skie.io

Cloud should create
leverage, not operational drag.

We help organizations reduce operational drag, improve cloud efficiency, and create more room for innovation.

The Self-Funding Cloud

One connected operating model — designed to compound.

Each part funds, enables, or amplifies the next. Optimization creates savings. Savings fund operations. Operations create the conditions for automation. And the model keeps reinforcing itself.

OPTIMIZE Reduce Waste. Create Savings OPERATE Stabilize. Run Efficiently SAVE Fund Operations from Savings INNOVATE Deploy AI at Enterprise Scale SELF-FUNDING CLOUD
Why we exist

Cloud became harder to manage than it should be.

We kept seeing the same set of compounding pressures across organizations of every size. skie.io was built to make those pressures dissolve — not paper over them.

Rising cloud costs

Cloud spend rises faster than business value. Unused resources, untagged spend, and over-provisioned infrastructure drain budgets with no clear path to control.

Cloud spend often grows faster than visibility and control.

Operational overload

Day-to-day monitoring, incidents, patching, and tickets consume skilled engineers. Too much time on maintenance, too little on innovation.

The work is constant; the engineering bandwidth isn't.

Fragmented tooling

A patchwork of FinOps, monitoring, ticketing, and security tools creates blind spots, double work, and integration debt across teams.

Visibility and action live in different places.

Manual workflows

High-friction workflows stay manual. Critical knowledge is fragmented across systems. Traditional automation breaks on real-world exceptions.

Repetitive tasks crowd out higher-value work.

Limited engineering

Specialized cloud, FinOps, and AI talent is scarce — and expensive to retain. Internal teams can't keep pace with platform demands.

Specialized expertise is scarce — and slow to hire.

No unified model

Optimization, operations, and AI are treated as separate budget lines. No flywheel. Savings don't compound. Cloud never pays for itself.

Savings don't compound when efforts stay in silos.
What we believe

A few principles have stayed constant.

As skie.io has grown, the way we work hasn't changed. These four ideas guide how we build, how we partner with customers, and how we measure whether we're doing our job well.

01

Clarity over complexity

Cloud environments are complex enough. Our job is to make decisions clearer, operations simpler, and outcomes easier to measure — not to add another layer customers have to manage.

02

Engineering-led, not account-led

Customers work with cloud, FinOps, and automation engineers — the people who actually understand the operational reality behind every recommendation. Not account managers reading from scripts.

03

Compounding, not one-time

Cloud value should grow over time. Optimization savings fund better operations. Stronger operations enable smarter automation. Each engagement should be worth more in year two than it was in year one.

04

Trust through transparency

Customer data stays in customer accounts. Recommendations come with the reasoning behind them. Workloads run where customers can see them. Trust is earned through how we operate — not how we market.

From principle to practice

How that point of view became the way we work.

Our beliefs about cloud management didn't arrive all at once. Each capability — optimization, operations, automation — emerged from a real customer need, and over time we built them to reinforce each other rather than stand alone. The result is a connected model, not a stack of services.

01

Cloud optimization

The starting point: helping organizations cut unnecessary cloud spend and use what they have more effectively.

Visibility into waste, smarter resource decisions, and continuous tuning — the foundation everything else builds on.

02

Managed operations

As environments grew more complex, customers needed more than recommendations. They needed operational support.

Day-to-day management with stronger governance, better reliability, and less burden on internal teams.

03

Intelligent automation

Operational scale exposed a new bottleneck: high-friction workflows that slow execution and tie up skilled people.

AI-driven automation applied where it matters most — resolving exceptions, accelerating decisions, improving quality.

04

Connected model

The three capabilities work better together than apart. Optimization funds operations. Operations create the conditions for automation. Automation compounds the value of both.

One connected model — designed so each part reinforces the others.

How we put this into practice

One operating model, three reinforcing parts.

Each addresses a real customer problem. Together, they make cloud easier to manage and the value compounds over time.

Sage

Sage

Cloud efficiency

Reduce waste and improve cloud economics through intelligent right-sizing, commitment optimization, and forecasting.

Guardian

Guardian

Operations without the drag

Run cloud operations with proactive monitoring, governance, and engineering oversight — so internal teams can focus elsewhere.

Muse

Muse

Intelligent automation

Take on the manual, exception-heavy work across ERP, ITSM, HR, and procurement using AI agents that act on real context.

Leadership

The people building skie.io.

The founders, executives, and platform engineers behind skie.io.

Sal Jamil

Sal Jamil

Founder & CEO
Dean Adamopoulos

Dean Adamopoulos

Founder & President
Rachad Honein

Rachad Honein

CTO
Rogério Gonçalves

Rogério Gonçalves

SVP Platform Engineering
Manos Papakonstantinou

Manos Papakonstantinou

VP Cloud Services
Ernesto Leyva Freundt

Ernesto Leyva Freundt

CMO
Alfredo Loyola

Alfredo Loyola

Service Delivery Director, LATAM
Alec Griffiths

Alec Griffiths

Global Sage Product Owner
Danilo Acquaviva

Danilo Acquaviva

Lead Platform Engineer
Francisco Freire

Francisco Freire

Lead Platform Engineer
Lenon Oliveira

Lenon Oliveira

Lead Platform Engineer
Global Delivery

Engineering and operations around the world.

A globally distributed team delivering optimization, managed services, and AI automation across the Americas and Europe.

USA
United States Fort Lauderdale, FL · Charlotte, NC
HQ
Brazil
Brazil São Paulo
LATAM
Peru
Peru Lima
LATAM
Portugal
Portugal Lisbon
EMEA
World map showing skie.io offices USA Peru Brazil Portugal
Ready to start?

Want to see how this might apply to your cloud?

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