Street Diligence

Street Diligence is a financial technology company providing an AI-powered contract intelligence platform for analyzing credit agreements, high-yield bonds, and bank loans. Its platform extracts structured insights from deal documents so investors can assess terms, risks, and market norms in private credit and syndicated lending.^[1][2]

The company describes itself as the AI deal-intelligence platform for private credit, serving professionals in credit and lending, investment management, and mergers and acquisitions.^[1][3]

What It Does

Street Diligence's platform analyzes, manages, and supports negotiation of portfolios of contracts. For credit work, it reads loan agreements and bond indentures, extracting structured data on covenant terms, risks, and market norms so analysts can perform due diligence without manually parsing lengthy legal documents.^[1][2][4]

The company has extended its analysis into private credit, marketing a modern platform for extracting insights from credit agreements with AI-powered contract intelligence, and has connected its data to ChatGPT and Claude through MCP integrations.^[1][5]

Data and Methodology

Crunchbase describes the firm as a high-yield bond and bank loan analytics company providing a workflow tool that enables accurate due diligence. The platform compares individual agreements against information on market norms and risks related to financial documents.^[2][3]

Products

Verticals covered by the platform have included bank loans and corporate bonds, investment partnerships, government contracts, real estate, and LIBOR compliance, according to company profile data compiled by Craft.^[4]

Buyers and Use Cases

Users are institutional investors, lenders, and deal teams performing due diligence on debt documents. CB Insights lists the served sectors as credit and lending, investment management, and mergers and acquisitions.^[3]

Questions to ask Street Diligence

Which document types and jurisdictions are supported, and how is extraction accuracy measured for covenants, definitions, baskets, and exceptions? How are amended agreements and document versions tracked? Can users inspect the source clause behind every extracted field? How are model changes versioned, and what validation is performed before generated summaries or comparisons are used in diligence?

Compliance and legal considerations

Credit agreements and deal documents can contain confidential, licensed, or privileged material. Buyers should verify document-access rights, retention and security controls, treatment of client-uploaded contracts, source traceability for extracted terms, and whether AI processing or model providers receive any document content.

Complementary signals

More datasets from Street Diligence

Street Diligence lists 1 datasets on this encyclopedia. The most representative listings:

More about Credit & Lending

Credit & Lending is one of the signal families covered by The Alternative Data Encyclopedia, with 13 providers and 63 datasets listed in the register. For how the signal is generated, its caveats and the compliance considerations, and the full provider list, see the category article.