our ambition is to power 2% of India’s $1 trillion SME and startup debt market by making credit easily accessible’’, said Eklavya Gupta, founder and co-CEO.

The Delhi-based company was founded in 2021 and has raised close to $10 million in funding so far. It has offices in Mumbai and Bengaluru and an 80-member team.

“AI is transforming industries worldwide, but corporate lending in India has remained slow and relationship-based. Recur Club is changing that. By building a full-stack debt marketplace with AI at its core, they are making capital faster, smarter, and truly founder-first,” said Amit Behl, partner at Infoedge, in a statement.