About This Site
Excel-native AI agent for financial modeling and data analysis automation. Endex AI Agent is an Excel-native AI agent designed to automate Excel work and accelerate financial modeling and data analysis. Backed by OpenAI and ChatGPT, it provides integrated citations for auditable outputs, uses custom-built LLMs engineered for finance to understand complex financial documents, and unifies internal files, external data, and trusted sources into a single searchable plane for comprehensive analysis.
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Key Features AI
Core Features
Excel-native AI Agent
Auditable outputs with integrated citations
Custom-built LLMs engineered for finance
Unifies internal, external, and trusted data sources
AI-labeled tracing of cell references
Sheet navigation and jump to cells/ranges
Creation of repeatable firm templates
Customizable formatting shortcuts
Native access to OpenAI Deep Research
Memory for style preferences and workflows
Integration with major model providers with zero data retention
One-click undo for changes
PDF to Table Conversion for data entry elimination
Enterprise-grade security (AES-256, TLS 1.2/1.3, SOC 2, ISO, CCPA, GDPR)
No training on user data
Advantages
Significantly accelerates financial modeling and data analysis workflows.
Excel-native add-in, seamlessly integrated without needing a separate web application.
Outputs are fully auditable with direct citations to sources and cells.
Utilizes custom-built LLMs specifically designed to understand financial intricacies.
Unifies diverse data sources (internal, external, trusted) for comprehensive analysis.
Offers enterprise-grade security and compliance (SOC 2, ISO, CCPA, GDPR) with a strict no-user-data-training policy.
Provides actionable insights and reasoning, not just summaries.
Flexible for a wide range of Excel tasks beyond specific financial workflows.
Includes features like PDF to Table conversion and undo changes for efficiency and control.
缺点：Currently optimized for tabular and cell-based data manipulation, with charting and other data visualizations on the roadmap but not yet fully supported.
缺点：Pricing information is not publicly available; requires direct contact for custom deployment.
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