Private-Credit.ai Launches AI-Powered Covenant Benchmarking Platform for Credit Managers

Private-Credit.ai announced the launch of X-Ray, an AI-driven analytics platform that enables private credit managers to quantify and benchmark the strength of their credit documentation. This represents the first AI-powered covenant and structure benchmark for credit managers, allowing them to measure documentation quality alongside traditional metrics like leverage, yield, or returns.

Joseph DiTomaso, Inventor of Private-Credit.ai, stated that private markets have long needed a transparent, data-driven way to evaluate documentation quality and covenant strength. With X-Ray, teams can now visualize documentation strength deal-by-deal, identify risks, and make faster, more confident investment decisions according to the company's announcement available at https://private-credit.ai.

Built on Private-Credit.ai's proprietary Orion Engine, X-Ray uses natural language processing and structured scoring to evaluate key sections of credit agreements. The platform analyzes critical components including Maintenance Covenants, Debt Incurrence, Restricted Payments, and MFN Protections. The system generates a color-normalized heatmap that highlights strengths and vulnerabilities in real time, providing credit managers with immediate visual insights into their documentation quality.

X-Ray is part of a broader Private-Credit.ai suite that includes modules for Deal Execution Tracking, Compliance Monitoring, Shadow Ratings, and Portfolio Risk Visualization. Together, these tools help direct lenders, private credit funds, CLO managers, and institutional allocators transform document-heavy processes into data-driven insights. The platform addresses the growing complexity in private markets where traditional systems struggle to keep pace with expansion and documentation volume.

Private-Credit.ai is actively expanding partnerships with global asset managers and service providers to integrate X-Ray into existing document and portfolio management workflows. The company combines deep industry knowledge with proven execution in AI-enabled software, having been built by practitioners for practitioners according to their platform details. This approach aims to bridge the gap between traditional credit analysis methods and the demands of modern private credit markets through rapid ingestion of complex deal materials and consistent underwriting logic.