A graph, not a search index.
Meshline reconstructs the underlying object (the decision, the entity, the contradiction, the lineage) and exposes it through a permission-aware kernel. Built for sovereign deployments where RAG cannot go.
AI models know the world’s public knowledge. Meshline gives them yours: every document, message, decision and signal you produce, turned into one governed, permission-aware memory that surfaces what you already knew but never connected. Run it on your own hardware, through a zero data retention API, or in the cloud.One memory. One source of truth. Cited, auditable, alive.
It cites every claim it produces. It inherits permissions from the source systems it ingests, and it re-derives the truth on every change. In sovereign deployments it runs on your hardware and nothing leaves the perimeter; ZDR and Meshline cloud tiers are available.
In sovereign deployments, nothing crosses the perimeter: no model calls, no telemetry.
Every claim ties back to a source coordinate.
Deployment-scale topology, sized to the corpus.
Derived assets cannot be more permissive than source.
Similarity proposes. Evidence decides.
A short, concrete walkthrough: the kind of artefact every enterprise generates a hundred times a week. The difference is what the system does with it.
"The company's runway is tightening, retention is weak, and the team is concerned about product–market fit."
Every layer is auditable. Every layer is governable. The Memory Interface Layer is the proprietary core, delivered through direct engagement with each customer.
A single memory powers every channel. Executives query the company. Employees query their work. Auditors query the trail.
The kernel mediates every interaction. Agents never see raw memory. They receive permission-filtered, deduplicated context packets compiled to a token budget.
The graph substrate and the snapshot system, custom-built for memory workloads. This is the layer that makes the rest possible.
Documents → layout-grounded extraction. Audio → transcripts + speaker + acoustic events. Video → tracks + scenes + masks. Code → AST + symbol graph. Every observation cites its source coordinates.
A frontier-class model surveys the corpus, discovers domain concepts, resolves entities, induces relations and proposes the ontology, dynamically, from your data, never templated.
Immutable, hash-addressed originals. Permissions inherited verbatim from source systems. Every byte versioned, every access audited.
Agents request context. The kernel decides what, if anything, to reveal.
Meshline reconstructs the underlying object (the decision, the entity, the contradiction, the lineage) and exposes it through a permission-aware kernel. Built for sovereign deployments where RAG cannot go.
Clearance enforced in the query itself, source bytes hash-addressed and never destroyed, and a sovereign tier where nothing leaves your perimeter. See the redaction in the clearance lens.
Three sectors. Redacted. Each one surfaced something the organization had already silently accepted. Read the case files.
We work with governments and global enterprises by invitation. Each engagement is scoped to the customer. Qualified inquiries receive a confidential response within 48 hours.