Enterprise AI
The private AI platform for your business
Tackle real workloads with AI your whole organization can use, on one governed platform for models, tools, and agents, deployed into your environment and run by forward deployed engineers.
Different by design
Runs in your environment
Your cloud or on-premise. Never ours.
Any model, one endpoint
Route by task, fall back automatically.
Connected to your systems
MCP servers for the tools you already run.
Governed by your policy
Access control, audit trails, guardrails.
No per-seat fees
Open-source core. Pay providers directly.
Forward deployed
Engineers embedded with your team.
What your team
actually sees
A chat platform your staff already know how to use, carrying your brand and your sign-in, pointed at the models and systems you approved.
Shown with our branding. In your deployment it carries yours, on your domain, behind your SSO.
Solve your biggest AI challenges
right out of the box
See value right away with proven building blocks and the use cases that matter to your business.
Our solutions
Private AI Assistant
LibreChat deployed in your environment, with your SSO, your branding, your data.
Intelligent Model Routing
LiteLLM proxy: one endpoint, 100+ models, fallbacks, and spend controls.
MCP Integrations
Secure, OAuth-wired connections to your databases, CRMs, and internal tools.
RAG and Embeddings
Embeddings over your own records, retrieval tuned to your data, and the same pipeline available to your applications, not only to chat.
Agents & Automation
Custom agents and n8n / Flowise pipelines that do real work, not demos.
Open-Source Model Hosting
Llama, Qwen, Mistral on your GPUs via Ollama or vLLM, with zero API bills.
One control plane for
models, tools, and agents
LibreChat at the front, LiteLLM at the core, MCP to everything else, all governed by your policies.
Tech Citadels Enterprise AI
One governed platform for models, tools, and agents, running inside your boundary
Your policies and human oversight
Governed AI platform
Experience layer
Chat
LibreChat
Assistants
Custom
RAG
Your documents
Agents
n8n, Flowise
Coding
MCP wired
Routing and control
Model router
LiteLLM
Fallbacks
Per provider
Spend controls
Per team
Rate limits
Per key
Vector store
Your documents in context
System tables
Every request recorded
Your infrastructure, your cloud or on-premise
Databases
Read scoped
CRMs
OAuth
Internal APIs
Per user
Your systems, via MCP
Route every request intelligently
LiteLLM sits between your users and every model provider, load balancing across deployments, failing over automatically, enforcing rate limits, and tracking spend per team, per key, per model. Trivial questions go to fast, cheap models. Complex work goes to the frontier.
- One endpoint for 100+ models
- Automatic fallbacks & retries
- Per-team budgets & rate limits
- Spend tracking down to the request
# litellm.config.yaml, deployed by Tech Citadels
model_list:
- model_name: trivial
model: claude-haiku · gpt-5-mini
- model_name: complex
model: claude-opus · gpt-5 · local-llama
router_settings:
routing_strategy: latency-based
fallbacks: [{complex: [local-llama]}]
litellm_settings:
max_budget_per_team: enforced
track_spend: true
Connect AI to everything you run
Model Context Protocol is the universal adapter between AI and your systems. We design and build MCP servers for your databases, CRMs, file stores, and internal APIs, with OAuth 2.0, per-user credentials, and access control lists, so the AI only sees what each person is allowed to see.
Map your integrationsGoverned Enterprise AI, explained
One control plane between your people and every model, tool, and agent, deployed by Tech Citadels, governed by your policies.
Scroll sideways to follow the full flow
Original Tech Citadels diagram. Every layer runs in your environment, under your policies.
Beyond LibreChat:
the full AI practice
One platform is never the whole answer. Around your private AI gateway, we deliver the capabilities that make AI actually stick inside a business.
AI readiness & strategy
Assessments, use-case discovery, ROI modeling, and a practical adoption roadmap.
Custom copilots & agents
Purpose-built assistants for support, sales, research, and operations, not generic chatbots.
Open-source model hosting
Run Llama, Qwen, Mistral and more on your own GPUs with Ollama or vLLM, with zero API bills.
Workflow automation
n8n, Flowise, and Dify pipelines that connect AI to the way your team already works.
AI governance & guardrails
Usage policies, audit trails, cost controls, and guardrails. Governance that enables rather than blocks.
AI PoC in weeks
A working proof-of-concept on your real data before you commit to a full rollout.
Platforms we deploy and integrate: LibreChat · LiteLLM · Open WebUI · Dify · Flowise · n8n · Ollama · vLLM · Chatwoot
Enterprise AI SaaS vs. your own platform
Why organizations are replacing per-seat AI subscriptions with self-hosted platforms.
| Per-seat AI subscriptions | Private platform by Tech Citadels | |
|---|---|---|
| Software license | Per-seat subscription | Free & open-source (MIT) |
| Typical cost model | ~$30–60 per user / month | Pay only for LLM API usage |
| Where data lives | Vendor cloud | Your environment |
| Model choice | Whatever the vendor ships | Any commercial provider, plus local models |
| Tool & data integrations | Limited, vendor-controlled | Any system via MCP |
| Branding & control | Vendor brand, vendor roadmap | Your brand, your roadmap |
What the costs
actually entail
Transparent by design. Most of the stack is free, and you pay providers directly.
LibreChat software
$0Open-source, MIT license, no license fees, ever
LLM API usage
Pay-per-useBilled directly by your chosen providers, no markup
Infrastructure
YoursRuns in your cloud account or on-premise, so you own the spend
Deployment & integration
Fixed-fee projectSSO, LiteLLM routing, MCP servers, RAG, hardening, go-live
Ongoing managed support
Optional retainerUpdates, monitoring, and support by the engineers who deployed it
Get a deployment quote
Tell us your team size and systems, and we'll scope it in days, not weeks.
Start the conversationDelivered by Forward Deployed Engineers
No black-box implementations. Our engineers embed with your team, mapping your data, building your MCP integrations side-by-side with your staff, and staying accountable from first prototype to production. Knowledge transfers to your people as we build.
Ready to put AI to work
inside your business?
Start with an assessment of your systems and use cases. You will get a scoped deployment plan, a cost model, and a working proof-of-concept path.
Get Started
Tell us what you're building.
Whether you need a fully managed open-source stack, a custom product built, or a technology strategy, start the conversation here. An engineer (not a sales rep) will respond.