PLATFORM4-layer privacy-first architecture
The privacy-first enterprise AI platform
Your Data Stays Yours. Always.
Manage every AI layer from enterprise interfaces to local language models under one roof. Your data stays strictly in-house, full control remains yours.
- Supports KVKK · GDPR · BDDK · EU AI Act requirements
- On-premise H200 GPU infrastructure
- Unlimited tokens, fixed cost
0 / 0 · air-gapped OKA privacy-first, 4-layer architecture
From interface to model, every layer is designed for enterprise needs. Tap the layers to see what each one does and where your data flows.
Gateway — Enterprise Interface
Your employees' single, secure gateway to AI. Everyone enters through the same interface — but each person sees only the assistants, data and actions they are authorized for.
- Role-based authorization and department isolation
- Audit logging on every interaction — who asked what, and when
- Web, mobile, Teams and Slack — the same security on every channel
Assistant Layer
Assistants that understand your corporate knowledge and answer with citations. Their authority decides what they may tell whom.
- 70+ ready personas: Recruiting, Cash-Flow Forecasting, Self-Service Knowledge…
- RAG architecture: answers are grounded in your documents, with sources
- Permission-aware access: an assistant never reveals what the asker may not see
Agent Layer
The assistant analyzes, the agent executes. Driven by system triggers, it creates ERP records, drafts reports, and sends notifications. It ensures secure autonomy by requesting human approval at critical steps.
- RAG-backed autonomous processes: multi-step work, end to end
- ERP and CRM integration: the agent acts inside real systems
- Human-in-the-loop: critical decisions need approval, every step is logged
Local vLLM — ARKE LLM
The model itself runs on your hardware. Because data never leaves, privacy isn't a setting — it's a physical fact.
- Zero data transfer: inference happens entirely inside your organization
- Unlimited tokens: a predictable budget on fixed GPU cost
- Domain fine-tuning: the model learns alongside your organization
Hybrid architecture: the right query on the right model
- Sensitive data stays on-premiseCustomer data, financial records, contracts — processed on local models on H200 GPUs, never leaving your walls.
- General queries scale in the cloudWork without sensitive data runs on Claude, OpenAI or Gemini — LLM-agnostic, with no lock-in to a single provider.
- The LLM router decides, you governAutomatic routing by privacy, cost and speed criteria; the rules and the exceptions stay entirely under your control.
Multi-tenant governance: three levels, full control
Your org chart is mirrored in the platform. From end user to super admin, each level sees and manages only its own scope.
User
- A chat interface with the assistants they're authorized for
- Personal document upload and querying
- Access to the knowledge base opened to their department
Manager / Admin
- Department-level authorization and user management
- Management of the 5-tier enterprise knowledge base
- Assigning assistants to teams and monitoring them
Executive
- Full access to every feature and to organisation-wide analytics
- Designing new assistants with the Assistant Creator
- vLLM endpoint and model lifecycle management
5-tier knowledge base
Five access tiers from personal to enterprise: every document lives at the right layer and never reaches the wrong pair of eyes.
Role-based access (RBAC)
Permissions follow your org chart: access rules at role, department and document level, with SSO/SAML sign-in.
Complete audit log
Who accessed which data and when; which agent took which step — in immutable records, ready for audit.
Connects to your existing systems, works on every channel
The platform doesn't demand a fresh start: it connects wherever your data lives and shows up wherever your users work.
Data & system integrations
Connects directly to your enterprise data sources and business systems.
User channels
Your teams reach the assistant inside the tools they already use.
A fixed GPU cost instead of a compounding token bill
- A predictable budgetFixed infrastructure cost: the bill holds no surprises even as usage grows.
- Unlimited tokensLocal models have no token meter; teams use them without hesitating.
Put the architecture to the test with your own scenario
In a 30-minute demo, see the 4-layer architecture, the LLM router and the admin panel through your own use cases, and talk through your technical questions directly with our engineers.