Data sovereignty, private runtimes and IP ownership

Your operational data is your crown jewel. Keep it that way.

In the race to adopt enterprise AI and automated decision intelligence, organisations are routinely asked to sacrifice data sovereignty, feeding proprietary schemas, operational velocities and commercial margins into shared cloud models. JanusKS takes an uncompromising, architecture-first approach: your enterprise data, semantic ontologies and operational histories stay within your sovereign perimeter. We guarantee zero model training on client IP, full cryptographic tenant isolation and air-gapped deployment readiness.

Book a sovereignty architecture briefing
Your data, ontology, models and history sit inside a dashed perimeter. Links out to the public cloud are cut at the boundary. your perimeter Data Ontology Graph Models History Keys public cloud
Everything your operation produces stays inside a boundary you control.
Absolute zero-training commitment
We never train, fine-tune or evaluate public or foundational AI models on your operational data.
100% client IP ownership
You own every ingested record, derived ontology, knowledge graph edge and simulation output.
Complete hardware freedom
Deploy in dedicated private cloud VPCs, on customer-owned infrastructure, or in strictly air-gapped on-premises environments.

The hidden cost of commercial AI is corporate IP leakage.

Enterprise operational data is among the most sensitive intelligence in existence. It reveals your true cost structures, supplier price breaks, employee productivity baselines and commercial risk thresholds. Standard cloud-native AI platforms bring three unacceptable risks.

  • The training ingestion trap

    Many commercial AI vendors retain API prompts, contextual embeddings and retrieved documents to improve their general models, risking the leakage of proprietary business logic to competitors.

  • Regulatory and jurisdictional exposure

    Storing mission-critical operational graphs across multi-tenant, overseas cloud regions can breach statutory data residency mandates, cross-border privacy acts and national security directives.

  • Brittle vendor lock-in

    Proprietary cloud platforms lock your operational business logic inside closed, non-portable ecosystems, exposing your bottom line to sudden API pricing shocks and platform obsolescence.

JanusKS lets you harness next-generation decision intelligence without giving up control of your data.

The core sovereignty framework.

Data, models and agents all run inside a boundary you control.

Your sovereign boundary

Enterprise databases

ERPs, schedules, P6

Ingest

Air-gapped local inference

Ollama, LM Studio, vLLM

Enterprise graph

AES-256 / BYOK

Governed agentic MCP

Least-privilege scoping

Strict cryptographic isolation
Zero outbound calls

Public internet / third-party cloud

Shown for a strictly air-gapped deployment.

The zero-training legal and architectural guarantee

Your operations are your competitive advantage. JanusKS guarantees the following.

  • No upstream retention

    Queries, graph nodes, temporal snapshots and prompt payloads are processed in ephemeral memory buffers and never retained for foundational model development.

  • No secondary monetisation

    We do not aggregate anonymised operational metrics across clients to train commercial benchmarking models.

  • Contractually binding protections

    Our zero-training policy is embedded directly in our master software agreements and Data Processing Agreements (DPAs).

100% intellectual property retention

When JanusKS maps your enterprise workflows, the resulting semantic network belongs entirely to you.

  • Derived asset ownership

    You retain sole ownership of all generated ontologies, custom constraint rule definitions, graph embeddings and scenario simulation outputs.

  • Open standard portability

    We avoid proprietary data formats. Your knowledge graph can be queried or exported using standard semantic and graph paradigms, so you are never trapped on our platform.

Bring your own keys (BYOK / CMEK)

Keep control of access down to the hardware encryption layer.

  • Customer-managed encryption keys

    Encrypt your knowledge graph, relational databases and temporal ledgers at rest with keys held exclusively in your enterprise key vaults (AWS KMS, Azure Key Vault, HashiCorp Vault).

  • Instant cryptographic erasure

    Because you hold the root keys, you can revoke access at any time, leaving all stored data cryptographically unreadable.

Deployment freedom: from private cloud to air-gapped

Tailor your deployment footprint to meet strict statutory, defence or corporate security requirements.

Deployment modelNetwork perimeterInference runtimeBest for
Dedicated private VPC Isolated customer virtual private cloud (AWS, Azure, GCP). Dedicated cloud instances, such as private endpoints. Distributed enterprises needing global access with dedicated infrastructure.
Hybrid on-premises Corporate data centre behind existing firewalls. Local hardware clusters paired with internal API gateways. Organisations with existing high-performance compute investments.
Strictly air-gapped 100% disconnected from the public internet, with zero outbound telemetry. Local inference via Ollama, LM Studio or vLLM using open-weight models. Defence, civil infrastructure, mining sites and high-consequence operations.

Local AI and the zero-token architecture

Running enterprise AI in the cloud creates a recurring financial vulnerability: escalating per-token API billing and fluctuating latency. JanusKS enables a completely local, self-sufficient AI stack.

  • Open-weight model integration

    Run top-tier open-weight models (Llama, Mistral, Qwen) directly on your own on-premises workstations or data centre servers.

  • Zero variable token costs

    Remove unpredictable monthly API bills from external cloud providers. Run scenario simulations, constraint checks and agentic workflows at fixed hardware cost.

  • Ultra-low latency inference

    Local inference keeps high-frequency decision loops, safety alerts and trade-clash calculations on your local network, bypassing public internet routing delays.

Governed agentic boundaries via MCP

Bringing AI agents into enterprise workflows needs precise boundary enforcement. JanusKS acts as an intelligent, secure gateway between autonomous agents and your data.

  • Scoped Model Context Protocol

    Connect private local agents, or external models (Claude, ChatGPT, Gemini, Cursor) where your deployment allows it, through standard MCP interfaces with strict role-based access controls.

  • Zero raw database access

    Agents interact only with sanitised, contextual graph sub-sets. An agent analysing a scheduling conflict cannot query confidential executive payroll or sensitive supplier margin tables.

  • Human-led oversight

    Agents can simulate scenarios, uncover anomalies and draft recovery plans, but state-altering operations, such as writing changes back to ERPs or issuing contract notices, need human sign-off.

Global compliance and regulatory alignment

JanusKS architectures are engineered to support compliance with the world’s most stringent data protection frameworks.

  • GDPR

    Granular node-level redaction and export tools support Right to be Forgotten and data portability requests without corrupting historical graph integrity.

  • CCPA and APPI (Japan)

    Built-in governance mechanisms support regulatory auditability across North American and East Asian operating entities.

  • Australian Privacy Principles

    Aligned with the Australian Privacy Act 1988, with onshore deployment for Australian enterprises that need data residency and sovereignty.

Related

Local & Air-Gapped AIThe full disconnected stack.
MCP & IntegrationHow agents and tools connect.
Knowledge GraphThe IP you keep.

Retain absolute control over your enterprise intelligence.

Deploy cutting-edge Intelligent Decision Support Systems without compromising on intellectual property, data sovereignty or security compliance.

Schedule a data sovereignty briefing