Auquan builds AI agents that execute complete workflows across credit analysis, portfolio monitoring, ESG reporting, and compliance—eliminating manual effort rather than optimizing it. The tech stack (Python, SQL, React, FastAPI, MongoDB, Redis, Kubernetes on AWS/Azure) reflects a platform designed for high-throughput, data-intensive processing across multiple asset classes. Hiring is heavily skewed toward senior engineering (9 senior/lead engineers vs. 2 sales roles), and active projects center on scaling reusable workflow primitives and ESG automation—indicating a shift from early-stage product fit toward operational scale across front, middle, and back office.
Auquan is a London-based AI platform focused on institutional finance. The company builds autonomous agents that handle entire workflows end-to-end—from deal evaluation to portfolio review to compliance checks—across credit, investment, ESG, risk, and investor relations functions. The platform ingests data from over two million sources in 76+ languages and operates across front, middle, and back office. Clients include mid-market to large institutional investors and banks; the company's sales motion is account-focused rather than self-serve, matching the mission-critical nature of the work.
Auquan uses Python, SQL, React, and Next.js for application logic; FastAPI and MongoDB for backend services; Redis for caching; Kubernetes and Terraform for infrastructure; and AWS and Azure for cloud deployment.
Auquan is headquartered in London, United Kingdom, and actively hires in both the UK and United States.
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