The Intelligent Studio for Financial Enterprises
A collaborative AI-native environment where data, analyses & visualizations intersect – transforming institutional workflows into natural language-enabled, logic-driven paradigms
Alternative Ways of Analyzing Data for an Alternatives Investor
CellarDoor is built with existing and future third-party subscriptions and platforms in mind. Specifically, customers can access, organize, and analyze information from existing data subscriptions and providers – as well as their core platforms such as CRMs, internal file systems, and digital storage drives
CellarDoor lives on top of these systems – ensuring a secure, one-way data access path
Deployed With
Use Cases
Retention Analysis
Transform revenue by customer data into a dynamic, presentation-ready retention analysis through natural language
Financial Reporting
Update company financial reporting packages with the latest raw general ledger data through machine learning automation
Market Mapping
Seamlessly research & generate a deliverable-ready market map of companies within a target sub-sector
Alternative Dataset Generation
Combine company retail site P&Ls with U.S. demographic data in a single, unified platform to enhance board-level strategic decisions
Site P&L + Demographics Mapping
Use natural language to pull an externally-sourced dataset of web information based on specific collection parameters
Data Structuring & Cleanup
Automate the structuring & analysis of raw data files into clean, useful datasets
CellarDoor utilizes an evolving memory layer that is critical for information recall and transfer, performance, and reliability. It acts as an expandable, persistent knowledge repository that complements the system’s reasoning and output capabilities.
Deploy
Tune
Manage
Built with
The layers powering the platform
Import data from internal and external sources alike. Generate custom datasets for tailored needs and layer them into a variety of workflows
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