CredCore Integrates FactSet Data to Enhance AI in Debt Markets
CredCore has joined FactSet's AI Partner Program to integrate FactSet's Debt Capital Structure (DCS) DataFeed into its AI platform, announced in a press release. This collaboration aims to enhance efficiency and innovation in the $5 trillion enterprise credit market by leveraging FactSet's comprehensive financial data.
The integration of FactSet's data will allow CredCore to accelerate deal throughput, enabling clients to scale their teams and assets under management more effectively. CredCore's platform, which collaborates with top U.S. asset managers and enterprises, manages over $650 billion in assets under management. The platform's end-to-end solution suite optimizes every stage of the debt deal lifecycle, from pre-deal evaluation to post-deal management.
By incorporating FactSet's DCS dataset, CredCore provides users with a deep understanding of debt instruments and their related obligors across public and private company capital data structures. This integration is expected to empower analysts to optimize credit strategies and drive innovation within the enterprise credit market.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Finance
Sep 28 HCLTech Study Finds 7% of Wealth Firms Building Agentic AI Sep 28 Fulcrum Launches Insurance Certificate Automation Sep 28 RiskScout Raises Funding for AI Compliance Platform Sep 28 Bank of America Adds Intelligence Hub to AskGPS Sep 28 Outmarket AI Raises $34.5 Million for Insurance AutomationFinance AI Weekly
Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
dv01 Launches AI Agents for Structured Finance
Factal Adds Advance and Explorer to Risk Intelligence Platform
Grantd Adds Collective Liquidity Tools for Private Share Planning
Kapital Raises $125 Million for AI Platform and Global Expansion
Cognition Raises More Than $2 Billion at $48 Billion Valuation
Daily AI Brief: the AI news that matters, in your inbox.