Simplifii - The Runtime Trust for AI

AI adoption is accelerating, but trust, safety, and governance are missing. Simplifii provides the runtime trust layer companies need.

The Problem: AI is Powerful but Unpredictable

• No runtime control or verification.
• No audit trails for regulators or insurers.
• Companies cannot scale AI without trust.

Why Now: AI Has Outpaced Control

• AI is already deployed at scale (72% adoption), but governance lags dangerously behind (12%).
• Governments are moving from voluntary frameworks to enforceable regulation.
• Enterprises and states increasingly require sovereign control over AI execution.
• These forces are creating a new, unavoidable infrastructure layer for trusted AI, projected to exceed US$1.3T by 2030.

Simplifii: The AI Runtime Trust Layer

• A universal governance and control layer for AI execution.
• Monitors, verifies and enforces safe AI behaviour at
  runtime across models, agents and workflows.

What Simplifii Provides

• Real-time detection & intervention, and control.
• Runtime policy and compliance enforcement.
• Audit-ready execution traceability.
• Vendor-agnostic orchestration across AI services

How It Works: Architectural Layers

• Deployment Layer - Secure execution across enterprise and sovereign environments.
• Service Layer - Trusted, composable service library
• Composer Layer - Build and orchestrate workflows.
• Admin Layer - Identity, access, and compliance controls.

Why Runtime Trust Becomes Infrastructure

• Static checks and pre-deployment reviews cannot govern AI once it runs in production.
• Trust must be enforced at runtime, independent of models, clouds, or vendors.
• Enterprises and regulators require auditability, neutrality, and enforceable control by design.

Market Opportunity

• As AI spend reaches US$1.3T by 2030, trust, control, and runtime governance become foundational infrastructure.
• The AI spend surge toward 2030 is shifting AI into production, regulated, and autonomous environments, driving the need for vendor agnostic, sovereign runtime control.

Business Model

• SaaS subscriptions for AI governance and runtime control (recurring base revenue)
• Usage-based execution via tokens (scalable usage)
• Marketplace take-rate on trusted services (ecosystem monetisation)
• Certification and continuous assurance for regulated and autonomous systems (trust fees)
• On-premise sovereign deployments for national and mission-critical use (enterprise contracts)

Traction & Prototype

• 80 percent of core runtime governance and trust engine delivered
• Early developer and SMB interest validating problem relevance
• Positioned for enterprise pilots.

The Team

Led by experienced founders with expertise spanning AI systems, governance, and finance.

The Ask

• Raising investment capital to deliver MVP, scale adoption, and
  establish Simplifii as the leader for trusted AI.

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