The Self-Learning Cognitive Layer Behind Better Business Decisions
Neocortex is aidnn's self-learning system, it is structured the way the brain synthesizes knowledge from information. A catalog holds what your organization defines as rules and standards. This translates to skills and habits, which determines how it does analytical work. Memories of previous work directs it on to judge a process input and output. A deep learning runs continuously in the back end, turning every answer aidnn produces into long term reasoning across all three layers during inference time.
Retraining Mode
NeoCortex: Dreamtime
During Dreamtime, NeoCortex consolidates session observations into a refined, higher-fidelity knowledge state, mirroring biological memory consolidation.
New Neurons
Novel facts are extracted from observations and introduced as new knowledge nodes.
Boost
Existing facts that contributed to useful outcomes are reinforced and weighted up.
De-weight
Novel facts dissonant with established knowledge are attenuated.
Reinforce
Repeated facts strengthen existing connections, signal over noise.
New Connections
Relationships between existing facts are synthesized into new neural pathways.
NeoCortex SDLC
The Software Development Life Cycle
A rigorous, multi-stage governance pipeline ensures every new NeoCortex version is safe, accurate, and measurably better before promotion to production. Each stage acts as a quality gate. Only versions that pass all evals are promoted.
Deep Validation
Simulate past sessions, detect version deltas, and counterfactual scoring.
Online Validation
Divert a traffic slice and A/B test the candidate version in production.
Admin Approval
Review evals, approve or reject, and update validation baselines.
From Fragmented Data to Trusted Decisions in 3 Steps
NeoCortex learns from every interaction, so insights get sharper, faster, and more trusted over time.
Trusted by Business Leaders
“What once took days of manual wrangling now happens effortlessly, accurate, consistent, and always on.”
- Myoung Kang, Fractional CFO/COO, Axiom
