Passu provides an AI‑powered operating system that automates the first‑layer of credit analysis for institutional asset managers, covering investment‑grade, high‑yield, and leveraged loans.
Funding
Funding not disclosed
Founders
Product
Problem
Institutional asset managers must manually process large volumes of filings, earnings calls, and news to perform first‑layer credit analysis on investment‑grade, high‑yield, and leveraged loans, a process that is time‑consuming, error‑prone, and limited by analyst capacity.
Solution
Passu offers an AI‑powered operating system that automates the initial credit analysis workflow. The platform continuously ingests corporate filings, earnings transcripts, conference calls, and news, using autonomous agents to extract key credit metrics and flag material changes in real time. By handling repetitive data extraction and validation, Passu frees analysts to concentrate on higher‑level judgment and portfolio decisions. All research activities are centralized in a deterministic, auditable system of record, eliminating reliance on disparate spreadsheets and manual documentation. The solution scales coverage across a broader universe of credits while preserving traceability and reducing information loss.
Target Audience
Primary customers are institutional asset managers and credit research teams that evaluate corporate credit across investment‑grade, high‑yield, and leveraged loan portfolios.
Features
- Real‑time ingestion of filings, earnings calls, and news with AI agents that parse documents and extract credit-relevant metrics
- Automated flagging of material changes to alert analysts of significant developments
- Centralized, auditable research repository with source citations, hallucination checks, and deterministic validation
- Scalable first‑layer analysis that replicates junior‑analyst tasks, enabling high‑touch coverage of many more credits
- Integration of investment‑grade, high‑yield, and leveraged loan data within a single workbench