Self-Hosted AI & Private LLM Platform
Run a model-agnostic AI platform on your own servers — on-premise, air-gapped, or in your private cloud. Your data never leaves your walls.
You own the code, the data, and the models, with no per-seat fees. It is the sovereign alternative to renting AI from a single vendor.
Rented AI vs. Self-Hosted AI
Where your AI runs decides who owns your data, your models, and your costs
Public SaaS
Vendor cloud
Your Cloud
AWS · Azure · GCP
On-Premise
Your data center
Air-Gapped
Full sovereignty
ibl.ai deploys across the entire spectrum — and you choose where on it you land.
Rented AI (SaaS)
Fast to start, permanent dependency
- → Runs on the vendor's cloud — your data leaves your walls
- → Locked to one vendor's models
- → Per-seat and per-token pricing that scales with users
- → The vendor owns the platform and sets the terms
- → A chat assistant — you build and host your own agents
Self-Hosted AI (ibl.ai)
Full control, sovereign by design
- → Runs on infrastructure you control — data never leaves your network
- → Model-agnostic — run any open-source or commercial LLM
- → Flat, usage-based pricing with no per-seat lock-in
- → You own the code, the data, and the models
- → Production agents out of the box, plus the tools to build your own
What Is a Self-Hosted AI Platform?
A self-hosted AI platform runs on infrastructure you control instead of a vendor's cloud. Prompts, documents, and embeddings stay inside your network.
A private LLM means the model itself runs in your environment — an open-source model you host, or a commercial model accessed through your own keys and tenancy.
The ibl.ai platform packages both: a full agentic stack you deploy on your servers, with the model, the code, and the data under your ownership.
Own the Code, Data, and Models
You receive the complete platform — not access to someone else's
You receive the full source code
You receive the complete platform source under a perpetual Full Code License — the same code ibl.ai runs in production. Deploy it, modify it, audit it. Your data never trains anyone else's model, and there is no vendor that can revoke your access or change your terms.
Your code
The complete platform source under a perpetual license — yours to deploy, modify, and audit.
Your data
Prompts, documents, and embeddings stay in your environment. Nothing trains anyone else's model.
Your models
Open-source weights you host, or commercial models through your own keys — your choice, always.
Run Any LLM, Including Private Ones
Open-source on your own GPUs, or commercial through your own accounts
The platform is model-agnostic. Run open-source models such as Llama, Mistral, or Qwen privately on your own GPUs.
Or connect commercial models — Claude, GPT, or Gemini — through your own accounts when you want them. Intelligent routing lets you switch models anytime, with no rewrite, via Agentic OS.
Open-source, private
Commercial, your keys
On-Premise, Air-Gapped, or Your Cloud
One platform, every deployment mode — you decide the level of isolation
Deploy on-premise, in your private cloud (AWS, Azure, GCP), in GovCloud, or fully air-gapped with local models and zero external API calls.
See Air-Gapped AI for the isolated-network architecture, or On-Premise Deployment for hosting it inside your own data center.
Your cloud
Your own AWS, Azure, or GCP tenancy
GovCloud
Isolated regions for public sector
On-premise
Inside your own data center
Air-gapped
Local models, zero external calls
Self-Hosted AI vs. ChatGPT, Claude, Gemini & Copilot
The hyperscaler assistants are rented. A self-hosted ibl.ai deployment is owned.
Private AI for Regulated Industries
When data cannot leave your perimeter, self-hosting is the answer
When data cannot leave your perimeter, self-hosting is the answer. Every prompt and response stays inside your environment and is fully logged for audit.
The same private-AI and model-ownership model runs across all eight sectors ibl.ai serves — including healthcare (HIPAA), financial services, and government (FedRAMP).
Lower Cost at Scale — No Per-Seat Lock-In
85%
lower cost at scale vs. per-seat SaaS
Per-seat SaaS pricing punishes growth: every new user adds cost. An owned deployment replaces that with flat, usage-based pricing.
At scale this runs up to 85% lower. Compare your current per-seat spend on the AI Cost Calculator.
Build and Buy — You Get Both
You don't have to choose between building from scratch and buying a locked SaaS tool. You get a production-ready platform you own from day one.
ibl.ai engineers can work alongside your team to connect your data sources and build your agents through Forward-Deployed Engineering. See the full build vs. buy breakdown.
Self-Hosted & Private AI, by Sector
The same ownership model — your servers, your models, your data — runs across every sector ibl.ai serves
Own Your AI Platform
Stop renting AI from a single vendor. Get a model-agnostic platform with full source code, deploy it on-premise, air-gapped, or in your own cloud, and keep your data, models, and costs under your control.