GameConsultant

$190B gaming market. Most games fail. We simulate who won't.

Predict · Prescribe · Succeed

The Problem

The $190B Blind Spot

AAA Studios

$200M+ budgets, decisions driven by gut feel and committee politics. Risk-aversion kills innovation — they repeat what worked last decade.

Publishers

Fund 30 titles, pray 3 hit. No reliable way to evaluate pitches beyond "does it look like something that already succeeded?"

Investors

Play a demo, read the deck, guess. No quantitative framework for game investment decisions.

No data-driven system exists for predicting game success during development.

The Insight

Success Leaves Patterns

The same design decisions produce the same outcomes — across genres, budgets, and eras. With enough data, these patterns become predictive.

Hades (2020) — Supergiant Games

Tight core loop, roguelike progression with persistent narrative, emergent build diversity. Small team, clear audience, every design choice reinforces retention.

Result: 7M+ copies, 93 Metacritic, $130M+ revenue

Concord (2024) — Firewalk Studios / Sony

Saturated hero-shooter market, no differentiator, $200M+ budget, zero pre-launch community, unclear audience. Every anti-pattern in the book.

Result: ~700 peak players, servers shut down in 2 weeks, studio closed

We don't just observe these patterns — our AI agent swarms discover and quantify them at scale.

The Solution

We Simulate the Future
Before You Build It

Thousands
of Games

Reviews, metrics,
design docs, outcomes

AI Agent
Swarms

Dozens of specialists
analyzing in parallel

Pattern
Database

What actually causes
success or failure

Simulate
Success

Predict outcome
before you ship

Swarms of AI agents analyze every dimension of a game — mechanics, market, psychology, monetization, community — then cross-reference against thousands of known outcomes to simulate yours.

No one else does this. This dataset doesn't exist anywhere else.

The Team

Human Expertise × AI Scale

Peter

Game Consulting Analyst · Domain Expert

20+ years in game consulting. Reads design docs, plays builds, identifies what works and what doesn't — before the market decides. His pattern recognition is the foundation our AI learns from.

Josh

AI/ML Engineer · Technical Architect

20+ years engineering. Builds the AI agent swarms, data pipelines, and prediction models that scale Peter's expertise to infinite throughput. Ships fast, builds to last.

Our Moat: A synthetic pattern database that doesn't exist anywhere else — built from Peter's domain expertise, scaled by Josh's AI systems, growing with every game analyzed.

The Market

Who Pays for Certainty

Investment
Intelligence

Self-Serve
Platform

Flagship
B2B

Go-to-Market

Step 1: AI-enhanced consulting — Peter's clients get 10x depth at same price
Step 2: Proven results → self-serve platform → every studio gets access

Consulting+

AI-enhanced expert sessions

$5K–$25K

Self-Serve

Automated analysis reports

$200–$500

Full Coaching

10% of game earnings

Rev Share

$250K

Year 1 Target

$1M

Year 2 Target

Traction & Roadmap

Where We Are

Live Platform

Now

Full platform live
AI agent + RAG pipeline
Knowledge base + doc analysis
Investor interest active

Q3 2026

500+ games analyzed
Pattern database v1
First paying consulting clients

Q1 2027

Prediction model live
5,000+ games in database
Self-serve tier launched

2027+

10,000+ games analyzed
API for studios & publishers
Investment-grade risk reports

Working product. AI pipeline live. The system exists — now we scale it.

Every game studio deserves to know their odds
before they bet everything.

We're building that future.

We're looking for a strategic partner to accelerate:
Industry access, pattern database scale, first enterprise clients.