AI agents for financial compliance, risk, and regulatory reporting
Wizpresso builds NLP and deep-learning software for financial services compliance workflows. The stack is C# + ASP.NET Core on the backend with Python for ML, paired with RAG—indicating a focus on retrieval-augmented generation for regulatory documentation. Current pain points center on ML system maintenance and AI output verification, which aligns with their project focus on testing LLM-driven outputs; the small, early-stage hiring mix (mostly interns and junior engineers) suggests they're pre-scaling the core product before expanding coverage.
Wizpresso is a Hong Kong-based fintech company founded in 2017 that develops AI agents for governance, risk, and compliance workflows in financial markets. The platform uses natural language processing and deep learning to automate regulatory reporting, knowledge management, and due diligence tasks. They operate with an 11–50 person team, primarily engineering and support roles, and are currently focused on customer enablement, product testing (adnoto and factify), and go-to-market activities. The company serves compliance and operations teams at financial institutions seeking to reduce manual regulatory documentation and reporting overhead.
Backend: C# and ASP.NET Core. ML/data: Python and RAG (retrieval-augmented generation). Frontend: JavaScript, HTML, CSS. Operational: HubSpot, Zoom, Teams, Excel, Google Sheets, PowerPoint.
Customer onboarding and enablement content, user acceptance testing of products called adnoto and factify, AI verification of LLM outputs, and go-to-market event logistics.
Other companies in the same industry, closest in size