AI-powered credit investment platform CredCore, which specialises in transforming debt capital markets for lenders and borrowers, has secured $16m in a Series A funding round.

The round was led by Avataar Ventures, with additional backing from Inspired Capital, Fitch Group, BellTower Partners, and senior executives from asset management and financial services.

CredCore is tackling inefficiencies in the enterprise credit sector, which sees $5trn in transactions annually but has been slow to adopt technological innovation.

The company’s AI-driven platform enhances deal execution by enabling customers to accelerate transactions and scale their teams and assets under management (AUM). The platform has gained significant traction, already supporting major asset managers and corporations in the US, overseeing over $650bn in AUM.

The company’s suite of solutions covers the entire debt deal lifecycle, from pre-deal evaluation to post-deal management. Its Agentic platform uses AI to analyse, summarise, and extract insights from deal-related documents in a matter of hours, significantly reducing the time required for capital deployment.

CredCore co-founder Saumil Annegiri said, “Marrying credit and technology has historically been insurmountable. The industry is fragmented, complex, and specialized, with data that is often unavailable and inconsistent. At CredCore, we are solving this with proprietary AI models trained on $5 trillion worth of data.

“However, technology is just a part of the solution. Expert oversight remains indispensable to ensure precision and trust. This is where we differentiate ourselves with domain-specialists-in-the-loop.”

CredCore co-founder Karthik Nandyal added, “In terms of technology adoption, enterprise credit today parallels where equities were 30 years ago but credit markets are significantly larger.

“With decades of industry experience, we built CredCore on a foundation of advanced AI research and innovative business processes to transform credit markets through technology.  AI advancements like self-deployed models and more efficient architectures are enabling greater automation and enhanced data privacy, which is why we are able to guarantee outcomes for our customers.”