MEMORIA

Know

The Enterprise Knowledge Graph — the second brain that encodes rules, decisions, and documents as a living graph.

Every node carries provenance: who, what, when, which run.
Operational memory and domain knowledge in one graph — live state and accumulated precedent, not stale files.
Human corrections write back as corrected-by edges. The system compounds.
No agent holds the whole answer. The graph outlives the run.

BUILDING

MEMORIA

1.0
Ingest
Populate first, wire second. Entities stream in from every system while documents stay referenced, never discarded.
DOCS — BUILDING
2.0
Resolve
The same person, guest, or patient across ten systems merges into one node — with human review on uncertain matches.
DOCS — BUILDING
3.0
Map
Typed edges with provenance: who, what, when, which run. Conflicts reconcile or supersede — nothing is silently deleted.
DOCS — BUILDING
4.0
Query
Agents read the neighborhood, not the whole map. The killer questions become graph operations, not re-runs.
DOCS — BUILDING

MEMORIA

The Enterprise Knowledge Graph — the second brain that encodes rules, decisions, and documents as a living graph.

MEMORIA is the substrate every layer reads and writes. It is the difference between software that remembers and software that merely logs.

01: Every node carries provenance: who, what, when, which run.
02: Operational memory and domain knowledge in one graph — live state and accumulated precedent, not stale files.
03: Human corrections write back as corrected-by edges. The system compounds.
04: No agent holds the whole answer. The graph outlives the run.

THE SUBSTRATE

The graph is the single source of truth.

Every crossing — system to system, agent to graph, graph to action — lands in one schema, with provenance on every edge.

One schema. Every source. Every action.ESTIMATED TARGET — 200+ IS THE PLATFORM ROADMAP, NOT THE LIVE COUNT

THE SUBSTRATE

One schema. Every source. Every action.

Every crossing — system to system, agent to graph, graph to action — lands in one schema, with provenance on every edge.

01: Every node carries provenance: who, what, when, which run.
02: Operational memory and domain knowledge in one graph — live state and accumulated precedent, not stale files.
03: Human corrections write back as corrected-by edges. The system compounds.
04: No agent holds the whole answer. The graph outlives the run.

THE IMPACT

The engine, not the app.

Three verticals, three scenarios, zero fabricated numbers. Every metric on these cards carries a provenance tag, and the em dash is the claim until the pilot is the evidence.

HOSPITALITY

Close — the nightly reconciliation.

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PILOT RESULTS SOON

reservation lines cross-referenced per close

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PILOT RESULTS SOON

variances flagged before the ledger posts

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PILOT RESULTS SOON

hours of chasing left in the close

Revenue lands from a dozen sources every night. The graph cross-references each line; verification flags the variance before it reaches the books.

HEALTHCARE

Claims — verified before payment, not after.

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PILOT RESULTS SOON

claims read back against source

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PILOT RESULTS SOON

coding mismatches caught before submission

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PILOT RESULTS SOON

rework after a denial

A claim is a graph traversal: policy, pre-authorization, coding, payment. Verification re-reads every branch before the check is cut.

METRICS — NONE MEASURED YET. THE FIRST NUMBERS SHIP WITH THE FIRST PILOT, VERIFIED BEFORE THEY RENDER.

THE FAMILY

Four systems. One engine.

The platform presents as a numbered family — 0.1 to 0.4. Capabilities carry codenames. Markets carry functional names. They are one system, partitioned for the eye.

Industries

THE HANDOFF

Your workflow, run live.

The demo is the sales pitch: your workflow, run live on the call, on the same engine that ran this page.

CONTEXT —MEMORIA — The Enterprise Knowledge Graph

CALENDAR LIVE — OPENS THE FOUNDER'S CALENDAR — 30 MINUTES, NO FORM