AI Infrastructure Suite: Private AI on Your Own Compute
The Private AI Suite provides fully managed, private open-source AI infrastructure deployed in your own secure environment or Dedicated Cloud. We deploy drop-in API replacements (vLLM) and stateful agent runtimes (LangGraph) on your raw compute. You own the hardware, you control the data, and you pay a fixed monthly cost — no per-token fees, no vendor lock-in.
The AI Infrastructure Challenge
Stop Renting Intelligence
Public AI APIs charge you per token, punishing you for scaling. By running open-source models on your own compute, you cap your costs and own your margins.
Protect Proprietary Data
Sending your most valuable asset to US-based SaaS companies is a massive compliance risk. Our Private AI Suite keeps your data strictly within your own secure environment.
Zero Vendor Lock-in
We deploy on AWS, GCP, Azure, Verda, or Hetzner. You choose the compute, we build the engine. If you want to move, you take your data and models with you.
Zero DevOps Headcount
Running AI infrastructure is hard. We handle the Kubernetes clusters, GPU drivers, and API endpoints. You get a production-ready endpoint without the MLOps team.
Observability & Tracing
Full Prometheus and Grafana dashboards for GPU metrics and vLLM throughput, plus Langfuse integration for deep LLM prompt tracing and cost analysis.
Custom Models & RAG
Easily deploy fine-tuned models and complex LangGraph workflows. Leverage your own data to build specialized agents that outperform generic public models.
Which AI Product Fits Your Needs?
Private AI Inference
For High-Volume SaaS
High-throughput, fully managed AI inference deployed natively inside your network. 100% OpenAI API compatible.
- vLLM inference server
- OpenAI-compatible API
- Zero-egress network isolation
- BYOC (AWS/GCP/Azure/Verda)
Private Agent Runtime
For Advanced AI Teams
A durable, stateful execution environment for complex multi-agent workflows in your own secure environment.
- Powered by LangGraph
- Stateful execution
- Postgres checkpoints
- Strict data boundary
Private AI Starter Kit
For Small SaaS
A production-ready environment for real-world AI tools, with strict European data sovereignty. Zero infrastructure overhead.
- On-Demand European GPUs
- OpenAI-compatible API
- Absolute data privacy
- Zero infra overhead
How Do the AI Products Compare?
| Service | Setup Fee | Monthly | Best For |
|---|---|---|---|
| Private AI Inference | starting at $3,000 | starting at $1,500 | High-Volume SaaS & Security-Paranoid SMEs |
| Private Agent Runtime | starting at $3,000 | starting at $1,200 | Advanced SME/Enterprise engineering teams |
| Private AI Starter Kit | starting at $495 | starting at $150 | Small SaaS needing production-ready AI backends |
What Are the Boundaries of the Service?
To keep this service affordable and sustainable, we adhere to strict boundaries. We run the platform; you run the code.
Our Responsibility (Infrastructure)
- GPU Infrastructure: We ensure the hardware is running.
- K8s & vLLM: We manage the inference engine.
- Security: We patch the OS and drivers.
- Scenario: ‚API is down‘ -> We fix it.
Your Responsibility (Application)
- Model Selection: You choose the weights.
- Prompts: You write the system prompts.
- Application: You build the frontend/logic.
- Scenario: ‚Model is hallucinating‘ -> You fix it.
Have questions about our AI Infrastructure Suite?
Can I run Llama 3, Mistral, or Gemma?
Yes. Our stack is optimized for all models supported by vLLM, including Llama 3, Mistral, Gemma, Qwen, and custom fine-tuned models.
What about data privacy and GDPR?
We sign a DPA. Your data stays on your dedicated servers in your VPC or European datacenters. We do not use your data to train models. Full GDPR compliance by default.
Is it OpenAI API compatible?
Yes. You can swap your OpenAI base URL and API key, and your app will work without code changes. We serve an OpenAI-compatible REST API.
How does pricing compare to OpenAI?
Because you pay a flat management fee and provide your own compute (BYOC), your costs are capped. For high-volume inference, this typically results in a 50-70% reduction in variable API costs.
Do you offer trials or demos?
We offer paid pilots. Since we provision physical hardware or deploy into your VPC, we cannot offer free tiers. Pilots start at starting at $1,500 for 30 days.
What GPU hardware do you use?
We are hardware agnostic. You can provision Verda Serverless GPUs, AWS p4d, GCP A2, Azure VMs, or Hetzner GEX instances. We deploy the stack on top of your raw compute.
Where are the GPU servers located?
You choose the location. We deploy into your existing AWS/GCP/Azure VPC, or onto dedicated European compute like Verda or Hetzner to guarantee strict data privacy and GDPR compliance.
What monitoring do I get?
Full Prometheus + Grafana dashboards with GPU metrics, vLLM throughput tracking, and logging. You see token/s, queue depth, and GPU utilization in real time.
Reclaim your proprietary data. Deploy Private AI.
Stop sending your proprietary IP to external APIs and managed SaaS. We deploy high-throughput inference and stateful agents directly onto your own Bare-Metal or VPC infrastructure. Execute AI workloads with zero API taxes, zero hyperscaler lock-in, and absolute control over your data.
discovery Zoom. We’ll review your AI workloads, data flows, and current cloud setup, then give you a clear Go / No-Go recommendation. If private inference, agent runtimes, or managed data services make sense for your architecture, we’ll show you the next step. If not, we’ll tell you directly.
Interested? Contact us.
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