Private AI Infrastructure · Buenos Aires, Argentina · US Eastern hours · SLA 99.99%
Run your LLMs
in your own cloud
Production-ready in 4–6 weeks.
An external platform team deploys and operates your AI and product infrastructure: self-hosted inference (vLLM), GPU cost optimization, Kubernetes, CI/CD and 24/7 monitoring. Your data never leaves your VPC. 99.99% SLA.
§02 / Sound familiar?
This is what teams come to us with
We hear these every week from SaaS companies, AI product teams and regulated businesses. Further down this page — how we close each of them.
Manual deployments take hours
Your team burns 2–4 hours on every release, blocking the pipeline and slowing everyone down
No rollback = anxiety before every push to production
Every deploy is a gamble. When something breaks you fix forward under pressure instead of rolling back safely
Outages when traffic spikes
The app falls over exactly when customers need it most. No autoscaling means lost revenue
Security and compliance gaps
Secrets in .env files, no audit trail, nobody's sure who has access. Customers and auditors start asking hard questions
The team is stuck on ops instead of product
Engineers spend 15–20 hours a week firefighting infrastructure instead of shipping features
Cloud spend growing out of control
Over-provisioned resources, no monitoring, surprise invoices. You're paying 2–3× more than you need to
Can't scale when opportunity knocks
A large customer or partnership appears, but your infrastructure can't take it. So you say 'not yet'
Your AI cloud bill doubled in six months
GPUs sit idle most of the time, nobody knows which workloads burn money, and finance keeps asking questions
Compliance blocks you from OpenAI
Customers, auditors or regulators won't allow production data in third-party AI APIs, so AI features stay stuck in backlog
An external platform team closes all of it — end to end, and on call
We take Kubernetes, CI/CD, monitoring and security under control in 2–4 weeks, then keep them running 24/7 with a guaranteed SLA.
What we cover →§03 / What we cover
Your whole stack —
one team
Not a bench of consultants, but a working platform function on tap: from the first cluster to GPU inference and 24/7 on-call.
Kubernetes
& containers
We design, deploy and run fault-tolerant clusters — staging and production alike.
CI/CD
pipelines
GitLab CI, GitHub Actions, ArgoCD. Every deploy is predictable, with one-click rollback.
Infrastructure
as code
Terraform and Ansible. Environments rebuild from scratch instead of being hand-tuned.
Monitoring
& alerting
Prometheus, Grafana, Loki. You hear about a problem before your customers do.
Infrastructure
audit
An expert read in 3–5 days: bottlenecks, risks and a prioritised plan of work.
24/7
support
On-call rotation, incident response from 15 minutes, guaranteed SLA. No weekends off.
Self-hosted
LLM inference
vLLM and TGI on your Kubernetes: Llama, Qwen, Mistral, DeepSeek served inside your VPC with autoscaling and full observability.
GPU orchestration
& cost
Karpenter, KEDA, spot strategies, right-sizing and scale-to-zero for GPU workloads. We find where your GPU budget leaks and close it.
§04 / Start here — free
Free 30-minute
GPU spend teardown
Before anyone pays for anything: bring your current GPU or AI-cloud bill to a 30-minute call, and we'll point at two or three places the money is leaking. You keep the list either way.
What we look at
- Where your GPU hours actually go, and how much of that is idle capacity
- Whether instance types, regions and scaling match the workload
- Which parts of the bill self-hosting would move — and which it wouldn't
What it costs
Nothing, and there is no proposal deck at the end of it. If your setup is already in reasonable shape, we'll tell you that — it makes for a shorter call and a straight answer.
Book the free teardown →§05 / Private AI Infrastructure
Private AI infrastructure for teams that can't ship data to OpenAI
For FinTech, healthcare, legal and any product where data residency matters. We deploy open-weight models inside your cloud and run them like production software: SLA, monitoring, rollbacks, cost control.
// Guarantee: if the audit doesn't find at least the audit fee in annual savings — it's free.
What stays in your cloud
Model weights, prompts, logs, embeddings — everything.
What we don't do
Model training, fine-tuning, data science. We run AI infrastructure, we don't build models.
§06 / The team
The people who keep your production up
An in-house team, not a freelancer marketplace. In the photo — the core: engineers, managers and product. Off-camera is the L1 duty shift that keeps monitoring running 24/7.
§07 / Comparison
OpsCover vs an in-house hire
| OpsCover | In-house DevOps | |
|---|---|---|
| Time to start | 2–3 days | 2–3 months of hiring |
| Expertise | A team of 12 engineers | One person, with their own gaps |
| 24/7 coverage | On-call rotation, 99.99% SLA | Vacation, sick leave, burnout |
| Cost | Predictable monthly budget | Salary + taxes + risk |
| Scaling | +engineers within a day | Another hiring cycle |
§08 / Case studies
Numbers, not promises
Legal AI Assistant
Crypto Exchange
VPN Service · Kafka
Cloud File Hosting
Insurance Platform Infrastructure
Scalable Marketplace
§09 / Testimonials
What clients say
“It's a real pleasure to work together. I especially enjoy collaborating with Mikhail and Ilya — the relationship is very open, and they respond quickly. They're attentive managers who always keep a close eye on things, ready to dive into any problem and step in to help resolve it. They built out the entire infrastructure for a complex network project and filled the DevOps lead role — we ended up with a fully staffed DevOps team.”
“The collaboration was smooth: the team jumped into tasks quickly, proposed practical technical solutions, and helped resolve issues as they came up. We significantly reduced load on the main server by moving staging copies to a separate infrastructure server and implementing nginx caching with geolocation support. They also set up a convenient auto-deploy process with fast rollback capability.”
“This was a very productive collaboration with extremely fast response times. The company has excellent specialists who are always ready to help and explain every step in detail — which is incredibly valuable in itself. The team built the network architecture for fault-tolerant deployment in Kubernetes, set up monitoring, and provided substantial consulting support. The main result: a solid working foundation and the right direction for infrastructure development.”
“It's great to work with people who don't just complete tasks, but genuinely immerse themselves in the company's problems and product. They don't push solutions because it's the standard approach — they explain and justify why something is necessary in our specific context. The number of incidents dropped by half, and so did recovery time. During peak load periods, when traffic spikes dramatically, the system holds without failures. Stability has become one of our competitive advantages.”
“We highly value our colleagues' professionalism and their genuine desire to help. There were many moments when we came to them with vague requirements and no clear vision of the final implementation — and they quickly turned abstract briefs into concrete technologies. Kubernetes deployment, migration of Jira and Confluence to our own infrastructure, cloud environment setup, SSO configuration — all done. Everything we need is working, and we can deliver our services at the level of quality our clients expect.”
§10 / About us
About us
A team of DevOps engineers with experience in large international projects
We specialize in DevOps engineering outsourcing and infrastructure technical support. Our team works with companies across various industries — from FinTech and eCommerce to VPN services and information portals.
We start every project with an infrastructure audit, identify bottlenecks, and propose optimal solutions. We use only proven technologies and industry best practices.
Reliability
99.99% SLA and 24/7 support
Expertise
A CTO with 20+ years of experience and lead engineers with 8+ years running production infrastructure
No lock-in
We fully document everything we build — hand the project to your own engineer or another team at any time. It's easier with us, but you're never locked in.
Take infrastructure off your plate
Tell us about the project — we'll come back with a plan and an estimate within one business day. No obligations.
If you're running a competitive vendor selection or an RFP, invite us to bid. We'll send everything your procurement process needs — company details, references and security documentation.
Invite us to an RFP