Every output traces back to its knowledge origin. SEDIM layers intelligence the way geology layers earth — traceable, composable, permanent.
Trillion parameters in one opaque mass. Which answer came from which data? Unknown.
New knowledge overwrites old. Continuous learning requires full retraining.
Fine-tuning contaminates the entire model. Domain expertise bleeds across boundaries.
SEDIM solves all three. Architecturally.
The base model never changes. All knowledge accumulates on top of an immutable bedrock.
Each domain gets its own low-rank stratum. Independent, versioned, composable.
Per-block routing decides which VARVE serves each query. Attention-level precision.
Every output carries its knowledge lineage. Traceable to origin, by architecture.
EU AI Act and US EO 14110 demand traceability. STEMMA answers automatically — every output carries its knowledge lineage without post-hoc patches.
New domain = new VARVE. No retraining. No forgetting. FACIES stays intact. Knowledge accumulates like geological strata — permanent and non-destructive.
FACIES Q4 4.5GB + VARVE Q8 0.15GB = 4.65GB total. Real 8B-parameter quality running natively on iPhone. No cloud dependency required.
Multiple knowledge sources, one model. Each VARVE traceable to its origin. Deploy domain-specific strata without cross-contamination.
Upload documents, connect sources, create domain-specific VARVEs. Each layer is independently versioned and deployable.
Build agents that know which knowledge they are using. STEMMA attribution flows through every agent decision and output.
API keys, STEMMA analytics, inference modes, A/B testing. Everything you need to operate SEDIM in production.
SEDIM paper targeting Arxiv July 2026. Open source benchmark coming May 2026.
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