Cut diligence from weeks to days. Make the right decisions faster.
Founded by the former CEO of RBC US
Leading a team with 100+ years of credit and capital markets expertise. Trusted by Private Credit Managers, Alternative Asset Managers, Banks, and FIs.
All the knowledge you need in one place. With integrated third-party data, RavenChat, and advanced financial modeling, lenders can assess risk, run scenarios, and reach their investment thesis faster.
All the Tools in One Place
Assess business, financial, and structural risks with Speed and Clarity. With real-time data integrations, RavenChat, and heads-up models, lenders can evaluate risks and test scenarios without leaving the platform.
Generate Custom and Adhoc Memos and Reports in Minutes
AI-powered memo writing, built by credit professionals. Generate structured first drafts in minutes, cutting days into hours. Deal teams focus on the real credit work. Key issues surfaced for senior managers faster. Better, faster decisions
Accuracy You Can Trust
Infused with decades of credit expertise and independently validated for 99+% accuracy. Every output is meticulously footnoted and sourced, delivered on a SOC 2–ready, enterprise-grade infrastructure.
85
time saved
To complete initial due diligence
%
99
%
+
accurate
Credit-informed AI analysis
15X
ROI
Through increased deal closings
Measurable ROI
Benefits
Transform Your Credit Workflow
Your data
External data
Your Data + External Data + Your Input → Credit Insights
We integrate your internal data with critical third-party sources. Our machine learning pipeline and AI agents analyze both private and public information to deliver comprehensive credit insights in minutes.
What Credit Leaders Are Saying
“RavenRisk AI helps ensure we’re not just focused on the headline items — it surfaces the smaller, often overlooked details that can really impact a deal.”
Principal: NY-based multi-strategy asset manager
“The Credit Co-Pilot’s Vault has become a reliable resource for our investment committee meetings. It gives us a quick, clear view of the key points and helps guide smarter conversations.”
Portfolio manager
“RavenRisk AI consistently brings fresh insights to the table — things that wouldn’t necessarily come up in a typical credit review.”
Managing director, private credit
Customer Insights
Ready to Elevate Your Credit Process?
Experience how RavenRisk AI can enhance efficiency, execution and decision- making at every stage of the credit process. Schedule a demo today.
How does RavenRisk AI use my data to produce credit analysis?
Our framework uses specialized ML models and LLMs to analyze financial and business data for credit assessment. We employ fine-tuned LLMs to extract insights from unstructured documents, leveraging domain-specific training in financial terminology and credit principles. Advanced prompt engineering guides AI toward extracting precise information from diligence materials, while interpreting metrics and industry trends. Autonomous AI agents function as virtual financial analysts with specialized competencies across finance and credit domains.
What types of data can RavenRisk AI work with?
Raven processes various internal business data types to support decision-making while maintaining the highest security protocols. We can handle financial information (statements, projections, spreadsheets), business documents (confidential memoranda, industry reports, research studies), deal and data room materials (due diligence documents, valuation reports, collateral analyses), and internal and external information/research (risk assessments, credit ratings, client information, equity research).
What other data does Raven connect with? Can Raven integrate third-party data already subscribed for?
Yes, Raven connects with many third-party markets, industry and data sources including those you may already subscribe to. By incorporating third-party applications and resources, we improve workflows, the utility of those third-party services, and enrich the overall analyses produced.
How is my data protected?
Your data is protected through enterprise-grade encryption, secure cloud infrastructure, role-based access controls, regular security audits, and compliance with financial industry standards.
What is involved with implementing your solutions in our firm?
Credit Co-pilot is a responsive web-based application that enables users to begin analyzing financial documents and deals within minutes of access. The platform features an intuitive interface allowing for immediate document uploading, automated data extraction, and sophisticated deal analysis without requiring complex installation or setup procedures. Robust security protocols are integrated at every level including role-based access controls. The permission system allows administrators to define which team members can view, edit, or approve specific deals or documents, ensuring sensitive financial information remains protected while enabling appropriate collaboration.
How do I know no other customer gets access to my data?
Strict tenant isolation, dedicated encryption keys, access controls, and regular security audits ensure complete data segregation between customers
Where would I expect to see time savings from your solutions?
Time savings occur in data gathering and processing of diligence materials, credit analysis and risk assessment, financial analysis, document review, and reporting and monitoring.
How quickly will Raven produce credit analysis? How accurate are the outputs?
Raven produces analysis in minutes rather than days. Accuracy typically exceeds 90 % compared to manual assessments, with continuous improvement through feedback loops.
What is your customer service and support model?
We provide dedicated implementation specialists, extended working hours technical support, regular check-ins, ongoing training, and a customer success team focused on maximizing your ROI.
I've heard about hallucinations with Large Language Models? How does Raven manage that?
Raven addresses hallucinations through fact-checking against source documents, constraining outputs to verified data, human review protocols, and continuous model refinement and improvment.
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