Decisional AI is an advanced tool particularly designed for financial analysts. Its main function is to generate AI memos by pulling information from a multitude of public and private data sources.
Adapting to first principles-based qualitative research, this tool aids in crafting theses, accelerating due diligence, and accelerating portfolio management.
One main issue it helps tackle is the constant context switching due to data silos and multiple sources of knowledge. Moreover, it helps reduce the time spent on clerical research work, thus assisting in deepening the thought process.
Beyond the generation of memos, Decisional AI also has a unique feature that understands data and documents for auto-populating spreadsheet cells. It effectively helps to streamline workflows by eliminating manual tasks and easing metadata integration processes.
With high reliability and security, this tool ensures data confidentiality with no model training required using your data. It supports multiple advanced Large Language Models (LLMs), and also features its proprietary models.
It serves multiple types of queries and workflows. Decisional AI's application range includes due diligence and portfolio management, competitive analysis, growth projections and Discounted Cash Flow (DCF) models and table extractions.
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Pros & Cons
Built for financial analysts
Adapts to qualitative research
Accelerates due diligence
Supports portfolio management
Reduces context switching
Minimizes clerical research work
Auto-populates spreadsheet cells
Streamlines workflows
Ensures data confidentiality
No model training required
Supports multiple LLMs
Features proprietary models
Multiple query types
Embedded in multiple workflows
Applies for competitive analysis
Supports growth projections
Enables DCF models
Allows table extractions
Uses public and private data
Offers fact-based citations
Eliminates manual tasks
Eases metadata integration
High reliability and security
Application in due diligence
Authenticates accuracy from sources
Saves user time
Handles large data volumes
82% more accuracy
Setup 8 times faster
Requires no complex integration
Supports multiple language models
Supports queries and workflows
Streamlined back-office workflows
Enriches public companies' data
Provides revenue data querying
Supports 5 users/account
Caters to Private data sources
24/7 support
Limited to financial analysts
No model customization
Data source restrictions
No mention of scalability
Only supports Large Language Models
Proprietary model restrictions
Limited types of queries
Unspecified data confidentiality methods
Potentially complicated to set up
