Trusted infrastructure
for corporate credit.
Raven combines advanced AI with deep credit expertise to streamline and optimize workflows for credit professionals — assess and monitor investments with greater speed and unmatched precision.
Where Raven plays across the investment process.
The investment process begins with deal sourcing and concludes with ongoing portfolio monitoring. Raven excels across the following stages:
- Sourcing
- Screening
- Underwriting
- Diligence & IC
- Closing
- Monitoring
Make the right decisions, faster.
We lay the groundwork so investors can focus on what matters most — applying expertise and credit judgment against the facts.
Automated financial analysis
Raven converts complex financial data into structured formats, expediting review of revenue and expense drivers, desktop models, and peer benchmarking.
Fine-tuned LLMs for credit
Instant, comprehensive analysis through Raven — specialized risk methodology and proprietary AI agents, built by credit professionals.
Query and research all your data
Find, analyze, and synthesize critical information from internal databases and external sources to bridge knowledge gaps quickly.
Build firm knowledge
Centralize deal data in a unified repository and track critical metrics across deals, individuals, teams, and the firm.
Generate invaluable reports
Produce internal briefings, investment memos, and other reports on demand — and get to decision-makers faster.
Transparent sourcing for validation
See the sources. Validate as you go, with full reference of every input and output behind an analysis.
Streamline due diligence
Rapidly process borrower diligence from customer documents, internal files, third-party systems, and public records.
One integrated framework
Multiple data sources brought together in a single AI framework, so decisions can be reached faster and with confidence.
All the knowledge needed, in one place.
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.
Sponsor Documents
Original uploaded deal docs: CIMs, QoE, financials, loan docs, schedules, diligence material.
Upload & Analyzed
Analysis conducted through machine learning and Raven prompt analysis.
- Financial extraction
- Qualitative + document analysis
Raven Retained Data Storage
Large internal analysis layer from Raven prompts over the corpus.
Canonical financial figures & metrics.
Raven UI
Raven Direct
LLMs don’t store results
Ask again and the analysis is re-derived from scratch — errors creep in and the answer drifts.
The vault persists it
Each deal’s analysis is saved once and retrieved, not recomputed, giving the same answer every time.
Single source of truth
One data layer of record behind every credit analysis across the firm.
Outcomes credit teams see after adopting Raven
Teams that have adopted Raven have found they are making faster and smarter decisions. The Raven platform allows them to save time on the manual diligence process and gives them opportunity to make better, more informed, credit decisions.
ROI
more deals screened
faster diligence completed
Trusted by credit teams already using Raven.
Real feedback from the investment professionals relying on Raven for sourcing, screening, and portfolio monitoring.
“Raven 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 Vault has become a reliable resource for our investment committee meetings — a quick, clear view of the key points that helps guide smarter conversations.”
Portfolio manager“Raven consistently brings fresh insights to the table — things that wouldn't necessarily come up in a typical credit review.”
Managing director, private creditQuick answers.
How does Raven use my data to produce credit analysis?
Specialized ML models and LLMs analyze financial and business data for credit assessment, extracting insights from unstructured documents with domain-specific training in financial terminology and credit principles. Autonomous AI agents function as virtual analysts with specialized competencies across finance and credit.
What types of data can Raven work with?
Financial information (statements, projections, spreadsheets), business documents (confidential memoranda, industry reports), deal and data-room materials (diligence documents, valuation reports, collateral analyses), and internal and external research (risk assessments, credit ratings, client information, equity research).
Can Raven integrate third-party data I already subscribe to?
Yes. Raven connects with many third-party market, industry, and data sources — including ones you may already subscribe to — improving workflows and enriching the overall analysis produced.
How is my data protected?
Enterprise-grade encryption, secure cloud infrastructure, role-based access controls, regular security audits, and compliance with financial-industry standards. Raven is SOC 2 Type II certified, which means you can rest easy knowing your data is secure within the Raven platform and Raven Direct MCP connection.
What's involved in implementation?
Raven is a responsive web application — teams can begin analyzing documents and deals within minutes. Document upload, automated extraction, and deal analysis require no complex setup, and administrators define who can view, edit, or approve specific deals or documents.
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.
How quickly will Raven produce credit analysis, and how accurate is it?
Analysis in minutes rather than days, with accuracy typically exceeding 90% against manual assessments — and continuous improvement through feedback loops.
How does Raven manage LLM hallucinations?
Fact-checking against source documents, outputs constrained to verified data, human review protocols, and continuous model refinement.
Experience a better way, the Raven way.
Experience how Raven can enhance efficiency, execution, and decision-making at throughout the credit process.
Schedule a demo