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United States • FinOps

Cloud cost optimization in the US — unit economics, not just lower bills

We run FinOps at US scale — forecasting, governance, and unit economics across multi-account AWS. AI/GPU cost control, FOCUS-aligned showback, 30–40% waste teardown, and commitment programs — managed, not just a dashboard.

Sectors SaaS AI / ML E-commerce
US · FinOps readiness
region: multi-region (US)
Governance-led
Cost governance
FOCUS-aligned multi-account showback
In place
AI / GPU spend
Right-sized accelerators & scheduling
Optimized
Billing
USD · invoiced from realized savings
Flexible
Compliance
SOC 2 / HIPAA / PCI workloads
Supported
FOCUS-aligned showback · SOC 2 / HIPAA / PCI ready
30–40%
Typical waste teardown
Before commitment buys
37checks
Free Cloud Cost Audit
Savings estimate in USD
FOCUS
Showback standard
Multi-account allocation
AI/GPU
Cost control
Accelerator rightsizing
Governance-first FinOps

A FinOps operating model built for US scale

In the US the constraint isn't residency — it's sprawl. Dozens of accounts, AI/GPU spend climbing, and finance asking for unit economics no dashboard alone can answer.

SquareOps stands up the operating model: FOCUS-aligned showback, forecasting and budgets, anomaly detection, and a commitment portfolio across Savings Plans, RIs, Graviton, and Spot — managed continuously, differentiated from tool-only vendors by actually doing the work.

Operating-model guardrails

applied to every optimization
  • FOCUS-aligned showback
    Cost allocated across teams and products in the open FOCUS schema — finance and engineering share one view.
  • Forecasting & governance
    Budgets, anomaly alerts, and forecasts so cost is managed forward, not explained after the fact.
  • AI / GPU cost control
    Accelerator rightsizing, scheduling, and Spot for training — the fastest-growing line item, kept in check.
  • Compliance-aware
    SOC 2, HIPAA, and PCI workloads optimized without weakening controls or audit posture.
The levers we pull

Savings levers for United States workloads

Four families of optimization, executed across your us-east-1 / us-west-2 AWS organization.

LEVER 01

Commitment discounts

Right-sized Savings Plans and Reserved Instances tuned to your real usage curve — coverage without over-committing.

  • Compute & EC2 Savings Plans
  • RI coverage & expiry management
  • Commitment laddering for flexibility
LEVER 02

Graviton migration

Move suitable workloads to Arm-based Graviton for better price-performance — assessed, tested, and rolled out safely.

  • Graviton candidacy assessment
  • EKS / RDS / Lambda targets
  • Multi-arch build pipelines
LEVER 03

Spot for the right jobs

Spot capacity for fault-tolerant and batch workloads, with graceful interruption handling so reliability holds.

  • Spot for EKS node groups & batch
  • Karpenter consolidation
  • Interruption-safe design
LEVER 04

Rightsizing

Continuous rightsizing of EC2, RDS, and EKS from real utilization — cut the gap between provisioned and used.

  • Utilization-based recommendations
  • EKS request/limit tuning
  • Storage tier & IOPS optimization
Waste teardown

Where the easy savings hide

Before any commitment purchase, we strip out the spend that delivers nothing. Typical idle-resource reclaim in a mid-size us-east-1 / us-west-2 account:

Waste source
Typical prevalence
Est. monthly reclaim
Idle EC2 / RDS / EKS
stopped-but-billed, zombie nodes
USD 9–18k
per month
Unattached EBS & snapshots
orphaned volumes, stale snapshots
USD 4–9k
per month
Idle NAT gateways
low-traffic / redundant NATs
USD 2–6k
per month
Unused load balancers
no targets / dev leftovers
USD 1–4k
per month
Reclaim before commitment-buying so discounts cover real usage, not waste
Often 15–30% off the bill

Ranges are illustrative for a mid-size AWS account — your free 37-check audit returns figures specific to your environment.

See your savings before you commit

Run the free 37-check Cloud Cost Audit. We review your us-east-1 / us-west-2 account and return a prioritized teardown plan with a USD savings estimate — no obligation.

Run a Free Scan in SpendZero
Coverage

FinOps across the United States

Distributed delivery covering US time zones — anchored to your AWS organization, not a single region.

AWS US regions
us-west-2
Central
us-east-1
us-west-1
Illustrative coverage map — not to scale

Nationwide delivery, AWS-native

We meet US teams in their working hours and tooling — Slack, Jira, and your AWS org — with FinOps that finance, engineering, and leadership can all read.

  • New York BFSI
  • San Francisco SaaS / AI
  • Austin Startups
  • Seattle Cloud-native
  • Chicago Enterprise
  • Atlanta Fintech
Local proof

Trusted by businesses across the United States

Real client outcomes and a success-fee model that ties our reward to your savings.

FinTech platformBFSI
30%
AWS spend reduced

Commitment portfolio plus waste teardown across a multi-account org, with FOCUS showback giving finance per-product unit cost.

BatchServiceData
27%
EC2 cost reduced

Rightsizing, Graviton, and Spot for batch workloads — savings reinvested into capacity, not lost to waste.

AI startupAI / ML
GPU
Accelerator spend controlled

Scheduling and Spot for training plus rightsized inference — kept the fastest-growing line item from running away.

"They gave finance and engineering the same numbers for the first time. The commitment strategy paid for the engagement several times over."
VP Engineering — US SaaS platform
Who we optimize for

Built for US cloud-native & AI-driven businesses

Where spend scales fast and finance needs unit economics, our managed FinOps model fits.

SaaS

Multi-tenant platforms where gross margin lives and dies by cost-per-customer — FOCUS showback and commitments.

Unit economicsShowbackCommitments

AI / ML

GPU-heavy training and inference — the fastest-growing line item, controlled with scheduling, Spot, and rightsizing.

GPU costSpot trainingRightsizing

E-commerce

Spiky, seasonal traffic where over-provisioning is expensive — autoscaling, Graviton, and waste teardown.

AutoscalingGravitonWaste teardown
Engagement models

How you can work with us

Billed in USD. Pick the model that matches your risk appetite — including gain-share that pays from realized savings.

Free Cost Audit

USD 0

A no-cost 37-check review of your AWS org with a prioritized savings estimate. The best place to start.

  • 37-point cost & waste scan
  • Savings estimate in USD
  • Teardown & commitment plan
  • No obligation
Book the audit

Managed FinOps

Monthly

Ongoing optimization with SpendZero — anomaly detection, commitment management, forecasting, and continuous rightsizing.

  • SpendZero monitoring
  • Forecasting & budgets
  • Showback / chargeback
  • AI/GPU cost reviews
Talk to us
Free Cloud Cost Audit

37 checks. One clear savings number. Zero cost.

Point us at your AWS account and we'll run all 37 checks — idle compute, orphaned storage, NAT and load-balancer waste, commitment gaps, and Graviton candidates — then hand you a prioritized plan with a USD savings estimate. Everything stays in us-east-1 / us-west-2.

Results in ~5 business days Read-only access No commitment

What the 37 checks cover

  • Idle & oversized EC2 / RDS / EKS
  • Unattached EBS volumes & stale snapshots
  • Orphaned NAT gateways & load balancers
  • Savings Plan & RI coverage gaps
  • Graviton migration candidates
  • Storage tier & data-transfer waste
…and 31 more — full report after the scan.
FAQs

United States FinOps — common questions

How we differ from cost tools, AI/GPU cost control, and how the optimization actually works.

Tools show you the problem; we fix it. SquareOps pairs SpendZero visibility with engineers who actually execute — buying and managing commitments, running the waste teardown, migrating to Graviton, and standing up FOCUS showback — under a managed or gain-share model. You get outcomes, not another dashboard to staff.
Yes. GPU spend is the fastest-growing line item for most AI teams. We right-size accelerators, schedule training to off-peak and Spot capacity, separate training from inference, and put guardrails and showback on GPU usage so the spend maps to product value.
FOCUS is the open FinOps Foundation billing schema. We allocate multi-account, multi-service cost into a consistent showback model so finance and engineering see the same per-team and per-product numbers — the foundation for unit economics and forecasting.
A no-cost review of your AWS org against 37 cost and efficiency checks — idle compute, unattached storage, orphaned NAT gateways and load balancers, Savings Plan and RI coverage gaps, Graviton candidates, and more — returning a prioritized plan with a USD savings estimate. No commitment required.
Waste teardown lands in the first weeks and often returns 30–40% on the affected resources. Commitment purchases take effect immediately on coverage, and the operating model — showback, forecasting, anomaly detection — compounds over the following months.
Yes. We integrate with your AWS org, CI/CD, and finance process rather than replacing them. The goal is a FinOps operating model your teams own, with SquareOps running or co-running it depending on the engagement.
Other locations

FinOps in other markets

Same operating-model approach, localized to each market's rules and currency.

Turn your AWS bill into unit economics

Talk to a SquareOps FinOps engineer about your us-east-1 / us-west-2 workloads, or kick off with the free 37-check audit. Managed FinOps, billed in USD.

Start Your Free Scan

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