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Product

One governed pipeline from source system to grounded answer.

Enterprise knowledge is scattered across a dozen systems, each with its own permission model and its own gaps. Premora ingests from the systems a team already uses, preserves the source ACLs through the entire pipeline, and makes that knowledge searchable, materialized, and agent-ready.

Read the docs →Browse connectors

The pipeline

Connect → ingest → materialize → surface

01

Connect

Configure connectors to Jira, Confluence, Entra, Teams, Outlook, Salesforce, MuleSoft, SQL, Git, and Bing research. Each connector authenticates with its source and projects that system’s permissions into Premora.

02

Ingest & govern

Sources are normalized to canonical content, deduplicated by content hash, and indexed for keyword and vector retrieval. Source ACLs are captured as entitlement snapshots and enforced on every read.

03

Materialize

Content is deterministically materialized into a structured wiki — pages, chunks, a knowledge graph, and system pages — with full lineage back to the originating source.

04

Surface

Humans query through ACL-aware search and the analyst workbench; coding agents query through the Premora skill. Both get the same permissioned, cited knowledge.

What you get

Built for engineers, governed for the people who sign off on it.

Premora is specific where generic AI tooling is vague: named connectors, ACL propagation, deterministic materialization, and full lineage.

  • ACL-aware retrievalPermissions propagate from the source system to search results. A user only ever sees what they are already entitled to upstream.
  • Deterministic wiki materializationThe same sources always produce the same structured wiki, chunks, and knowledge graph — with lineage you can trace back to the origin.
  • Governed deep researchConversational research over search, read-only SQL, and web research, with durable findings promoted into the shared wiki under review.
  • Coding-agent groundingA scoped, TTL-bounded skill token lets Claude Code and Codex pull cited internal context — every call attributable to a user.
  • On-prem, single-tenantOne deployment per enterprise, fully inside your perimeter. The core read path keeps working with no external SaaS dependency.

See how it installs.

From a connected pull, your own registry, or fully air-gapped offline media.

Installation guide →