Skip to main content
Rivermark Research logo
RIVERMARK RESEARCH
RELATIONAL INTELLIGENCE FOR PRODUCT ECOSYSTEMS

Your Data Has a Story.
Let Us Help You Tell It.

SEED constructs a relational understanding of your product ecosystem—revealing how products, attributes, and concepts connect. When interactions occur, signals propagate across that structure to reveal observed affinity patterns. No cookies. No assumptions.

SOC 2 Type II
GDPR Ready
Integrations Ready
No Cookies
No Identity Resolution
No Claims Without Events

RELATIONSHIP DISCOVERY

SEED constructs relational context from product attributes—providing structure for understanding interaction patterns as they occur

Initializing visualization...

The Problem

Your product catalog is full of relationships
your tools can't see.

Traditional systems treat every product as an isolated row in a database. The connections between them—how they relate, how interactions flow across them—stay invisible.

Products Treated as Islands

Every record sits alone. Semantic connections, shared attributes, and conceptual overlap go unmodeled.

Signals Without Structure

Interaction data exists, but without relational context, individual actions can't reveal broader patterns.

Decisions Based on Assumptions

Without observed evidence, teams fill gaps with guesswork—assigning meaning where only interaction exists.

About SEED

Your product data knows more than you think.
SEED makes the connections visible.

Most systems treat products as isolated records. SEED builds a relational model that captures how products, attributes, and concepts relate—creating the context behavior needs to become meaningful.

SEED in Action

Discover Hidden Relationships

Reveal semantic and range-based connections across products that don't exist explicitly in your data—but do exist in how people think.

Surface Interaction Patterns

When interactions occur, signals propagate across the relational structure—revealing how individual actions connect within the broader ecosystem.

Understand Observed Affinity

See which attributes and concepts show signal strength across your catalog—based on observed interactions, not assumptions.

Start with Structure

SEED establishes relational context immediately, so the moment behavior starts, insight follows naturally.

Inside SEED

See what relational intelligence looks like

Execute relational queries to surface interaction patterns across your product ecosystem.

SEED Query Builder showing relationship health results with client data, industry, and inactivity metrics

Ready to Explore

See Your Product Relationships Clearly

We'll show you how SEED constructs relational context from your product data, then demonstrate how interaction patterns reveal themselves across that structure—using a live demo or your own data.

No cookies. No identity resolution. No claims without events.