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The asset management industry is undergoing a significant transformation, as new capabilities and efficiencies enabled by AI adoption have already started. We believe the first key transformation involves empowering financial and legal professionals by providing them with powerful expert-facing tools that help them gain massive insights and efficiencies. Will you wait for your competitors to make the first move?
If you are a hedge fund credit analyst, portfolio manager, financial advisor, institutional investor, market-maker, or corporate lawyer in the corporate turnaround business and you participate in the leveraged loan, high-yield bond, or private credit market, we can help you find alpha by reading loan documents and bond indentures more than 10x faster.
We specialize in the area of stressed and distressed US corporate debt, starting with US high-yield bonds. We super-charge key workflows like:
We meet with your team to understand your particular situation, assess your needs, and determine if our software can be used or adapted for your particular use case. Our goal is to meet your individual needs.
CredX.AI's flagship product is a terminal for loan documents, starting with our corporate bond covenant analytics platform, which empowers professionals with key intelligence on stressed or distressed debt covenants that today require time-consuming, resource-intensive, and costly legal due diligence.
CredX.AI's covenant analytics platform super-charges professional users that want to read the covenants themselves to estimate the true value of high-yield and distressed corporate debt. We have developed a proprietary AI-analytics web platform that delivers high-value insights within minutes, instead of hours or days. CredX.AI will be releasing this subscription service in the first half of 2025. Want a free demo? Get in our list of professionals interested in a product demo by sending us an email at demo@credx.ai.
Yes. We have a team of quantitative finance professionals that have experience performing model validation of sophisticated market risk and credit risk analytics models: value-at-risk models, stress testing models, risk capital models, margin requirement models, credit default models, portfolio models, and stock index models.
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