The Clean Data Ecosystem

We work with partners who add signal, reach, and credibility to Clean Data. Each partner in our ecosystem plays a defined role, just like the stages and emotional states in the BASE3 model. Together they create a full stack for Clean Data:

capture → context → structure → trust → reach → adoption.

MAC challenges the industry, exposes dirty data, and shifts expectations.
It builds cultural demand and industry pressure for ethical data systems.

Outcome: Clean Data isn’t optional — it becomes expected.

AgileBrain adds fast psychophysiological insight: emotional state, motivation, attention, and cognitive load in minutes. No long surveys, no friction.

Outcome: Clean Data becomes deep, not shallow — a verified emotional layer that’s anonymous and permissioned.

Base3 gives us the behavioural framework.
It defines where a person is in a decision path and what signals matter at each stage.

Discovering → Considering → Deciding → Validating → Promoting.

Outcome: Behavior is organised, not guessed. Clean Data becomes predictable and actionable.

NYTA connects our ecosystem to builders, operators, and institutions that need trusted data practices. Their 14k-member network accelerates adoption and execution.

Outcome: Faster integration, wider distribution, stronger credibility.

Whodini gives brands a clean way to engage real people through permissioned campaigns and community tools. It replaces tracking and scraped data with direct, voluntary participation.

Outcome: Accurate first-party data, stronger engagement, and a trustworthy starting point for clean relationships.