Lev operates a CRE financing platform built on Python, Flask, PostgreSQL, and React—a fairly standard fintech stack—but the product roadmap reveals an AI-first strategy: active projects span AI service buildout, AI-native developer tools integration, and a next-generation digital financing platform. The hiring mix is sales-led (five sales roles vs. four engineering), typical for B2B fintech at this stage, though the minimal recent hiring velocity suggests either stable product-market fit or a pause in growth spending.
Lev is a commercial real estate financing platform launched in 2019, headquartered in New York. The product combines a dataset of over 7,000 active lenders with AI-powered workflow automation to help deal professionals (brokers, borrowers) source funding and move from initial outreach to term sheet collection. The platform processes more than $2 billion in deal volume every 30 days. Core functions include lender matching, automated deal material generation, and outreach automation, all backed by SOC 2 compliance and enterprise-grade permissions. The company operates with 51–200 employees across sales, engineering, finance, HR, and marketing.
Python, Flask, GraphQL, PostgreSQL, React, FastAPI, and TypeScript. Development tools include Figma, Cursor, GitHub Copilot, and Replit.
Over 7,000 active lenders, with more than $2 billion in deal volume launched every 30 days.
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