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AI Platform Transforms Complex Investment Analytics with Natural Language Interface
WILMINGTON, Del. - Marylandian -- ABC Quant, LLC, a leading provider of advanced risk management and analytics solutions for the alternative investment industry, today announced the Beta II release candidate of its new Risk Shell AI platform.
Unlike general-purpose AI models, Risk Shell AI is purpose-built to meet the complex analytical requirements of institutional investors, including hedge funds, pensions, family offices, and asset allocators. Designed from inception to understand the specialized workflows, language, and decision frameworks of professional investment teams, the platform represents a significant step forward in domain-specific artificial intelligence.
Risk Shell AI is powered by a proprietary large language model (LLM) developed and trained entirely in-house by ABC Quant. Drawing on over 25 years of experience serving global investment clients, the model has been fine-tuned using real-world portfolio data, risk cases, due diligence processes, client dialogues, and investment research pipelines. The result is an AI system that not only understands technical terminology and modeling techniques, but also interprets the context and intent behind investment decisions.
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"Our objective with Risk Shell AI is to bridge the gap between complex risk and portfolio analytics and the intuitive needs of investment analysts. The platform replaces traditional, highly specialized financial GUIs with a natural language interface capable of translating speech or typed input into advanced analytical workflows," said Andrew Grauberg, Chief Executive Officer of ABC Quant.
"It has taken more than two years of focused development to train Risk Shell AI to interpret natural speech and translate it into precise micro-commands compatible with Risk Shell's analytical engines. As of July 2025, the system has been trained on more than 2.3 billion tokens of proprietary and domain-specific investment content," added Paul Silverberg, Chief Technology Officer of ABC Quant.
The Beta II release candidate includes a redesigned interface for natural language interaction, expanded support for institutional workflows, and integrated access to Risk Shell's portfolio engines—including stress testing, scenario modeling, factor attribution, and optimization modules. The system is currently being piloted by select clients under controlled deployment.
More on Marylandian
About ABC Quant
ABC Quant, LLC is a leading provider of quantitative models and analytical software for institutional investors in the alternative investment space. Since 2005, the firm has supported a global client base—including hedge funds, fund-of-funds, family offices, pension plans, and banks—with solutions that span portfolio risk analytics, due diligence, shadow accounting, and scenario modeling. ABC Quant's flagship SaaS platform, Risk Shell, and its growing suite of proprietary models are recognized for their depth, flexibility, and alignment with the needs of professional investment teams.
Unlike general-purpose AI models, Risk Shell AI is purpose-built to meet the complex analytical requirements of institutional investors, including hedge funds, pensions, family offices, and asset allocators. Designed from inception to understand the specialized workflows, language, and decision frameworks of professional investment teams, the platform represents a significant step forward in domain-specific artificial intelligence.
Risk Shell AI is powered by a proprietary large language model (LLM) developed and trained entirely in-house by ABC Quant. Drawing on over 25 years of experience serving global investment clients, the model has been fine-tuned using real-world portfolio data, risk cases, due diligence processes, client dialogues, and investment research pipelines. The result is an AI system that not only understands technical terminology and modeling techniques, but also interprets the context and intent behind investment decisions.
More on Marylandian
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"Our objective with Risk Shell AI is to bridge the gap between complex risk and portfolio analytics and the intuitive needs of investment analysts. The platform replaces traditional, highly specialized financial GUIs with a natural language interface capable of translating speech or typed input into advanced analytical workflows," said Andrew Grauberg, Chief Executive Officer of ABC Quant.
"It has taken more than two years of focused development to train Risk Shell AI to interpret natural speech and translate it into precise micro-commands compatible with Risk Shell's analytical engines. As of July 2025, the system has been trained on more than 2.3 billion tokens of proprietary and domain-specific investment content," added Paul Silverberg, Chief Technology Officer of ABC Quant.
The Beta II release candidate includes a redesigned interface for natural language interaction, expanded support for institutional workflows, and integrated access to Risk Shell's portfolio engines—including stress testing, scenario modeling, factor attribution, and optimization modules. The system is currently being piloted by select clients under controlled deployment.
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About ABC Quant
ABC Quant, LLC is a leading provider of quantitative models and analytical software for institutional investors in the alternative investment space. Since 2005, the firm has supported a global client base—including hedge funds, fund-of-funds, family offices, pension plans, and banks—with solutions that span portfolio risk analytics, due diligence, shadow accounting, and scenario modeling. ABC Quant's flagship SaaS platform, Risk Shell, and its growing suite of proprietary models are recognized for their depth, flexibility, and alignment with the needs of professional investment teams.
Source: ABC Quant, LLC
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