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Key Features
Benson King'ori edited this page Jun 11, 2025
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This document outlines the core features of the Frisque platform, organized by their development phase.
The Minimum Viable Product focuses on establishing a functional end-to-end system that proves the core concept.
- User Authentication: Secure user login and registration system.
- Scan & Company Management: A database and admin interface for managing target companies and tracking the status of each due diligence scan.
- Core AI Agent System: A basic multi-agent system featuring an Orchestrator and at least one worker agent capable of performing a simple task (like a web search).
- Asynchronous Task Processing: Integration of Celery to run time-consuming AI agent scans in the background without blocking the user interface.
- Simple Results Display: A basic web page to display the status and the final text-based memo generated by a completed scan.
- Email Notifications: Automated email notifications to alert users when their scan is complete.
Building upon the MVP, these features will add depth, intelligence, and a richer user experience.
- Advanced Data Input: A user interface for uploading various document types (pitch decks, financial statements) and providing links (social media, founder profiles).
- Selective Scans: The ability for users to choose which specific types of analysis to run (e.g., only run a Tech and Financial scan).
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Specialized AI Agents: A full suite of worker agents, including:
- Tech Bot: Assesses technology stack and scalability.
- Legal Bot: Identifies basic red flags in legal documents.
- Market Research Bot: Gathers market size, trends, and competitor data.
- Financial Bot: Performs basic analysis of financial statements.
- Structured & Scored Outputs: Generation of a more structured investment memo and a dashboard that includes key metrics and a "go/no-go" score.
- Real-time Updates: Use of Django Channels to provide live updates on scan progress directly in the user interface.
Looking beyond V1, these are some of the advanced capabilities we plan to explore.
- RAG - Chat with Your Scans: An interactive chat interface allowing analysts to ask natural language questions about completed scan reports.
- Comparative Analysis: The ability to compare scan results between different companies side-by-side.
- AI-Powered Deal Sourcing: Proactive agents that scan public data sources to automatically identify and flag potential investment opportunities based on the firm's thesis.
- Advanced Valuation Models: Integration of financial models like DCF to provide automated, preliminary valuation estimates.