Cognima

The AI-Native
Product Factory.

AI-NATIVE APP & GAME FACTORY

hello@cognima.ai · cognima.ai

The Problem

App development is
fundamentally broken.

90% of app startups fail before reaching $1M ARR.
$150K

Cost to Build

Average cost to build and launch a single mobile app.

CLUTCH MOBILE DEV SURVEY 2025
15-30

Team Size

People required for a typical studio shipping one title per year.

GAMEREFINERY BENCHMARKS
12-18

Months

Time from concept to revenue for traditional dev teams.

And even with these investments, most never find product-market fit.

The Paradigm Shift

AI reached maturity.
The cost structure flipped.

Traditional Model

Large teams (15–30 engineers)
12–18 month dev cycles
$150K–$500K per product
1–2 launches per year
AI-NATIVE

Cognima Factory

Micro-teams (2–3 engineers)
2–6 week dev cycles
$5K–$20K per product
40 launches per year

This isn't incremental. This is a 20× cost advantage and 10× speed advantage.

Our Solution

The world's first AI-native
product factory.

Cognima deploys hyper-lean teams of 2–3 elite engineers who use vibe coding, generative AI, and autonomous agents to ship revenue-generating apps and games.

Cognitive Coding

Natural language to production code. Engineers describe intent; AI generates, tests, and ships.

AI Agent Stack

Autonomous agents handle QA, analytics, monetization, and ASO — tasks that used to require teams.

Rapid Fire Model

Launch 40 products/year. Kill fast, double down on winners. Portfolio theory for product development.

Our moat: Repeatable process + founder product intuition + compounding playbook IP.
Ideation Strategy

Proven concepts,
reimagined with a twist.

The Cognima Model

01. SCAN

AI analysis of top-grossing apps. Identify proven loops.

02. CLONE

Replicate 90% of the proven formula (game loop, monetization).

03. TWIST

Add 10% innovation (Art, Theme, Mechanic) to differentiate.

04. SHIP

Launch in 2–4 weeks. Let data decide.

The 90 / 10 Rule

90% Proven
10%

Safety + Differentiation = High ROI

Why this works: We de-risk by building what people already pay for. Speed compounds—Product #20 hits harder than #1.

The Cognima Method

Idea to revenue
in 4 weeks.

01

Ideate

AI market scanning. Scoring: TAM × Difficulty × Monetization Fit.

Day 1-2
02

Build

Vibe coding pipeline: prompt → prototype → functional app.

Day 3-14
03

Ship

AI-generated assets, ASO optimization, automated store submission.

Day 15-21
04

Scale/Kill

D7 metrics hit? Pour fuel. If not: kill & redeploy.

Day 22-30
D7 DECISION TRIGGERS: D1 > 40% D7 > 20% CPI < $0.50 We kill ~80% of apps. The 20% fund everything.
Business Model

Own everything.
Scale winners.

60%

Mobile Games

Hyper-casual, puzzle, idle. Ad + IAP hybrid. Fast to build (2–4 weeks), fast to test.

CASH FLOW ENGINE
30%

Consumer Apps

Utility, productivity, lifestyle. Subscription & freemium. Higher LTV.

RECURRING REVENUE
10%

Experimental

Moonshots: AI tools, niche SaaS. High-risk, high-reward tail.

ASYMMETRIC UPSIDE

100% owned products. No client work. No services.

AI-Native Tech Stack

Every layer is
AI-augmented.

CODE GEN Claude Code · Cursor · Windsurf · Replit Agent
DESIGN Midjourney · DALL-E 3 · Figma AI · Rive
TESTING AI QA bots · automated regression · crash analytics
GROWTH AI ASO · programmatic UA · auto-creative generation

Production Pipeline Moat

  • ✓ Standardized templates (RN, Unity)
  • ✓ Pre-built monetization modules
  • ✓ Automated store submission
  • ✓ Product scoring algorithm (100+ launches)

Tools are commoditized. Process + intuition are not.

Market Opportunity

$420B market.
First-mover window.

TAM
$420B
SAM
$85B
SOM
$500M
4.5B

Smartphone users globally

20×

Our cost advantage vs legacy

15%

YoY mobile game growth

Unit Economics

Resilient economics
at every scenario.

Cost Per Product

$5K TOTAL
Engineering$3K - $8K
AI Tools$500 - $1K
Design$200 - $500

Winner Economics

$5M+ ANNUAL REV
Winner Avg Rev$30K - $100K/mo
Breakeven< 30 Days
ROAS (90d)300% - 800%

NET PORTFOLIO ROI: 1,100%

Hit rate → 10% (Still 500% ROI) | Break-even hit rate: 6%
5-Year Trajectory

Path to $120M.

$1.5MY1
$8MY2
$28MY3
$65MY4
$120MY5

Y1-2: Validate

Ship 30 products. Find first hits. $8M rev. EBITDA positive.

Y3: Scale

15 live products. 3 teams. Intl markets. 45% EBITDA.

Y4-5: Exit

$120M Rev. Breakout products. Strategic exit or IPO.

Competitive Landscape

Why legacy studios
can't pivot.

Traditional Studios

15-30 person teams. Waterfall mindset. Legacy codebases. Org antibodies reject AI.

CAN'T PIVOT

Other AI-Native

YC W25 clones. No exit expertise. No cost advantage (hiring in SF). No compounding playbook.

CATCHING UP

Cognima

Leadership DNA from multiple exits. Turkey talent arbitrage (1/5th cost). Compounding IP.

WINNING
Why We Win

Four unfair advantages
that compound.

Speed as Strategy

40 attempts/year vs competitors' 1–2. More shots on goal = more hits.

40x

Economics of Zero

$5K per launch vs industry $250K. Break-even is a rounding error.

25x

Compounding Process

Every product trains our pipeline. Product #20 is 5× faster than #1.

5x

Talent Arbitrage

Elite CS talent from Turkey/MENA at 20% of SF cost + AI amplification.

80%
Cognima

The future of software isn't built by big teams.

It's forged by engines.

hello@cognima.ai
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