EDN solves real memory problems across enterprise AI systems - grounding answers, keeping unverified inference out, and making every recall explainable. One governed pipeline, five scenarios. Find yours below.
Every piece of information travels the same path - from arrival to the moment your model uses it. The scenarios below each rely on a different part of this pipeline.
How information becomes memory, and how it comes back - verified, provenance-aware, and deterministic. This is the engine behind the next three solutions.
Every stored fact carries its source and confirmation history.
Each write is classified as confirmed fact or excluded inference.
Ground memory in approved documents and systems of record.
Retain what matters from dialogue - governed, not verbatim.
Update or retract facts, with the change fully traceable.
A clean store of what's been verified - nothing assumed.
Drop EDN between your app and model as a governed memory layer, reachable over one clean API.
One governed memory layer can serve many models at once. Bring your own, swap vendors, or run several side by side without losing what you've built, and without retraining anything.
We're working directly with a focused set of enterprise teams to shape EDN in real deployments. Transparency now, not promises later.
Hands-on access to test governed memory against your own scenarios.
Close collaboration to align EDN with your governance requirements.
Shaped by what we learn with partners today.