Every enterprise AI deployment eventually hits the same wall: the system never actually gets smarter. Chat history resets.

Knowledge doesn't compound. And the AI is just as wrong on day 90 as it was on day 1. The problem isn't memory. The problem is that memory and learning are not the same thing. Remembering is storing tokens. Learning is consolidating signal, attenuating noise, and updating beliefs under review. Generic AI tools skip the second part entirely.

In this session, we'll introduce aidnn NeoCortex, the cognition layer behind aidnn. We'll walk through how hierarchical memory, Dream Time consolidation, and validation gates produce AI that gets measurably smarter over time, without sacrificing the audit trail enterprises require.

Join us to learn:

• What separates real AI learning from "AI memory," and why most enterprise deployments stall at the same wall around 90 days in
  

• How aidnn NeoCortex's four-layer intelligence hierarchy keeps episodic chatter from contaminating validated organizational knowledge
  

• What enterprise-grade AI governance actually looks like in practice, with Dream Time consolidation, A/B testing, and admin approval before any knowledge is promoted
  

​Webinar Details

Date: June 4, 2026
Time: 9:30 AM PST
Location: Live on Zoom (recording available after)