MiroFish

Product Introduction

1. Overview: MiroFish is a sophisticated AI-powered prediction engine and simulation chat platform designed to model complex social and market dynamics using a multi-agent orchestration framework.
2. Value: It empowers decision-makers to move beyond static data analysis by simulating real-world reactions to specific variables, such as price changes or policy shifts, before they are implemented.

Main Features

1. Multi-Agent Orchestration: Unlike standard LLMs, MiroFish runs multiple autonomous agents with diverse personas and incentives to simulate how different groups interact and react to new information.
2. Automated Knowledge Graph Construction: The system extracts actors, relationships, and factual anchors from unstructured seed material (PDFs, MD, TXT) to ensure all simulations are grounded in structured reasoning.
3. Result Cards & Prediction Reports: Generates interactive result cards and comprehensive reports that condense emergent behaviors into actionable insights, turning points, and confidence signals within a single conversation flow.

Problems Solved

1. Challenge: Traditional forecasting often misses the 'feedback loop'—how people, social groups, and markets react to each other's behaviors.
2. Audience: Product Managers, Policy Analysts, PR Strategists, and Market Researchers who need to stress-test narratives and strategies.
3. Scenario: A company can simulate a price increase to identify which specific customer segments will push back first and what narrative will likely spread across social channels.

Unique Advantages

1. Vs Competitors: While most tools provide a single answer, MiroFish provides a simulated environment where users can ask follow-up questions to explore second-order consequences.
2. Innovation: The 'Seed → Simulation → Report' workflow seamlessly bridges the gap between raw document analysis and high-fidelity behavioral forecasting.

Frequently Asked Questions (FAQ)

1. How does MiroFish predict scenario outcomes? MiroFish uses a knowledge graph to extract entities and then deploys a multi-agent system to simulate interactions between these entities based on specific incentives and social dynamics.
2. What industries benefit most from MiroFish? Any industry where public reaction and stakeholder sentiment are critical, including Retail (pricing), Public Policy (legislation), and Marketing (campaign testing).
3. Can I upload my own data for simulation? Yes, MiroFish supports 'Text-first' interaction where users can attach PDF, MD, and TXT files to act as the grounding seed material for the prediction engine.