Debt marketplaces
Lev
Lev builds software for commercial real estate teams. The current product system is organised as apps, agents, data layers and platform tools: a CRE-native CRM holding relationship history and lender activity, a deal pipeline tracking lender stages, task ownership and closing risk, and a secure deal room for borrower files, diligence requests and version handoffs.
On top of that sit three named products. Lev Match ranks lenders for a financing request using search intent, deal context, relationship paths and recent lending activity, and shows each lender's programme mix, asset-type and loan-size breakdowns and recent transactions. Lev Memo builds offering memorandums, financing packages and investment committee memos from facts confirmed in the deal Index, where each value stays tied to the document and page it came from and conflicts are resolved before generation. Lev Agent answers questions grounded in Lev records, shows its tool calls, and prepares drafts, checklists and outreach that a person approves before anything is sent.
The Lev API exposes deals, documents, facts and lender data as JSON resources with scoped API keys, cursor pagination, field selection and a request ID on every response, so indexed facts keep their provenance downstream. The company is at 50 W 17th St in New York, publishes (888) 977-4117, and says it has raised over $110 million from venture firms, banks and commercial real estate firms.
The site now presents Lev as software licensed to sponsors, brokers and enterprises rather than as a party that places a loan. Anyone who came looking for a financing intermediary should confirm which role Lev would play on their deal, and ask for pricing, since plan terms are not published in the pages above.
Best for
Sponsors, brokers and capital markets teams that want deal records, documents and lender data in one system with AI drafting on top. Not the right stop for an owner who simply wants someone to place a single loan.
What they do
- CRE-native CRM
- Deal pipeline and lender stage tracking
- Secure deal room for diligence files
- Lender search and ranking (Lev Match)
- Offering memorandum and IC memo generation (Lev Memo)
- AI deal assistant (Lev Agent)
- Document fact extraction with source citations
- API access to deals, documents, facts and lender data
What stands out
- Says it has raised over $110 million from venture firms, banks and commercial real estate firms.
- Lev Memo builds OMs, financing packages and IC memos from confirmed facts, each tied to its source document and page.
- Lev Match ranks lenders using deal context, relationship paths and recent lending activity.
- The API issues scoped keys and returns JSON envelopes with a request ID on every response.