Martini.ai will use the funding to support the commercial launch and continued development of the company’s breakthrough NeuRatings solution credit rating system for private companies.
Founded by entrepreneurs like Rajiv Bhatt and Rohit Singh, Martini.ai claims to identify opportunities to apply machine learning and quantitive technologies to transform the pricing of liquid assets such as assets like corporate bonds and credit spreads for private companies.
The company has claimed in a statement that its NeuRatings platform delivers significant improvements for corporate lenders to credit risk monitoring, providing real-time credit scores and spreads on over 700,000 private companies. NeuRatings leverages AI to combine a knowledge graph with real-time monitoring of equity and credit markets to quickly propagate the impact of changes on credit risk. It utilises Generative AI by way of large language models (LLMs) to generate real-time risk reports from information in corporate bond and loan trading data, news, supply chain and corporate relationships, equity market data, traffic, and ownership that may have been previously overlooked.
“Corporate risk has fundamentally changed since March 2020 as there are more shocks hitting interconnected ecosystems that have made companies a lot more vulnerable,” said Rajiv Bhatt, the founder and CEO of Martini.ai.
“At the same time, the amount of available data coupled with breakthrough AI technologies have given us a much better way to determine corporate risk in real-time. We're thrilled that Neotribe and Rocketship.vc has invested in Martini.ai and shown confidence in us. With the launch of NeuRatings, we aim to assist lenders in efficiently managing their credit portfolios while also supporting businesses in a rapidly evolving market,” he added.
Swaroop ‘Kittu’ Kolluri, the founder of Neotribe, claimed, “The use of ratings for allocating corporate debt has historically only been privy to very large corporations.”
“For everyone else, either debt is not available, or it comes with a steep price, with an outdated error-prone manual approach. So, how do you underwrite corporate debt? By applying AI to market and historical operational data, Martini is now able to democratize corporate debt ratings, making them available to virtually every public company and a vast majority of private ones too,” he added.