Deploy Enterprise Infrastructure & AI on Your Own Compute
The Private Cloud & AI Partner for Scaling Enterprises. We deploy and manage Private AI appliances and production-grade data platforms directly on your chosen compute (AWS, GCP, Azure, or On-Premise). Eliminate 100% SaaS markups (Datadog, RDS, OpenAI) and regain total control over your proprietary data. You own the infrastructure; we run the engine.
Built for Three Types of Builders
Private AI Suite
Private Data & Ops Suite
Dedicated Kubernetes Platform
Why Infrastructure Arbitrage Works
What is included in the managed infrastructure service?
How does the BYOC deployment process work?
- We map your current cloud architecture
- “Safe-to-Move” analysis: what stays, what moves
- Exact financial savings projection
- BYOC Architecture blueprint
- Clear Go / No-Go recommendation
- No commitment beyond the audit
- Standardized appliance provisioning on your dedicated compute
- Outbound-only, encrypted management tunnel established
- Zero inbound firewall ports required (sealed perimeter)
- Data layer and AI inference deployed natively inside your VPC
- Full monitoring and security from day one
- Continuous platform operations and upgrades
- Proactive security hardening and patch management
- Automated backups and disaster recovery
- 24/7 automated self-healing and monitoring
- Predictable flat monthly retainer
- Strict boundary: You own the app, we own the engine
Frequently Asked Questions
Where does the infrastructure run?
We deploy natively on your raw compute—whether that is AWS, GCP, Azure, Hetzner, or On-Premise. For EU deployments requiring strict data residency, we recommend Hetzner’s European datacenters. We recommend the optimal compute provider and region during your Private AI & Infrastructure Audit.
How much can I save by switching to BYOC (Bring Your Own Cloud)?
Most customers reduce their cloud compute costs by up to 60%. The exact savings depend on your workload mix — compute-heavy stateless applications see the largest reductions. Our Private AI & Infrastructure Audit (starting at $495) maps your entire architecture and provides exact savings projections before you commit to anything. If we can’t find at least 30% savings, you get a full refund.
Do you offer 24/7 support?
Our automated monitoring and self-healing runs 24/7. For human platform engineering support, we discuss coverage scope and response times during the qualification call, as it depends on your tier and requirements.
What happens to my databases during migration?
It depends on which product fits your needs.
Shadow Run / Managed Platform: We migrate your full stack — application and databases — to our managed platform with a 7-day risk-free Shadow Run. We mirror 100% of your incoming HTTP traffic to the clone so you can watch the dashboard handle your peak workload before cutting over.
Managed Platform: We migrate your full stack — application and databases — to your dedicated compute. Managed Postgres or MySQL runs on our infrastructure with automated backups and point-in-time recovery. Near-zero-downtime migration with continuous, secure data syncing. Single environment, fully managed.
The Private AI & Infrastructure Audit (starting at $495) maps your architecture and recommends the right option.
Is this GDPR compliant?
Yes. We enforce strict compliance boundaries. For EU deployments, infrastructure runs in European datacenters (e.g., Hetzner). No shared tenancy, no data leaves your dedicated servers. Region selection is based on your workload and compliance requirements, which we finalize during the Private AI & Infrastructure Audit.
How long does the migration take?
A typical deployment takes 2–4 weeks from audit completion to production traffic on your dedicated compute. The exact timeline depends on the complexity of your application architecture, the number of services, and your testing requirements. We use near-zero-downtime migration strategies so your users never notice the switch.
What if the savings don’t justify the migration?
That’s exactly what the Infrastructure Audit is for. You get a clear Go / No-Go recommendation with exact financial projections before committing to migration. If the numbers don’t work, we tell you — and if we can’t find at least 30% savings, you get a full refund on the audit fee.
Do I need to change my application code?
Typically no. We migrate your containerized workloads to Kubernetes on your dedicated compute. Your application code, environment variables, and CI/CD pipelines remain the same. Secure, private networking ensures your application connects to your databases exactly as it does today.
What does the ongoing management include?
Your flat monthly retainer covers Kubernetes operations and upgrades, security hardening and patch management, automated backups with disaster recovery, 24/7 automated monitoring and self-healing, and incident response. You build your product — we run the infrastructure.
Can I use this for AI workloads?
Yes. We manage dedicated GPU infrastructure for AI inference, RAG pipelines, and fine-tuning. GPU servers are available in European datacenters (Germany and Finland). Total managed AI infrastructure costs 50–70% less than equivalent cloud GPU services, with no per-token fees and no vendor lock-in.
What is the Private AI & Infrastructure Audit?
The Private AI & Infrastructure Audit (starting at $495) is a paid qualification step where we analyze your current cloud architecture. You receive a “Safe-to-Move” matrix showing what stays and what moves to your dedicated compute, exact dollar savings projections, a BYOC Architecture blueprint, and a clear Go / No-Go recommendation. No commitment beyond the audit.
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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