Financial intelligence platform for asset-based finance and private credit
Cardo AI operates in asset-based finance and private credit, where $80B+ in assets flow through its platform. The tech stack reveals a dual-engineering pattern: a React/JavaScript frontend built on modern tooling (Webpack, Jest, testing libraries), paired with a .NET Core backend on SQL Server and PostgreSQL, plus message queues (Kafka, RabbitMQ) and containerization (Kubernetes, Docker). Active projects around generative AI and LLM evaluation frameworks signal a pivot toward agentic systems for transaction analysis and financial modeling—a capability gap the market feels acutely.
Cardo AI provides data management, predictive analytics, and portfolio optimization software for banks, originators, servicers, and asset managers in structured finance. Founded in 2018 and based in New York, the company operates at 51–200 employees across the US, Bulgaria, Albania, and Italy. The platform handles the full lifecycle of asset-based finance investments, from intake through portfolio decision-making. Hiring velocity is accelerating, with engineering roles dominating the current pipeline and early-stage work on generative AI applications.
Frontend: React, JavaScript, Webpack, Jest. Backend: ASP.NET Core, Entity Framework Core, SQL Server, PostgreSQL. Infrastructure: Kubernetes, Docker, ArgoCD, GitHub Actions. Message queues: Kafka, RabbitMQ, AWS SQS. Search: Elasticsearch. Also uses RAG technology.
Portfolio management system, generative AI applications, intelligent agentic systems, LLM evaluation frameworks, transaction analysis, and data integration for proprietary financial models in structured credit.
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