Every linkage in your ecosystem becomes a first-class AI agent that proposes its own next action. Stop coordinating. Start governing.
"A mentor-founder pairing isn't a row in a spreadsheet. It's a first-class entity with its own schema, its own AI agent, its own memory, and its own governance."
Every entity, every linkage, in one force-directed view. Click any edge to see its full memory and policy.
Each relationship has its own AI agent that proposes the next session, intro, or escalation — grounded in past outcomes.
Scans the whole graph for structural gaps — over-allocated mentors, dormant partners, missing expertise — and proposes new linkages.
Every approved action becomes a citable outcome. The next Steward tick retrieves the most-relevant past outcomes via embeddings.
Per-relationship AI reads recent outcomes, retrieves similar past ones via embeddings, picks one action from a 7-action whitelist, cites every claim.
Graph-wide meta-agent finds structural gaps — overloaded mentors, dormant partners, missing expertise — and proposes new linkages with focus and cadence pre-committed.
One click materialises the relationship. Audit log captures the decision. The ecosystem updates. The next tick learns from it.
Billed monthly. Cost scales with the number of active relationships you actually run — not seats, not users. Add or remove a relationship, your next invoice reflects it. Unlimited admin seats at every paid tier.