We Predicted What
CEOs Could Not.

Hundreds of AI agents. One simulated environment.Every stakeholder, competitor, and market reacting to your decision.Stop guessing. Start simulating.

Built on MiroFish swarm architecture & OASIS simulation engine
0%Directional Accuracy
0Simulations Scored Against Reality
0Prediction Dimensions Tested
0%Times We Even Beat Our Human Experts

See the Agents Think

Each node is an AI agent with unique incentives and logic - hover to see what they said

Visualization of a multi-agent simulation - consumers, investors, competitors, restaurants, and media interacting across 30 rounds

The Proof

Directional accuracy across 10 case studies

Zomato Fee Hike

Consumer Pricing|2026
100%
11
Details

Liberation Day Tariffs

Trade Policy|2025
95%
9 1
Details

Meta Policy Change

Platform Governance|2025
95%
10 1
Details

IIMA Blended MBA Launch

Higher Education|2024
95%
10 1
Details

Oracle 30K Layoffs

Corporate Strategy|2026
94%
8 1
Details

HP-Autonomy Acquisition

M&A Advisory|2011|$8.8B Write-Down
90%
9 1
Details

Quibi Launch

Product Launch|2020|$1.75B Burned
90%
9 1
Details

JC Penney Fair & Square

CEO Strategy|2012|$985M Loss
85%
8 1 1
Details

Meta Metaverse Pivot

Strategic Pivot|2021|$80B+ Losses
73%
7 2 2
Details

S&P 500 2024 Forecast

Financial Markets|2024
60%
5 2 3
Details
Hit Partial Miss

Only publicly available pre-event documents. No proprietary data. Click any row to see predictions vs. reality.

All seed documents, ground truth data, and accuracy scores are derived from publicly verifiable sources - news reports, SEC filings, earnings calls, and official announcements. Every claim can be independently verified.

Would We Have Warned Them?

Every wrong decision was once someone's best guess

JC Penney

$985M Loss
What the Expert Said

"Customers want honest pricing. We didn't test at Apple, we don't need to test here."

- Ron Johnson, CEO

What We Simulated

EDLP logic fails in department stores. Coupon-trained customers lose their 'trip reason.' Traffic collapses first.

What Actually Happened

Same-store sales crashed 32%. $985M net loss. Johnson fired after 17 months.

We Would Have Warned Them

HP-Autonomy

$8.8B Write-Down
What the Expert Said

"$11B for Autonomy will accelerate HP's software pivot."

- HP Board + Leo Apotheker

What We Simulated

Immediate market rejection. 6-hour due diligence creates credibility crisis. CEO survival unlikely beyond 12 months.

What Actually Happened

Stock dropped 20% day one. Apotheker fired in 35 days. $8.8B write-down. Decade of litigation.

We Would Have Warned Them

Quibi

$1.75B Burned
What the Expert Said

"$1.75B from top investors proves premium short-form mobile content works."

- Katzenberg + Whitman

What We Simulated

Front-loaded adoption fails at 'conversion hinge.' Mobile-only + no social = no habit formation.

What Actually Happened

500K subscribers vs 7.4M target. Shut down in 6 months. Sold to Roku for under $100M.

We Would Have Warned Them

What Would You Simulate?

Every card is a real question a client has asked - or could ask tomorrow

Pricing

How will customers react to a 15% price increase?

Policy

Will new tariffs crash the market or get walked back?

Launch

Will this product launch succeed or burn through cash?

M&A

Will this acquisition be worth the premium?

Strategy

Will this bold strategy pivot work or alienate our base?

Crisis

How will the public react to our announcement?

HR

What happens to morale and talent after mass layoffs?

Markets

Where will the market land this year?

Political

How will voters respond to this policy or message?

If your decision involves stakeholders who react to each other, we can simulate it.

How It Works

From scenario to strategic report in 5-7 days

Step 1Multi-Source Intelligence

Data Collection

We gather intelligence from 50+ public sources - government filings, SEC reports, news archives, social discourse, academic research, and market data. No guesswork, no single-source dependency.

Every fact is cross-referenced. Every claim is sourced.

Step 2GraphRAG + Zep Cloud

Knowledge Graph

AI extracts every entity, relationship, and causal link from your scenario - building a structured map of who influences whom and why.

Typically 30-50 entities with 100+ relationships.

Step 3MiroFish Engine

Agent Generation

Each entity becomes an AI agent with a unique persona - distinct incentives, memory, behavioral logic, and decision-making style. No two agents think alike.

30-50 agents per simulation, each with a full profile.

Step 4OASIS Simulation

Multi-Round Simulation

Agents interact across 30 rounds in a simulated social environment - posting, reacting, debating, forming coalitions, and shifting opinions. What takes months in the real world surfaces in hours.

Typically 500-1,500+ interactions per simulation.

Step 5Human Expert Review

Strategic Report

Our analysts interpret the simulation output, validate against known patterns, and deliver actionable recommendations - not just data, but decisions.

Human + AI analysis. The Centaur advantage.

5-7 days. Not 5-7 months.

From scenario to strategic report - months of market dynamics compressed into days. Why guess when you can see?

How We Gather Intelligence

Every simulation starts with rigorous, multi-source data collection - not opinions, not guesswork

Government & Regulatory Filings

Executive orders, budget documents, policy drafts, court rulings, FTC filings

Financial Data & SEC Filings

Earnings transcripts, 10-K reports, analyst notes, stock performance, fund flows

News & Media Archives

Reuters, Bloomberg, Economic Times, WSJ, industry publications, press releases

Social Discourse & Sentiment

Reddit threads, Twitter/X discussions, LinkedIn posts, forum debates, review sites

Market & Industry Research

Kantar surveys, YouGov data, Mordor Intelligence, Statista, Pew Research, IMF reports

Academic & Peer-Reviewed Sources

ArXiv papers, Harvard Business Review, Stanford HAI, NBER working papers

From raw data to simulation-ready intelligence

Collect

Multi-source data harvesting from 50+ public databases and archives

Structure

AI-assisted entity extraction and relationship mapping via GraphRAG

Validate

Cross-reference verification - no single source, no unverified claims

Simulate

Structured data feeds the knowledge graph that powers agent reasoning

What We Find That Others Miss

Silent Frequency Collapse

Small orders quietly vanish, degrading delivery density before anyone notices revenue loss.

Bond Market Stress

The real reason Trump paused tariffs - the bond market, not the stock market.

Notes Wars

The new battleground is annotation legitimacy, not content removal.

Paper Capacity vs Rack Capacity

Backlog grows as financial artifact while delivery is constrained by physics.

The Conversion Hinge

When 'free' ends, users evaluate value simultaneously - creating a synchronized churn cliff.

Concentration Fragility

Magnificent 7 drove 55% of returns - the index was less diversified than it appeared.

Silent Frequency Collapse

Small orders quietly vanish, degrading delivery density before anyone notices revenue loss.

Bond Market Stress

The real reason Trump paused tariffs - the bond market, not the stock market.

Notes Wars

The new battleground is annotation legitimacy, not content removal.

Paper Capacity vs Rack Capacity

Backlog grows as financial artifact while delivery is constrained by physics.

The Conversion Hinge

When 'free' ends, users evaluate value simultaneously - creating a synchronized churn cliff.

Concentration Fragility

Magnificent 7 drove 55% of returns - the index was less diversified than it appeared.

Could we have warned your company?

Describe the scenario you're facing. We'll simulate how your stakeholders, competitors, and markets will react - and deliver the strategic forecast in days. Know before they do.

[email protected] - We respond within 24 hours