The pipeline: extraction, embedding, recall, decay

Persistent memory is not "a bigger context window." A million tokens of undifferentiated history is a library with no catalog — everything is technically there and nothing is findable at the speed of thought. The pipeline that actually works has four moving parts: extraction pulls the durable facts and preferences out of a conversation; embedding stores them so they are retrievable by meaning, not keyword; recall injects the right memories at the right moment without drowning the model in noise; and decay lets stale or superseded information fade so the system does not calcify around old truths. We keep the implementation proprietary, but the shape is the point: smaller, well-organized, reliably indexed memory beats raw storage every time.

This is one piece of a larger framework we built and operate in production. The full picture — and how it applies to your business — is in the playbook.

We specialize in healthcare because it is the hardest vertical — strict HIPAA regulation, PHI handling, BAA chains, and zero tolerance for failure. If we can build it for healthcare, we can build it for any industry. We work across verticals.