AI-driven private credit lender for mid-market and late-stage companies
LIQUIDITY is a London-based private credit lender that runs its investment process on in-house AI. The stack pairs agent frameworks (LangGraph, AutoGen, RAG, Langfuse) with classic credit-modeling tools (XGBoost, LightGBM, SHAP, MLflow), and job posts point to risk scoring engines and agent-based workflows. Hiring is minimal and limited to ops and product roles in the UK.
LIQUIDITY provides flexible growth financing to mid-market and late-stage companies, using proprietary decision-science AI to support underwriting from origination through exit. The firm is headquartered in London and employs between 51 and 200 people. It describes regional coverage across North America, Europe, APAC and MENA. Its engineering base runs on Python, FastAPI, AWS serverless services, Kubernetes and a mix of PostgreSQL, MongoDB and Neo4j.
LIQUIDITY uses Python, FastAPI, AWS Lambda, AWS Step Functions, Kubernetes, PostgreSQL, Neo4j and MongoDB, plus ML and AI tools like PyTorch, XGBoost, SHAP, MLflow, LangGraph and AutoGen.
Job posts reference risk scoring engines, agent-based workflows and chat interfaces, consistent with its RAG, LangGraph and gradient-boosting model stack.
LIQUIDITY is headquartered in London, England, and its current hiring is focused in the United Kingdom across ops and product roles.
Other companies in the same industry, closest in size
LIQUIDITY's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
