AI-powered private credit lender for mid-market and late-stage companies
Liquidity deploys $10M–$200M in flexible capital to mid-market and late-stage companies, backed by MUFG Bank, Spark Capital, KeyBank, and others. The tech stack—LangGraph, AutoGen, Python, FastAPI, PostgreSQL, Neo4j—reveals an AI-first decision-science platform underpinning underwriting and deal origination. Hiring velocity is accelerating heavily into finance leadership (director and VP roles) while working through SOC 2 compliance and portfolio risk monitoring, signaling scaling of both deal flow and operational infrastructure.
Liquidity is a London-based private credit firm providing financing to growth-stage companies across North America, Europe, APAC, and MENA. The company positions itself around three operational pillars: AI-driven deal origination and underwriting, flexible capital structuring from $10M to $200M, and regional expertise across key markets. Active projects span high-value credit negotiations, European middle-market channel development, product refinement, and financial modeling. The 51–200 person team is finance-heavy, with recent hiring concentrated in director and VP roles, reflecting both deal pipeline scaling and governance build-out.
LangGraph, AutoGen, Python, and FastAPI power the decision-science layer. PostgreSQL and Neo4j handle structured data and relationship modeling. Langfuse and Datadog provide observability and monitoring.
Liquidity deploys between $10 million and $200 million per transaction to mid-market and late-stage companies globally.
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