Quantitative analytics firm ABC Quant has launched the Beta II release candidate of its AI-powered risk and portfolio management platform, Risk Shell AI, as part of its efforts to modernise risk analysis for hedge funds, asset allocators, and other institutional investors.
Unlike general-purpose AI models, Risk Shell AI has been developed specifically to address the complex workflows, language, and decision-making processes of professional investment teams. The platform incorporates a proprietary large language model (LLM) built and trained entirely in-house using ABC Quant’s two decades of experience with real-world portfolio data, client dialogues, and risk cases.
The platform is currently being rolled out to select pilot clients under a controlled deployment phase.
The Beta II release includes: a fully redesigned natural language interface; expanded institutional workflow support; and integration with Risk Shell’s suite of engines, including stress testing, factor attribution, scenario modelling, and optimisation modules.
Founded in 2005, ABC Quant supports a global institutional client base—including hedge funds, pensions, and family offices—with solutions spanning portfolio risk analytics, shadow accounting, due diligence, and scenario analysis. Its flagship product, Risk Shell, is recognised for its deep modelling capabilities and configurability.
The full commercial release of Risk Shell AI is expected following the beta program’s conclusion later this year.
