Now Live AI Infrastructure Audit — Free 30-min review for SaaS & AI teams
Book Discovery Call
New Trusted by 40+ SaaS & AI teams worldwide

Cloud & AI Infrastructure,
Built for scale.

We help SaaS and AI teams cut cloud spend by up to 40%, hit 99.95% uptime, and ship production infrastructure that actually scales.

Book Discovery Call Get Free Infrastructure Review
✓ No commitment ✓ 30-min consult ✓ Certified engineers
Saved this month
$42,800
Live uptime
99.97%
Cloud data center
prod-cluster · healthy
us-east-1
Requests / sec
14,820
↑ 2.3%
Cost / day
$487
↓ 34%
p95 latency
87 ms
↓ 18%
v2.41.0 deployed to prod
2 min ago
Production-grade engineering · trusted across the stack
The Reality

Where infrastructure silently breaks.

Four walls every SaaS and AI team hits as they scale. We’ve helped over 40 teams break through them — quietly, on production, without breaking a sweat.

01

Cloud bills out of control

Spend outpaces revenue. Reserved capacity sits idle, spot isn’t used where it should be — and nobody on your team has time to fix it.

Avg waste~32% of bill
02

Kubernetes complexity

Misconfigured clusters. Ballooning node groups. GPU workloads that hang. K8s should accelerate you — not absorb six weeks of senior engineering time.

Avg setup6 weeks eng-time
03

AI infra ≠ traditional infra

LLM pipelines, vector DBs, GPU scheduling, RAG systems. Your standard DevOps playbook breaks the moment you put inference traffic through it.

GPU vs CPU4–8x cost overrun
04

Reliability gaps in prod

No SLOs. Weak observability. Slow incident response. Every outage costs revenue, customer trust, and engineering morale all at once.

99.5 → 99.9510x improvement
What We Do

Four focused services. Production-grade outcomes.

No generalist soup. We do cloud & AI infrastructure deeply — for teams that can’t afford guesswork in production.

Cloud infrastructure
Cloud Infrastructure
01 / 04

Cloud Infrastructure

Production environments on AWS, GCP and Azure. Kubernetes done right. Terraform-managed everything. CI/CD engineers actually trust.

AWSGCPAzureKubernetesTerraform
Explore Cloud Infrastructure
Financial dashboard
Cost Optimization
02 / 04

Cloud Cost Optimization

FinOps for engineering teams. Audit, right-size, re-architect for 15–40% lower bills — without compromising performance.

FinOpsCost AuditGPU OptimizationReserved / Spot
Explore Cost Optimization
Monitoring dashboard
Reliability Engineering
03 / 04

Reliability Engineering

SRE practices, observability, incident response. From SLOs to scaling — production behaves like production should.

MonitoringObservabilitySLOs / SLIsAutoscaling
Explore Reliability
AI visualization
AI Infrastructure
04 / 04

AI Infrastructure

LLM pipelines, RAG & Graph RAG, GPU workloads, vector databases, fine-tuning. Production AI without the production headaches.

LLM InfraRAG / Graph RAGVector DBsGPU Workloads
Explore AI Infrastructure
Featured Case Study

How we cut a Series B SaaS’s
AWS bill by 38% in six weeks.

“They saw things we’d been blind to for two years. Within six weeks our AWS bill was down 38% — and not a single user noticed a thing.”

Sarah Chen
Sarah Chen
VP Engineering · Series B SaaS
−38%
Monthly AWS spend
6 wk
Kickoff to delivered
0
Customer-impacting incidents
AWS infrastructure
Cloud Cost Optimization
B2B SaaS · 1.4M monthly active users
AWSEKSRDSReserved InstancesKarpenter
The Difference

With Cloudico vs without.

What it actually looks like to run your infrastructure with — and without — production-grade engineers in your corner.

VS
Without us
DIY infrastructure
Cloud bill grows 2x faster than usage
6 weeks of senior eng-time on K8s setup
Reactive firefights, 3am alerts, no SLOs
AI infra learned the expensive way
Roadmap delays to fix production fires
$200k+/yr to hire one senior SRE
With Cloudico
Engineered for scale
15–40% reduction in monthly cloud spend
Production-ready K8s in 6 weeks, hands-off
SLO-backed reliability, calm on-call
GPU + RAG architectures, day one
Your engineers ship features, not fires
Senior engineering at a fraction of FTE cost
Outcomes

Metrics that actually move.

Aggregate results from production engagements across SaaS, AI, and growth-stage teams.

−40%
Reduction in monthly
cloud spend
avg across 24 engagements
99.95%
Production uptime
achieved
measured over 12 months
3.2x
Faster deployment
cycles
from CI/CD modernization
6 wk
Kickoff to
production-ready
typical Kubernetes scope
Our Promise

Engineering you can actually trust.

Excellent
4.9 / 5.0
Based on 127 verified reviews
01

Senior engineers only.

Every engagement is led by someone with 8+ years in production cloud and AI infrastructure. No juniors learning on your dime.

02

Fixed scope, fixed price.

No hourly creep. If we miss the timeline we set, you don’t pay for the overrun — written into every contract.

03

Zero lock-in. Ever.

Everything we build is documented, owned by you, and runnable by your team after we hand it off.

The Humans Behind It

A small team. By design.

You won’t be passed to a junior. The same engineers you meet on the discovery call are the ones writing your Terraform on day one.

Hassan Ali
Hassan Ali
Founder · Cloud & AI Infra
AWS Solutions Architect Pro12y+
Maryam Khan
Maryam Khan
Senior SRE · Reliability Engineering
Multi-region DR + SLO design9y+
David Reyes
David Reyes
ML Platform Engineer · AI Infrastructure
vLLM tuning + cost engineering7y+
M. Talha
M. Talha
Cloud Infrastructure Editor
AWS cost and infra writing8y+
In Their Words

Founders and engineering leads, on the record.

Cloudico stands out significantly. Their expertise in cloud solutions and DevOps practices has dramatically enhanced our operational efficiency and innovation capabilities. Choosing them was one of the best decisions for our tech strategy.

Bert
Bert Williams
Cloud & DevOps Lead
James
James — CTO, B2B SaaS
on K8s migration
0:28
Nick
Nick — Founder, AI Startup
on RAG infrastructure
0:34
Common Questions

Still not sure? Let’s clear it up.

The questions we hear most often from CTOs and engineering leads before they decide to work with us.

Ask us directly
How long does a typical engagement take?
Most engagements run 4–12 weeks depending on scope. A Kubernetes production setup is typically 6 weeks. A FinOps cost audit is 2–3 weeks. We share a written timeline before kickoff and stick to it.
Do you work with early-stage startups or only mature SaaS?
Both. We’ve helped pre-seed AI startups stand up their first production GPU pipeline, and we’ve helped Series B SaaS reorganize $200k/month AWS bills. The common thread: teams that take infrastructure seriously.
What does an engagement actually cost?
Fixed-scope engagements typically range from $8k for a focused audit to $60k+ for a full multi-region K8s rollout. Retainer SRE support starts at $4.5k/month. We share exact pricing after the discovery call, when scope is clear.
Will you sign an NDA?
Yes. Mutual NDA is standard before discovery. Send yours, or use ours — both work. We treat customer architecture as confidential by default.
What happens after the engagement ends?
You own everything we built — code, Terraform, runbooks, documentation. We do a knowledge-transfer session with your team and remain available for 30 days post-handover for questions. Optional retainer support after that.
What if we already have infrastructure — can you take over?
Most of our work is on existing infrastructure. We start with an audit, surface the highest-leverage improvements, then execute them. Greenfield is rare in real life — we work with what you have.
Our production toolkit
AWS
Google Cloud
Azure
Kubernetes
Terraform
Helm
ArgoCD
GitHub Actions
Prometheus
Grafana
Datadog
Pinecone
LangChain
PyTorch
Neo4j
AWS
Google Cloud
Azure
Kubernetes
Terraform
Helm
ArgoCD
GitHub Actions
Prometheus
Grafana
Datadog
Pinecone
LangChain
PyTorch
Neo4j
Let’s talk infrastructure

Ready to scale
without the firefights?

Book a 30-minute discovery call. We’ll look at your stack, find the highest-leverage wins, and tell you honestly if we’re the right team.

Book Discovery Call Get Free Infrastructure Review
30-min consult No obligation Written report included