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.

The Well brings brand operators, category leaders, and investors into the ecosystem.
They help translate Clean Data into commercial use cases and early partnerships.

Outcome: Real-world traction with businesses who want clean, permissioned data instead of the usual scraped sources.

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.