Live Pitch Deck — Not a Public Marketing Site

A <5-Person, AI-Built
IP Ecosystem.

Evidence behind every claim. Deeper proofs available under NDA.

20+ integrated modules · 8 specialized domains · Solo + AI · No agents · Self-funded ~$700K

Explore the Live Deck View Public Proof Pack Request NDA Layer
<5
Team Size
168K+
Organic Users
3
Proof Layers
Before You Explore

Before You Judge,
See the Scale.

This is not a marketing website. It's a Live Pitch Deck for partners, investors, and press. The output here was built in Phase 2 primarily by one person with AI — no agents, no automation pipelines.

SEO and final polish were intentionally deprioritized. The priority was building the IP architecture. Much of the evidence is confidential, presented under NDA — but public proof packs exist and are verifiable.

If you're here to quickly judge from one scroll, you'll miss the architecture. This deck is modular. Read sections fully.

Live Pitch Deck Solo + AI Build IP-First, Polish-Later Layered Proof System
Read Our Full Story
Integrated Super-App Ecosystem

Mazzaneh
20+ Modules.
One Ecosystem.

A modular AI-commerce super-app where each module functions like an organ in a digital body — interconnected, mutually dependent, and designed so that copying one piece without the whole system delivers no real value.

168K+ organic users · Consent-first data architecture · 100% bootstrapped

Radar Board Pulino Analytics StyleFinder LiveMap +14 more
Explore Mazzaneh
Commercial Platform

Mazzaneh

Smart commerce ecosystem with 20+ integrated modules — each functioning like an organ in a digital body

mzncompany.com/mazzaneh

MAZ-RADAR

Real-time GPS-based search engine connecting buyers with local sellers instantly — the industry's fastest O2O response.

  • Radar Core — Instant discovery & matching
  • Radar Broadcast — Multi-channel notification
  • Radar Routing — Optimal seller selection
Core Module

Click card for details & demo

MAZ-RADAR Board Pulino Begir Analytics Gram MAZ-STYLE VIP
MAZ-RADAR
Real-time search
Board
Gamified ads
Pulino
Data wallet
Begir
Order capture
Analytics
Behavioral AI
Gram
Visual catalog
MAZ-STYLE
Style AI
VIP
Loyalty system

20+ modules total — Complete modular AI-commerce ecosystem

AI Wearable Assistant

ZOYAN

Smart ring with cognitive layers, emotional logic, memory system and safety rules

www.mzncompany.com/zoyan
ZOYAN Smart Ring

8 Integrated Components

Voice-first, hands-free AI assistant designed for 24/7 personal support with edge-aware processing.

  • Hardware & Firmware Design
  • Voice Processing & Wake Word
  • Multi-module Orchestration
  • Health & Biometric Tracking
  • Privacy & SDK Platform
Voice-First 24/7 Edge-Aware
AI Technologies

Zoe

Advanced science, algorithms and architectures for building next-generation language models and AI systems

Learn more
60-80%
Potential Computational Cost Reduction

LLM Development Science

Comprehensive research into optimization technologies, security architectures, and efficiency frameworks for language model development. Years of documented experiments, theoretical frameworks, and practical implementations.

  • 16 Optimization Technologies
  • 23 Security Architectures
  • 12+ Documented Ideas with Impact Analysis
Zoe Security Dashboard

Core Research Areas

Energy Optimization
Progressive activation systems that reduce computational overhead by activating only necessary model components based on query complexity and user context.
Security Architectures
Multi-layer defense systems including behavioral anomaly detection, output-centered safety protocols, and adaptive threat response mechanisms.
Cognitive Memory
Slot-based memory systems with confidence tracking, automatic deactivation of redundant processes, and cross-session personalization capabilities.
Multi-Brain Architecture
Specialized processing units (Creator, Technical, Decision, Minimal brains) that route queries to optimal pathways, reducing energy consumption while improving output quality. Each "brain" optimized for specific task types.
Output-First Safety
Paradigm shift from input blacklisting to output validation. Every response validated against safe templates, ensuring robust protection regardless of input obfuscation techniques.
Documented Technologies
39 components
Multi-Brain Architecture
UIOP Protocol
Suprompt Framework
DCA System
Output-First RP
Slot-Based Memory
Green Map Tracking
Energy Lock
Psych User Mapping
Meta-Security
Behavioral Canary
Output-Centered Safety

Projected Impact Metrics

60-80%
Cost Reduction
30-60%
Fewer Prompts
2-4×
Reasoning Quality
99.95%
Cache Hit Rate

All technologies documented with SHA-256 verification — Details available under NDA

AI Verification System

AVA

Create the world's first AI-powered certificate with 6-layer authenticity verification and blockchain registration including model conversation logs

avaverify.com

AVA — AI Certificate Verification

World's first AI-powered certificate system with 6-layer authenticity verification, blockchain registration, and complete model conversation logs for unprecedented transparency and trust.

  • 6-Layer Authenticity Verification
  • Blockchain Registration & Timestamping
  • Complete AI Conversation Logs
  • First-of-its-kind AI Certificate System
AVA Evidence Pack
AGI Theoretical Framework

BioCode

The foundational language of consciousness — consciousness not as a byproduct, but as evolved biological language

Learn more Read on Medium
BioCode Layers
1
Physics
Simulation architecture
2
Biology
Emotion modeling
3
Consciousness
Awareness theory
4
AGI
Safety framework

"13 components exploring the potential to reshape AGI research"

Build Phases

Two Phases. One Vision.

From team-based development to solo AI-first construction.

Phase 1 · 2020–2024
Team-Based Foundation

Classical startup path with up to 27 team members. Built initial platform, tested market, established brand foundations. Team evolved from 27 to 5 to 1.

Up to 27 People Classical Team Market Testing
Phase 2 · Early 2025–Present
Solo + AI Construction

One person with public AI tools (no agents, no automation pipelines). Compressed the entire idea-to-execution cycle. Output volume that typically requires multi-team operations.

1 Person + AI No Agents ~95% Solo
Constraint Stack — Phase 2
Solo build (~95%)
No agents or automation
Iran (unstable internet)
English as second language
Self-funded (~$700K)
Public AI tools only (Plus)
Cross-Domain

8 Domains. Simultaneously.

These are typically handled by separate specialized teams. Here, one person covered all eight.

AI Architecture Security Behavioral Economics Product Design Computational Biology Cost Modeling Super-App Build Patent Filing

Not 8 isolated projects. These are interconnected domains feeding into one unified ecosystem — cross-referencing, mutually dependent, and architecturally linked.

What Exists Now

Tangible Output

Everything listed here exists today — documented, verifiable, and ready for review.

Documented Architecture

Hundreds of pages of technical specifications, system design documents, and architectural frameworks.

Live App & Dashboards

Mazzaneh app is fully active with tested modules, thousands of active sellers on the live map with clickable profiles.

Proof Packs

SHA-256 hashes, timestamps, blockchain anchoring, manifests — cryptographic proof of authorship and priority.

Patent-Level Frameworks

BioCode, Multi-Brain Architecture, UIOP, Suprompt — each with patent-grade claims and detailed specifications.

Metrics & Growth

168K+ organic users, ~$700K self-funded, documented stats and results across modules.

Complete Site & Content

Full website design, UX, English-first content production, pitch deck, and presentation materials.

Defensive Moat

Why It's Hard to Copy

22+ modules feeding each other. Copying one piece without the whole system delivers no real value.

Mutual Module Dependencies

Each module feeds and is fed by others. Radar needs Board, Board needs Pulino, Analytics needs all three. No isolated value extraction.

Integrated Data Flows

Consent-first data architecture where user signals flow across modules, creating compound intelligence no single component can replicate.

Security & Consent Protocols

GPU Sentinel, consent-first data capture, and multi-layer security woven into every module — not bolted on.

Cross-Domain Knowledge

The architecture spans 8 specialized domains simultaneously. Replicating requires the same breadth of expertise, not just engineering.

Evidence System

Three Layers of Proof

Every major claim is documented. Access increases with trust.

Public
Open Verification

Available to anyone without agreement.

SHA-256 hashes & timestamps Blockchain anchoring Festival acceptance emails Screenshots & manifests
NDA
Restricted Access

Available under signed NDA only.

Development logs Architecture documents Security research IP similarity analysis
Private
Strategic Reserve

Not currently shared. Held for strategic purposes.

Genesis protocols Unpublished outputs Conversation archives Full vulnerability research
The Question

Is producing this volume
across 8 domains, in <9 months,
by <5 people, with AI but no agents,
under these constraints…

Normal? Or Anomaly?
If this is the ceiling without agents…

What does Phase 3 — with agents, with funding, with a team — look like?

Verification method: Review the proof packs. Check the hashes. Read the architecture docs. Compare output volume to team size. Draw your own conclusion.

Founder

Mohammad Rahimi

Full Profile
Mohammad Rahimi

Mohammad Rahimi

Founder & CEO, MZN Company

Product builder and ecosystem architect who transitioned from classical team development (up to 27 members) to a compressed AI-first build cycle. In less than a year, produced a multi-module integrated ecosystem spanning product design, AI architecture, security frameworks, and theoretical research — output typically requiring multiple specialized teams. Operating from Iran with unstable infrastructure, English as second language, self-funded, and no AI agents or automation pipelines.

5
Years
94
Technologies
100%
Ownership
"The foundation — architecture, IP assets, narrative, and initial outputs — was built before any team expansion. That's the case study: AI compressing multi-team capacity into one person's workflow."
International Recognition

Global Validation

All Recognitions
Web Summit ALPHA
2025 · Qatar
Email proof available
Slush 100 Selected
2025
Email proof available
World Summit Awards
Nominee
Email proof available
Crunchbase
Rank #3,400
Verified
Our Journey

5 Years. Self-Funded. One Vision.

From concept to a complete AI-commerce ecosystem

View Full Ecosystem
2020-2021
Mazzaneh Foundation
Initial concept development, platform architecture design, and market research for AI-powered commerce
Concept Research
2022-2023
Multi-Module Development
Built core Mazzaneh modules: MAZ-RADAR for real-time search, Board for advertising, Pulino for user monetization, and Analytics
MAZ-RADAR Board Pulino Analytics
2024
ZOYAN & AI Integration
Wearable AI assistant development with cognitive layers, emotional logic, and memory systems. AI-human collaboration era begins.
ZOYAN MAZ-STYLE AI Research
2025-2026
Global Expansion
Zoe AI security architecture, BioCode theoretical framework, Web Summit 2025, and international partnership development
Zoe BioCode Web Summit
168K+
Users
1.1M+
Engagements
20+
Modules
$0
Paid Marketing
FAQ

Questions

Some detailed information is available after NDA signing

What exactly is this project?
MZN (Mazzaneh) is a unified, multi-module ecosystem — not a collection of separate ideas. It spans a commerce platform (20+ modules), an AI wearable assistant (ZOYAN), an AI security architecture (Zoe/GPU Sentinel), identity verification (AVA), and a foundational theory framework (BioCode). The modules are architecturally interconnected and mutually dependent.
Was this built by a large team?
Phase 1 (2020–2024) involved a team of up to 27 people. Phase 2 (Early 2025–Present) is ~95% solo work using public AI tools (ChatGPT Plus) with no AI agents, no automation pipelines, and no enterprise infrastructure. Self-funded with approximately $700K bootstrapped investment.
Why should I take this seriously?
Because of the output-to-resource ratio. The volume and breadth of work produced under these constraints (solo, no agents, Iran, second language, self-funded) is what makes this unusual. Every claim has documented proof — public layer available now, deeper layers under NDA.
How can I verify the claims without accessing confidential material?
Public proof packs include SHA-256 hashes, timestamps, blockchain anchoring, festival acceptance emails, and screenshots. For deeper verification (architecture docs, development logs, IP similarity analysis), contact us at info@mzncompany.com to initiate NDA process.
What partnership model are you looking for?
Strategic partnership — not just licensing. Options include co-development, joint venture, regional licensing, and revenue share. The project is at the transition from solo AI-first build to team expansion and market entry. Details available after NDA.
Contact

Three Pathways

Choose the right entry point based on your interest.

Press & Media

Coverage inquiry, press kit, or interview request.

press@mzncompany.com →
Partner & Investor

Partnership discussion, investment inquiry, or NDA request.

info@mzncompany.com →
Technical Validation

Architecture review, IP assessment, or technical deep-dive under NDA.

info@mzncompany.com →

Mohammad Rahimi

Founder & CEO

Next Appearance
To Be Announced
Medium LinkedIn Substack Crunchbase #3400
MZN Company
About Us

MZN Company

Building the future of AI-commerce ecosystems with innovation, integrity, and global vision.

Learn more about us

Our Mission

To democratize AI-powered commerce, making advanced technology accessible to every business regardless of size or technical expertise.

Our Vision

A world where commerce is frictionless, intelligent, and human-centered — powered by ethical AI and consent-first data practices.

Our Values

Innovation, transparency, user privacy, and relentless commitment to building products that make a real difference in people's lives.

Blog

Insights & Articles

Thoughts on AI, startups, and the future of human-AI collaboration.

Why Traditional Investment Models No Longer Apply
STARTUP STRATEGY

Why Traditional Investment Models No Longer Apply

When one founder with AI orchestration produces the output of a 50-person organization, the rules of the game fundamentally change.

Jan 2026 | 8 min read
The Rise of AI-Orchestrated Organizations
FUTURE OF WORK

The Rise of AI-Orchestrated Organizations

The first real proof that Human + AI can outperform traditional organizational structures. This isn't a future scenario—it's happening now.

Jan 2026 | 10 min read

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The Part Everyone Misses About AI and Work

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AI Changed Work Forever in 2025

By 2050, most people will command AI workforces larger than today's corporations.
World Economic Forum
2025: The Year Companies Disrupt How Work Gets Done

By 2030, 70% of the skills used in most jobs will change.