Investment Thesis

Enterprise AI is evolving from assistants that answer questions to autonomous systems that execute decisions. MIZ OKI is the first platform to solve the trust problem that blocks this transition—through verified autonomy with full decision traceability, counterfactual simulation, and multi-agent validation before execution.

Patent-Pending Architecture

The SRDPV-DAL Pipeline

Seven stages with validation and simulation before every autonomous action

📡SENSE
🧠REASON
📋PLAN
🔍VALIDATE
DECIDE
🚀ACT
📈LEARN

↺ LEARN feeds outcomes back into SENSE — continuous improvement from real results

Market Opportunity

The convergence of decision intelligence, process automation, and enterprise AI

$45B
Decision Intelligence Market
Projected 2028 • 22% CAGR
$98B
Enterprise AI Market
Projected 2028 • 35% CAGR
$180B
Intelligent Automation
Projected 2028 • 28% CAGR

Why Now? Why Us?

Existing solutions fail to bridge the gap between AI capabilities and enterprise trust requirements

Current AI Solutions

  • Black-box decisions with post-hoc explanations
  • No pre-execution validation or simulation
  • Agents execute directly without governance
  • Correlation-based reasoning, not causal
  • No institutional memory across decisions
  • Fails regulatory and compliance requirements

MIZ OKI 3.5

  • Decisions verified before execution
  • Counterfactual simulation of alternatives
  • Decision Control Plane separates proposal from authorization
  • Causal reasoning with GraphRAG
  • Temporal-Causal Knowledge Graph as decision memory
  • Built for regulated industries (SOC 2, HIPAA-ready)

Core Innovations (Patent Pending)

Novel architecture enabling verifiable autonomous operation

Decision Control Plane (DCP)

Centralized authority that separates action proposal from authorization. Agents cannot bypass the DCP—this architectural constraint enables verifiable autonomy.

Validation & Arbitration Layer

Planner, Verifier, Risk, and Policy agents independently evaluate proposals. Disagreement is a signal, not an error—arbitration proceeds without requiring consensus.

Counterfactual Simulation Engine

Before execution, simulates proposed action, alternatives, and no-action baseline. Platform learns from simulated outcomes never executed.

Temporal-Causal Knowledge Graph

Decision memory and audit spine storing proposals, simulations, validations, and outcomes with timestamps, provenance, and causal confidence.

Early Traction

Validated product-market fit across industries

63×
Decision velocity improvement
↓35%
Revenue leakage reduction
3.2mo
Average payback period
2-4wk
Deployment timeline

Business Model

SaaS pricing with usage-based scaling

Revenue Model

Foundation Tier $8,500/mo
Professional Tier $24,000/mo
Enterprise Tier $50K+/mo
Overage Pricing $0.15-0.25/decision

Unit Economics

Target Gross Margin 75-80%
Target LTV:CAC >5:1
Net Revenue Retention >120%
Sales Cycle 45-90 days

Founding Team

BM

Boris Mizhen

Founder & CEO

Serial entrepreneur with deep expertise in marketing technology, data infrastructure, and AI/ML systems. Previous exits in ad-tech and martech. Inventor of the core MIZ OKI architecture with patent-pending innovations in verifiable autonomous decision systems.

Intellectual Property

Provisional Patent Filed

January 2026

"Verifiable Autonomous Decision Intelligence Platform with Temporal-Causal Knowledge Graph, Decision Control Plane, Autonomous Decision Controllers, Validation Layer, and Counterfactual Simulation Engine"

Decision Control Plane architecture
SRDPV-DAL pipeline methodology
Validation & Arbitration Layer
Counterfactual Simulation Engine
Temporal-Causal Knowledge Graph
Autonomous Decision Controllers
Multi-agent validation system
50 total claims filed

Let's Discuss

We're raising to accelerate product development and go-to-market across target verticals