The Private Data & Ops Suite: The AI Foundation
Keep your AWS, GCP, or Azure account. Keep your EKS/AKS clusters. Just stop paying the 100% markup on managed databases and observability. We deploy the open-source engines on your raw compute and manage them for a flat fee. Starting at $2,500/mo + starting at $5,000 setup.
Why Are Engineering Teams Rebuilding the Wheel?
The Old Way (You)
- Firefighting infrastructure issues instead of building product.
- Paying 30-50% “Cloud Tax” to AWS/Heroku.
- Developers scared to deploy on Fridays.
- Hiring expensive DevOps engineers ($100k+).
- Maintenance is always “next sprint.”
The Managed Way (Us)
- Managed Platform Engineering included.
- Up to 60% Compute Cost Reduction by moving to Infrastruktur or optimized Cloud instances.
- GitOps Pipelines for safe, instant rollbacks.
- Outsourced Ops — we are your infrastructure team.
- Updates & Patching handled automatically.
What Does the Private Data & Ops Suite Include?
Highly available Postgres (CrunchyData), Redis clusters, and Qdrant / PGVector clusters for RAG pipelines. Stop putting your customers’ proprietary IP in managed US databases. Run highly available data stores entirely within European borders on your own hardware.
Enterprise observability stack (VictoriaMetrics/SigNoz) for logs, metrics, and traces. Datadog is a GDPR liability. We give you a fully managed, unified observability stack on your own compute for half their Enterprise price.
Deep LLM tracing powered by Langfuse. Monitor your AI agents, track token usage, and debug complex prompts without sending your proprietary data to external SaaS providers. Fully integrated into your private environment.
ECK (Elastic Cloud on Kubernetes) or OpenSearch Operator with automated Index Lifecycle Management. Stop paying per-GB indexing taxes. Run enterprise-grade search on your own raw storage.
Dedicated, auto-scaling Actions Runner Controller (ARC) farm. Cut your CI/CD build times in half and stop paying GitHub per minute. We deploy a dedicated, auto-scaling build farm into your cloud.
What Are the Boundaries of the Service?
To keep this service affordable and sustainable, we adhere to a strict “Infrastructure vs. Code” boundary. We run the platform; you run the code.
Our Responsibility (Infrastructure)
- Server Uptime & K8s API: Ensuring the cluster is healthy.
- Database Availability: Keeping Postgres/Redis running and backed up.
- CI/CD Pipeline Health: Ensuring the runners are active.
- Security Patching: OS and Cluster level updates.
- Scenario: “The database drive is full.” -> We fix it.
Your Responsibility (Application)
- Application Logic: Fixing bugs in your code.
- Database Queries: Optimizing slow SQL queries.
- Dependency Updates: Updating npm/pip packages.
- Scenario: “I pushed bad code and the site is 500ing.” -> You fix it (We help rollback).
How Much Does The Private Data & Ops Suite Cost?
Plus starting at $5,000 One-time Setup Fee
- Managed Data & Vector DBs: starting at $2,500/mo
- Managed Observability (Datadog Killer): $2,000/mo
- Managed Search Engine: $2,000/mo
- Managed CI/CD (Instant-Build Engine): $1,500/mo
- Mix and match the exact appliances your AI pipeline requires.
Have questions about our Private Data & Ops Suite?
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.
Are the databases truly highly available?
Yes. We deploy highly available clustered architectures (like CrunchyData for Postgres) on your underlying nodes, complete with automated failover and daily encrypted backups.
Is there a minimum contract term?
No. We operate on a month-to-month basis. However, the setup fee is non-refundable as it covers the initial deployment and architecture configuration.
Do you handle database backups?
Yes. We run automated daily backups with Point-in-Time Recovery (PITR) for Postgres. Backups are encrypted and stored in a separate datacenter.
Do you offer vector databases?
Yes. We deploy and manage Qdrant and PGVector natively inside your VPC for your RAG pipelines and proprietary AI workflows.
What happens if we cancel?
Built on open standards. We build on standard Kubernetes and open-source tooling. If you leave, we give you the keys (Kubeconfig), the Terraform scripts, and the passwords. You can hire another Ops team to take over on day 1.
How does the “Datadog Killer” work?
We deploy a unified observability stack (VictoriaMetrics and SigNoz) plus Langfuse for LLM tracing directly into your VPC. You get full metric, log, and trace retention without paying per-GB ingestion fees to a third-party SaaS.
Is this GDPR compliant?
Yes. All infrastructure runs in highly secure datacenters — deployed in the EU or USA based on your requirements. Since the data never leaves your VPC and we only manage the control plane via Tailscale, you maintain strict data sovereignty.
What monitoring do I get?
Full Prometheus + Grafana dashboards, Loki logging, and Blackbox uptime monitoring. You get a weekly “State of Ops” report summarizing uptime, incidents, and resource usage.
Can we pick and choose appliances?
Yes! The Private Data & Ops Suite is modular. You can start with just the Managed Data & Vector DBs, and add the Datadog Killer or Event Streaming later as your AI architecture scales.
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.
Where Should You Start?
Not sure if a full managed platform is right for you? Start with an audit:
Infrastructure Audit
A starting at $495 one-time assessment. If we can’t find 30% savings, you get a full refund.
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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