Governed access
Keep authentication, tenant context, permissions, and capability invocation on an explicit path.
ENTERPRISE
A governed knowledge layer for enterprise AI.
Bring multimodal data, domain semantics, operational controls, and source evidence together without hiding the boundaries your teams need to govern.
ENTERPRISE PRIORITIES
Control the system around the model.
Enterprise AI depends on more than an answer. It needs identity, boundaries, provenance, resilient services, and an operating model.
Traceable knowledge
Carry source identity and location anchors from ingestion through retrieval.
Deployment control
Run capabilities through local, remote, or mock profiles while keeping business contracts stable.
Operational resilience
Allow knowledge search to continue through defined fallback behavior when optional graph services are unavailable.
GOVERNANCE PATH
Apply shared controls before execution.
The governance path validates identity and tenant context, signs internal service calls, and applies metering, rate limits, and circuit breaking before a business capability runs.
Discuss requirements01
IdentityUser or approved machine caller
Verified02
Tenant scopeAuthenticated operating boundary
Scoped03
Runtime controlsMetering, rate limits, and circuit breaking
Applied04
Capability executionBusiness, domain, or atomic runtime
RoutedPLATFORM FOUNDATION
The controls enterprise teams expect around knowledge.
Jonex combines knowledge operations with the shared platform capabilities needed to manage users, applications, model traffic, and source files.
- Tenant-scoped users, roles, permissions, and application access.
- Application registration, menu governance, and platform audit records.
- Centralized LLM, embedding, and reranking traffic with usage metering.
- Local or cloud object storage behind one source-file abstraction.
- Structured references with controlled source access URLs.
- Docker Compose deployment with replaceable capability adapters.
DEPLOYMENT MODEL
Separate public access from internal capabilities.
The browser enters through one frontend boundary. Business APIs stay behind the gateway and governance layer, while specialized services keep their own responsibilities.
Public edge
Domain, TLS, and frontend delivery
Serves the web experience and forwards only the intended API surface.
API boundary
Gateway and shared governance
Normalizes the entry point and applies cross-cutting controls before service execution.
Business
Independent capability services
Own user-visible workflows, business rules, and tenant-scoped data.
AI runtime
Domain orchestration and atomic engines
Compose stable clients around retrieval, parsing, ontology, language, and media components.
Infrastructure
Database, cache, graph, and object storage
Supports structured state, source files, ontology relationships, and processing workloads.
IMPLEMENTATION PATH
Start with one governed knowledge domain.
A focused first workflow makes source quality, ontology scope, review expectations, and deployment constraints concrete.
Define
Select the users, decisions, evidence standard, and domain boundary.
Connect
Identify source types, update paths, credentials, and storage requirements.
Compile
Configure parsing and align the minimum useful ontology.
Validate
Review retrieval quality, references, permissions, and fallback behavior.
Operate
Deploy, observe, govern, and expand with evidence from real usage.
COMMON QUESTIONS
Enterprise planning, made concrete.
How is the complete platform deployed?
Jonex is packaged for Docker Compose. The exact database, cache, graph, vector, object-storage, parsing, and model services depend on the capabilities and workload selected for the environment.
Can Jonex run with different infrastructure profiles?
Yes. Capability runtime profiles are designed to support local, remote, or mock execution without changing the business-facing contract.
How are source references preserved?
Retrieval results can include structured references with document identity, file type, access URL, and location anchors such as a page or media timestamp.
What happens if graph infrastructure is unavailable?
Knowledge retrieval is designed to fall back to standard RAG behavior so the baseline search path can continue without optional ontology graph enrichment.
CONTACT
Plan an enterprise knowledge deployment.
Bring your architecture, security, source, and review requirements. We will help turn them into a focused implementation path.