About marktgAI

Building reusable operating intelligence for AI marketing

marktgAI develops the mAI Framework: an AI Marketing Brain + AI Marketing OS architecture with Human Command, designed to connect company context, decisions, execution, measurement and learning.

The company thesis

AI models are becoming broadly accessible. Durable value shifts toward the operating intelligence around them: context, decision logic, workflows, governance, measurement and domain-specific learning.

From tools to a marketing operating system

More AI tools do not automatically create a better marketing organization. mAI addresses the system-level problem: fragmented context, inconsistent decision logic, disconnected workflows, weak measurement loops and unclear accountability.

The reusable layer

Company Context → AI Marketing Brain → AI Marketing OS → Measurement → Human Command. The framework is designed to work with existing marketing and enterprise technology rather than requiring wholesale replacement.

AI Marketing Brain

Detect → Forecast → Recommend → Learn using organization-specific context, evidence and performance signals.

AI Marketing OS

Plan → Execute → Measure → Optimize through governed workflows across the marketing lifecycle.

Human Command

Accountable human judgment over consequential strategy, brand, budget, audience, privacy and governance decisions.

Founder-led architecture

marktgAI is led by Arnaud Fischer, Founder and architect of the mAI Framework. His product, search, advertising technology, digital marketing and entrepreneurial background informs a system built around operating leverage, evidence and accountable human control.

Evidence before claims

Demonstrations, engagement outcomes, operating targets and validated claims are treated as different evidence classes. P² measures Productivity + Precision against context-specific baselines.

Three ways the framework can create value

Managed mAI

Operate the system with marktgAI while retaining Human Command.

Custom Enterprise mAI

Deploy organization-specific context, integrations, governance and control.

Strategic Integration

Evaluate the architecture, IP and operator knowledge as a complementary product, platform or enterprise capability.

Inspect the system, then decide whether there is a fit

Architecture, evidence and deployment are available for review before a strategic conversation.

Explore mAI

System context

Connect this operating context to the underlying mAI architecture and the evidence rules used to distinguish demonstrations, modeled scenario outcomes, operating targets and validated claims.

Strategic fit

Evaluate the framework and the operator behind it

For product integration, enterprise deployment, partnership or other strategic fit, start with the technology, evidence and operating context.

Compare Deployment Paths