Optimize

Turn cloud waste into safe, continuous savings.

CloudThinker agents detect waste, explain the impact, and prepare policy-approved changes across AWS, Azure, GCP, and Kubernetes — every day, not once a quarter.

Read-only by default. Every change ships through your own approval path.

app.cloudthinker.io/optimizeSynced 06:00
Daily cost view — 14 accounts, 4 clouds
august 1–21 · month-to-date
$184.7k
Month-to-date
Across every connected account
+6.2%
Drift vs forecast
Projected $271k at month end
17
Ranked findings
Each with a confidence score
$41.3k
Savings on the table
Monthly, if all 17 land
Top services by MoM delta
Amazon EC2+18.2%
Amazon Bedrock+11.4%
GKE node pools+4.8%
Amazon RDS−6.1%
Where the waste sits
Idle & oversized$18.9k
Commitment gaps$11.4k
Model tiering$7.2k
Storage lifecycle$3.8k
Daily
not once a quarter
4
clouds in one view
0
consoles to open
Review findings
Ask me anything…

Trusted by cloud teams and ecosystem partners

Diaflow logoNextpay logoF88 logoMSM logoITviec logoFPT Cloud logoAWS logoGoogle Cloud logoGitLab logoDrata logoSecureframe logo
Diaflow logoNextpay logoF88 logoMSM logoITviec logoFPT Cloud logoAWS logoGoogle Cloud logoGitLab logoDrata logoSecureframe logo
Diaflow logoNextpay logoF88 logoMSM logoITviec logoFPT Cloud logoAWS logoGoogle Cloud logoGitLab logoDrata logoSecureframe logo
Diaflow logoNextpay logoF88 logoMSM logoITviec logoFPT Cloud logoAWS logoGoogle Cloud logoGitLab logoDrata logoSecureframe logo

Beyond dashboards

Most FinOps tools stop at the dashboard and recommend.

The agentic loop
Predict

Forecasts spend drift, peak demand, Reserved expirations, and model-tiering opportunities before they hit the bill. Get ahead of the issue — not just react to last month.

See

Reads the workload's role from tags, IAM bindings, traffic patterns, and recent incidents. One view across AWS, GCP, Azure, and Kubernetes — understands why a resource is expensive, not just that it is.

Act

Opens the Merge Request with the diff and the evidence attached. Code and configuration changes, not recommendations to triage. Verifies live state before any change ships.

Learn

Every applied change feeds back. The next similar finding arrives with the prior fix already proposed, linked to the original case. The platform's institutional knowledge stops living in two senior engineers' heads.

Reads the accounts and tools you already run

AWS logoGoogle Cloud logoAzure logoKubernetes logoGitHub logoGitLab logoDatadog logoSlack logo
AWS logoGoogle Cloud logoAzure logoKubernetes logoGitHub logoGitLab logoDatadog logoSlack logo
AWS logoGoogle Cloud logoAzure logoKubernetes logoGitHub logoGitLab logoDatadog logoSlack logo
AWS logoGoogle Cloud logoAzure logoKubernetes logoGitHub logoGitLab logoDatadog logoSlack logo

Inside Optimize

From observation to landed change

Four steps, one console — the same views your FinOps and platform teams live in.

Continuous

A daily, deep view of cloud spend

Every morning Optimize produces a continuous cost view across every connected account. Month-to-date spend, trend against forecast, top services by month-over-month delta, and a ranked list of findings — each with potential savings, a confidence score, and a path to action. Nothing requires the team to open a separate console.

app.cloudthinker.io/optimize/findings21 aug · 06:00
RankedBy savingsBy confidence17 open
01
Oversized EC2 fleet in checkout-api
aws / prod-euw1 / m6i.4xlarge × 22
$8,410/mo
02
Bedrock calls eligible for a cheaper tier
aws / summarizer-batch / 61% of calls
$7,180/mo
03
Reserved Instances expiring in 9 days
aws / 3 accounts / 41 instances
$6,940/mo
04
GKE node pool idle 71% of the week
gcp / analytics-batch / n2-standard-16
$5,220/mo
05
Azure SQL tier above measured load
azure / billing-prod / Business Critical
$4,060/mo

Analyzed

Every finding ships with a plan

Every recommendation comes with the analysis the team needs to evaluate it — not a one-line tip, but a full implementation plan, with effort, risk, source attribution, and step-by-step guidelines attached. The same shape applies whether the resource is a Bedrock model call, an EC2 instance type, a GKE node pool, or an Azure SQL tier.

app.cloudthinker.io/optimize/findings/01
F-01
Right-size the checkout-api EC2 fleet
$8,410/mo
EFFORT
2 hours
RISK
Low · reversible
SOURCE
CUR + CloudWatch
IMPLEMENTATION PLAN
1p95 CPU 19% and memory 34% over 30 days — m6i.4xlarge → m6i.xlarge, 22 instances
2Update the Terraform ASG launch template and the HPA target in the same MR
3Roll one AZ first, hold 24h against the checkout latency SLO, then complete
Open MRterraform/modules/checkout · 2 files, +14 −9

Actionable

Choose your action: analyze, guide, or implement

Every finding offers the same four doors. The team picks the one that matches their confidence in the recommendation, and Optimize takes it from there — from a deeper analysis report, to a scoped set of implementation guidelines, to a custom natural-language query, to a code-and-config Merge Request opened directly in the team's normal queue.

DOOR 01
Deep Dive

A deeper analysis report — assumptions verified against live state before anything is proposed.

DOOR 02
Guidelines

A scoped set of implementation guidelines your own engineers execute, step by step.

DOOR 03
Ask

A custom natural-language query against the finding, the bill, and live infrastructure.

DOOR 04
Implement

A code-and-config Merge Request opened directly in the team's normal queue.

Verified

Verified before it ships

When the team picks a Deep Dive, Optimize does the work a senior engineer would do before approving the change: verifies the assumptions, queries live state, cross-references billing data, and writes up a phased plan with the verification results attached. The output is a plan the team can ship — budget alert on day one, audit on day two, feature-flagged rollout in week one, full ramp after the A/B gate.

Deep Dive — phased plan4 checks passed
[verify] assumption held — p95 CPU 19% over 30d, no burst pattern
[live] queried running state — 22/22 instances match the plan
[bill] cross-referenced CUR — no Savings Plan covers this family
DAY ONEBudget alert armed at the new baselineno change shipped
DAY TWOAudit of every dependent service and SLOread-only
WEEK ONEFeature-flagged rollout, one AZreversible
FULL RAMPCompleted after the A/B gate clears$8,410/mo

Built for every owner

Built for the teams who own the bill

Cost ownership stops being a single team's problem. Optimize meets every role where they already work.

FinOps teams

Findings, not reports

  • Daily ranked savings opportunities
  • Workload-aware right-sizing
  • Reserved & Spot coverage analysis
  • Cross-account, cross-cloud visibility

Platform engineers

Cost guardrails that scale with you

  • Multi-account governance
  • Tag and lifecycle policy enforcement
  • Live-state verification before apply
  • Merge Requests in your normal queue

DevOps leaders

Cost ownership moves to the workload owner

  • Per-service spend visibility
  • Plain-language requests in chat
  • Phased verification before any change
  • Audit-ready reasoning on every MR

Stories

What it changed for them

We leverage CloudThinker to automate 80% of our daily FinOps tasks across our AWS Landing Zone — so the infra team focuses on architecture, not chasing waste.
TNTung NguyenF88
We upgraded our entire production EKS infrastructure in one month with zero downtime, cut RDS costs in half, and added 24/7 proactive AI monitoring. CloudThinker turned the impossible into reality.
NLNextPay LeadershipNextPay
The cloud charges you by the millisecond. Delay optimization, and you're washing money down the drain.
STSteve TranFounder, CloudThinker

Start with AWS support and a CloudThinker FDE.See ROI on day one.

Your AWS agreement and credits carry straight over, and a CloudThinker forward deployed engineer does the onboarding, so the first result lands on day one.

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    Up to $200K in AWS credits

    Applied to your own AWS account.

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    Covered 24/7, on your approval

    Under HIPAA, GDPR and SOC 2 controls.