Hostacker Enterprise AI
Enterprise PreviewPrivate AI infrastructure for your organization
Deploy private LLMs, enterprise knowledge systems and managed AI infrastructure through Hostacker.
Capabilities
Your AI. Your data. Your infrastructure
Six building blocks that together form a private AI platform, operated by Hostacker and scoped to your organisation.
Private LLMs
Deploy isolated language-model infrastructure designed for company data and internal applications.
Enterprise RAG
Connect company documents, procedures and knowledge to private AI experiences.
Dedicated Inference
Reserved or dedicated GPU infrastructure for predictable AI workloads.
Vector Infrastructure
Managed vector databases and embedding infrastructure for enterprise knowledge systems.
MCP & Integrations
Connect AI agents with company systems and Hostacker infrastructure through controlled interfaces.
Security & Governance
Authentication, permissions, audit logs, deployment policies and controlled access.
Enterprise AI is in preview. These capabilities describe what Hostacker is being built to deliver, not services running today.
Architecture
Where Hostacker sits in your stack
Your systems stay where they are. Hostacker operates the AI layer above them and sources the infrastructure below it.
Company
Systems you already run
- Documents
- ERP
- CRM
- APIs
- Databases
Hostacker Enterprise AI
The layer Hostacker operates
- Private LLM
- RAG
- Vector DB
- MCP
- Agents
Infrastructure Layer
Sourced and abstracted by Hostacker
- Compute
- GPU
- Storage
- AI Providers
Data stays inside a boundary you define
Private endpoints and private networking are designed so documents and embeddings are not sent to a shared, multi-tenant inference service.
One layer instead of six vendors
Model serving, retrieval, vector storage, GPU capacity and agent access are contracted, billed and operated as a single platform.
Provider choice stays ours to manage
Hostacker is being designed to abstract and orchestrate infrastructure across providers, so your architecture never encodes whose datacenter it landed in.
Example
Build an internal AI assistant for your company
One concrete shape of the platform: company knowledge behind a private model, governed by your existing identity and permissions.
Build an internal AI assistant for your company
Example architectureCompany documents
128,000
Indexed for retrieval
Private knowledge index
1
Scoped per workspace
Private LLM endpoint
1
Isolated inference
Governance
SSO
Identity from your existing provider
Audit logs
Every query and answer recorded
Role-based access
Answers scoped to permissions
Connected systems
- ERP
- CRM
- Documents
- Databases
Each connector is a controlled interface. The assistant reads only what the requesting user is already permitted to see.
Get in touch
Build your private AI infrastructure with Hostacker
Tell us what your organization needs and we'll design the infrastructure layer around it.