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Die geschäftlichen Zusammenfassungen sind in dieser Sprache verfügbar. Produktabläufe und technische Belege werden auf Englisch gepflegt.

Souveräne KI & Agenten

Hyperion Sovereign Fabric

Ein privater Arbeitsbereich für Wissen, Zusammenarbeit und KI mit geregelten Zuständigkeiten.

Dokumente, Suche und KI-Arbeit sind verteilt. Ihr Team muss erklären können, wohin Informationen fließen, wer sie nutzen darf und welche Handlungen eine Prüfung erfordern.

CIOs, Wissensverantwortliche und Leiter von KI-Plattformen

Aktive Entwicklung · lokale Referenz

An information boundary
Knowledge
Approved documents and records
Identity
Named organisation and access rules
Model route
Hosting, logging and retention to evaluate
Action
Policy and human review remain explicit
Decision logic and control flow

Explore the reasoning

Choose one organisation and an approved set of information. Identify access rules, hosting constraints and the model route to evaluate.

Engage now
An information and model-route review, with evaluation criteria and the integration work needed for your use case.
Inspect
Active development · local reference
Workspace, file, record, ingestion, search and AI source surfaces.
Still to validate
No hosted production service, customer deployment or operational data-residency result is established.
Review a single-organisation use case, data boundary and model-hosting constraints before a scoped evaluation. This is an implementation reference, not a hosted offer.

Quellen geprüft

The decision behind the system

Where should control of your knowledge and AI work live?

Bring files, records, search and AI-assisted work into one organisation-controlled workspace, with identity, policy and audit boundaries designed together.

Sovereign Fabric explores the knowledge and control workspace. Athena focuses on departmental agent work; Techne focuses on creative workflows. Their inclusion here does not imply an integrated suite.

One knowledge workspace

Collaboration, files and governed records share a workspace with controlled ingestion and search.

Explicit AI boundaries

Separate model-assisted work from identity, policy and audit decisions. Examine the route that data and requests take.

Operational foundations

Inspect backup, status and operator configuration alongside the workspace. Terminal and local-web settings tools prepare an evaluation; production release remains separate work.

Read the complete system walkthrough
  1. Define

    Choose one organisation and an approved set of information. Identify access rules, hosting constraints and the model route to evaluate.

  2. Ingest

    Follow approved documents and records into the workspace. Examine ingestion, search and the information available to each identity.

  3. Assist

    Explore retrieval and drafting while keeping model output separate from policy decisions and permission to act.

  4. Review

    Inspect audit, administration, backup and status boundaries. Source configuration alone does not establish residency or operational isolation.

See all evidence and limits

Inspect the source, test conditions and operating limits in the technical record.

Technische Unterlagen und Evidenz

Brücke Business ↔ Technologie · Sovereign AI capability experiment

Where should control of your knowledge and AI work live?

Sovereign Fabric explores the knowledge and control workspace. Athena focuses on departmental agent work; Techne focuses on creative workflows. Their inclusion here does not imply an integrated suite.

Dies ist eine Portfolio- und Quellinterpretation, keine Aussage über Kunden, Betrieb, Zertifizierung oder Ergebnisse.

  1. 01

    Geschäftlicher Druck

    Documents, search and AI work are fragmented. Your team needs to explain where information goes, who can use it and which actions require review.

  2. 02

    Produktentscheidung

    Choose one organisation and an approved set of information. Identify access rules, hosting constraints and the model route to evaluate. Inspect audit, administration, backup and status boundaries. Source configuration alone does not establish residency or operational isolation.

  3. 03

    Technischer Nachweis

    Collaboration, files and governed records share a workspace with controlled ingestion and search. Separate model-assisted work from identity, policy and audit decisions. Examine the route that data and requests take. Inspect backup, status and operator configuration alongside the workspace. Terminal and local-web settings tools prepare an evaluation; production release remains separate work.

  4. 04

    Evidenzrückfluss

    Inspect audit, administration, backup and status boundaries. Source configuration alone does not establish residency or operational isolation.

Quellcode-Evidenz

Was der Quellcode tatsächlich belegt

A single-organisation workspace implementation joining collaboration, files, governed records, controlled ingestion, search and AI with identity, policy, audit and operational surfaces.

Der detaillierte technische Stand wird auf Englisch gepflegt.

Reifegrad
Active development · local reference
Evidenzprüfung
Quellstand bis

Produkt- und Architekturentscheidungen

  • Keep organisational knowledge and collaboration within an explicit information boundary.
  • Separate AI-assisted work from identity, policy and action authority.
  • Review backup, operational status and deployment readiness alongside the application.

Prüfbare Evidenz

  • Workspace, file, record, ingestion, search and AI source surfaces.
  • Identity, policy, audit, backup and administrative implementation records.
  • Terminal and local-web deployment configurators, plus operator documentation distinguishing local evaluation from unverified remote production.

Aussagegrenze

  • No hosted production service, customer deployment or operational data-residency result is established.
  • Single-organisation scope must not be presented as verified multi-tenant isolation.
  • External AI is not enabled in the reviewed setup. Organisational model evaluation and production qualification remain open; controls are not certification or legal advice.

Repository-Evidenz ist kein Nachweis für Kunden, Betrieb, Zertifizierung oder Ergebnisse.

Mit Hyperion arbeiten

Die Grenzen Ihrer privaten KI abbilden

Eine Prüfung der Informationsflüsse und Modellanbindung mit Evaluierungskriterien und den für Ihren Anwendungsfall erforderlichen Integrationsarbeiten.

Bringen Sie eine kurze Beschreibung Ihrer Situation, Rahmenbedingungen und Entscheidung mit. Umfang, Verantwortlichkeiten und Angebot werden vor Arbeitsbeginn vereinbart.