The Private AI & Infrastructure Audit: Deploy Private AI
The Private AI & Infrastructure Audit is a one-time, starting at $495 assessment for CTOs and Engineering teams looking to deploy AI but blocked by compliance, or burning $5k+/mo on LLM APIs. In 3 business days, you receive a Safe-to-Move Matrix, an exact infrastructure cost projection, and a BYOC architecture blueprint — showing precisely how to move workloads to raw EC2, GCP, Azure, Verda, or Infrastruktur.
Why Do Engineering Teams Keep Paying the OpenAI Tax?
The Status Quo
- Blocked by CISO/GDPR compliance
- Burning cash on OpenAI APIs
- Unsure how to deploy vLLM
- Fear of data leaks
The Savings Map
- Clear ‚Safe-to-Move‘ Matrix
- Infrastructure Cost Projection
- Private AI Blueprint
- Full Compliance Mapping
What Does the Private AI & Infrastructure Audit Include?
A clear Green/Yellow/Red analysis of your proprietary services, AI APIs, and data flows.
An exact financial projection of your new infrastructure costs, eliminating managed service markups.
The exact migration path to deploy Private AI appliances (vLLM, LangGraph) inside your VPC.
The Value Guarantee
If our blueprint does not deliver a clear, actionable path to deploying your AI privately and securing your proprietary data, we refund the audit fee instantly. No questions asked.
We do not sell audits just to generate PDF reports; we perform audits to prove the infrastructure arbitrage math. If we cannot find at least 30% in infrastructure savings or provide a secure, actionable path to Private AI on your own compute, we will tell you immediately and return your investment. This guarantee ensures your exploration of Bring Your Own Cloud (BYOC) architectures carries zero financial risk.
How Much Does the Private AI & Infrastructure Audit Cost?
Full Money-Back Guarantee
- Comprehensive PDF Report.
- Compliance Mapping — Strict Data Privacy, Zero-Trust, and GDPR readiness
- 1-Hour Consult with Senior Architect.
- Safe-to-Move Analysis.
- Cost Projection.
- Credited back if you hire us.
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.
What are the most common questions about the Private AI & Infrastructure Audit?
How long does it take?
3 business days from receiving read-only access.
Can I implement it myself?
Yes. You own the report and the blueprint.
Do you need write access?
No. We only need ReadOnly access to Cost Explorer and EC2/RDS descriptions.
Who performs the audit?
A Senior DevOps Architect from our team, not a junior or an automated script.
Can I use this report to negotiate with AWS?
Yes. Showing AWS you have a migration plan often helps in negotiating Enterprise Discount Programs (EDP).
Is it really refundable?
Yes. If the audit does not deliver a clear, actionable path to data privacy and infrastructure control, you get your money back.
What if I have Azure or GCP?
This audit is compute-agnostic. We map architectures for AWS, GCP, Azure, Hetzner, Verda, and Infrastruktur.
Do I get a presentation?
Yes. We schedule a 1-hour video call to walk you through the findings and answer questions.
What is the ‚Safe-to-Move‘ Matrix?
It categorizes your services into Green (Move now), Yellow (Needs work), and Red (Stay on AWS).
Once you have your Safe-to-Move Matrix, the next step is implementation. Our clients typically choose one of two paths:
The Private AI Suite
Fully managed, private open-source AI infrastructure deployed inside your VPC. We manage the software; you own the compute.
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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