Reduce cloud spend without distracting engineering teams

We identify high-impact infrastructure savings opportunities and help teams operationalize them with pricing aligned to realized savings.

Performance-based pricing. No upfront cost.

An image of Dreelio's dashboard
An image of Dreelio's dashboard

Optimization across modern infrastructure environments

How It Works

Identify savings. Implement improvements. Realize outcomes.

We review infrastructure usage, identify high-impact optimization opportunities, and work alongside engineering teams to operationalize measurable savings — without disrupting roadmap priorities.

Embedded Execution

Roadmap Alignment

Measurable Outcomes

Continuous Optimization

How It Works

Identify savings. Implement improvements. Realize outcomes.

We review infrastructure usage, identify high-impact optimization opportunities, and work alongside engineering teams to operationalize measurable savings — without disrupting roadmap priorities.

Embedded Execution

Roadmap Alignment

Measurable Outcomes

Continuous Optimization

Why Companies Overpay

Why cloud spend quietly compounds

Infrastructure evolves faster than optimization ownership

As teams scale, cloud environments become increasingly fragmented across workloads, warehouses, and services — making inefficiencies difficult to identify and prioritize

Inefficiencies rarely exist in isolation

Compute, storage, warehouse usage, and query performance often interact in ways that quietly compound infrastructure inefficiencies over time.

Idle Compute Resources

Clusters, instances, and services often remain overprovisioned long after usage patterns change

Storage & Data Sprawl

Logs, snapshots, and cold data accumulate across environments and inflate storage costs

Warehouse Overprovisioning

Teams frequently run larger warehouse configurations than workloads actually require

Query & Pipeline Inefficiency

Poorly optimized queries and pipelines quietly increase compute consumption over time

Why Companies Overpay

Why cloud spend quietly compounds

Infrastructure evolves faster than optimization ownership

As teams scale, cloud environments become increasingly fragmented across workloads, warehouses, and services — making inefficiencies difficult to identify and prioritize

Inefficiencies rarely exist in isolation

Compute, storage, warehouse usage, and query performance often interact in ways that quietly compound infrastructure inefficiencies over time.

Idle Compute Resources

Clusters, instances, and services often remain overprovisioned long after usage patterns change

Storage & Data Sprawl

Logs, snapshots, and cold data accumulate across environments and inflate storage costs

Warehouse Overprovisioning

Teams frequently run larger warehouse configurations than workloads actually require

Query & Pipeline Inefficiency

Poorly optimized queries and pipelines quietly increase compute consumption over time

"CloudScope helped us cut our cloud costs by more than 20%""

Jane Doe

CTO, Company XYZ

"CloudScope helped us cut our cloud costs by more than 20%""

Jane Doe

CTO, Company XYZ

pricing

You only pay when savings are realized

Performance-Based Savings

25%

$87/mo

of realized infrastructure savings

No upfront cost

Embedded implementation support

Continuous optimization included

Savings validated collaboratively

Trusted by [X,XXX]+ businesses across the U.S.

pricing

You only pay when savings are realized

Performance-Based Savings

25%

$87/mo

of realized infrastructure savings

No upfront cost

Embedded implementation support

Continuous optimization included

Savings validated collaboratively

Trusted by [X,XXX]+ businesses across the U.S.