How Kepler built verifiable AI for financial services with Claude (claude.com)

Kepler has announced the launch of a trust and verification layer specifically designed for AI applications in the financial services sector. Traditional tools in finance pull data but still require analysts for verification, making it challenging to trust AI-generated outputs—an issue underscored by feedback from 147 financial firms. To address these concerns, Kepler built a deterministic infrastructure that leverages Claude, a powerful AI model, for reasoning and interpretation. This combination allows analysts to pose complex financial questions in plain English and receive immediately verifiable answers, thereby enhancing the reliability of AI in a regulatory environment. The significance of Kepler's platform lies in its ability to handle intricate financial analyses accurately, which other models struggle with, especially during multi-step tasks. Unlike competitors, Claude maintains task integrity and seeks clarification when ambiguity arises, minimizing downstream errors crucial in finance. The platform utilizes a modular architecture, enabling rapid development and deployment of features while ensuring compliance and audit trails essential for regulatory scrutiny. Kepler’s approach not only enhances trust in AI within finance but is also adaptable across various domains requiring verifiable answers from extensive document collections. With foundational work laid down, Kepler aims to extend its capabilities beyond finance, signaling potential advancements in sectors like healthcare and legal fields.