Semantic Memory Systems
Remember what matters.
AI systems that know what matters, what's uncertain, and how to tell the difference.
See the Proof
We don't just talk about semantic memory systems—we build them. Three production systems demonstrate the methodology works.
The Problem Nobody Wants to Admit
Your AI is hallucinating. Not maliciously—it just doesn't know any better.
Chatbot Problem: A customer asks a simple question and the chatbot answers confidently — but the answer is wrong, pulled from a policy updated six months ago.
Knowledge Base Problem: The team searches the wiki and finds four documents about the same process, each saying something different — and nobody knows which is right.
Drift Problem: You update the source, but training materials don't update, the chatbot doesn't update, the FAQ doesn't update — now you have seven versions of "truth."
If you can't answer immediately whether your AI is hallucinating, the answer is yes.
What Is Semantic Memory?
Semantic memory remembers meaning, not events, knowledge detached from the episode of learning it. You know that Paris is in France, but you don't remember the moment you learned it. The fact is just... known.
Tulving, 1972Most AI systems don't have this. They store documents, not meaning.
How It Works
Proof Points
We don't just consult—we build.
Drift Detector: Find out if your AI is hallucinating. Free documentation diagnostic. → Take the Test
TerpTune: How semantic memory invalidated market confusion. → Read the Case Study
This Website: The site you're reading, built on its own methodology. → How This Site Works
Industries
About
Semantic Memory Systems is the consulting practice of Mark Ulett.
Decades watching organizations build systems that don't remember correctly. Documents drift. Knowledge bases contradict themselves. AI amplifies the problem.
We fix this with architecture that makes truth verifiable and hallucinations detectable.
Ready to Stop the Hallucinations?
Your AI needs memory architecture—canonical truths, verified claims, and infrastructure to say "I don't know."