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Cut your cloud bill,
not your performance.

Most clouds run oversized, on guesswork, and nobody has time to clean up. CloudKnife measures what your apps actually need and trims everything else.

Start optimising for free

14 day free trialNo creditcard required

Left, your Azure cloud today: vm-prod-api-03 oversized, staging-cluster idle nights, disk-backup-legacy orphaned. Right, with CloudKnife: the same resources fixed.

CloudKnife runs on

  • Microsoft Azure
  • Google CloudSoon
  • AWSSoon

Trusted by leading Cloud teams

Meet CloudKnife, the FinOps 3.0 Platform

Set up once.
Start optimising in minutes.

Your whole cloud, consolidated in one place.
Cost evolution explained: where the money goes
and what moved it.

Cost evolution chart: what moved your cloud bill from August to September

Catch drift early. Every alert lands with its root cause, so you fix the leak, not the symptom.

A spend alert: +€394 per month, with the root cause

See the full 360. Slice spend by application, team or customer. Cost and ownership, always clear.

Costs mapped per application, team and customer

Optimise with impact. Recommendations land with evidence, context and reasoning. Ready to act in full confidence.

Three recommendations ready to act on, each with its yearly saving

The holy trinity of cuts. Scheduling, commitments and zero waste, each with the saving spelled out.

Rightsizing, scheduling and a savings plan combined for one VM

Every signal, one fix. Tags, usage and budget signals converge into a single candidate solution.

Workload context narrowing eight options down to one recommendation

Easy to adopt. Built to execute. Recommendations don’t gather dust on a backlog. They get carried out, at your pace.

Executed and planned savings per resource

You set the rules. Policies and IaC guardrails decide exactly what Autopilot may touch.

A change moving through approval, IaC update and a maintenance window

Never goes stale. Autopilot keeps adjusting your infrastructure as workloads drift.

Autopilot keeps capacity following the workload

Autopilot

Within your guardrails

Curious what’s hiding
in your cloud?

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Use Cases

Cut to size, whatever
you run in the cloud

Compute

Sized to the job it does

We learn what each compute runs and when, then find the size and schedule that fit.

  • Match the best fit across compute families, not just a smaller size
  • Understand the workload’s role and context before we touch it
  • Prioritise changes by savings, risk and effort
  • See the evidence and trade-offs in one 360° resource view

Databases

Tuned to the load it carries

No database stands alone. We understand each one in the context of your architecture, then cut the waste without the slowdown.

  • Size to the queries it actually runs
  • Understand what shares a pool before you resize it
  • Pause non-production databases when nobody’s using them
  • Match storage and IOPS to real throughput, not the default

Storage

Matched to the data it holds

We learn how each disk and storage supports the workload, then match the tier and clear out what got left behind.

  • Match performance to the workload context
  • Catch disks and snapshots nothing uses anymore
  • Lower redundancy where the data doesn’t require it
  • Match the storage tier to the actual usage

Commitments

Commitments that pay off

Understand what each reservation and savings plan covers, get full use out of them, and make your next commitment with confidence.

  • Trace each commitment to the resources it covers
  • Resize without losing your discount
  • Catch commitments you pay for but don’t use
  • Simulate your commitment strategy before you buy

Solutions

With CloudKnife,
everyone wins

For engineering roles

Stable infrastructure and
the numbers to prove it

  • Run steadier infrastructure, with headroom where it matters
  • Approve every change before it happens
  • Answer the bill question before finance asks it

A reference enterprise deployment onMicrosoft Azure

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Why CloudKnife?

“Why not just use
your cloud’s own advisor?”

Fair question. Advisors are FinOps 2.0: a fine start.
CloudKnife picks up where they stop.

Using Azure Advisor

  • Finds potential savings from usage data
  • Gives your team a list to investigate
  • Presents recommendations individually
  • Shows savings that may not survive your discounts
  • Flags low usage, not when a resource is actually needed
  • Leaves you to organise implementation

Using CloudKnife

  • Understands workload context, its purpose, history and behaviour
  • Does the reasoning and validation. You're ready to act.
  • Combines related actions into one clear plan
  • Simulates each change against your commitments, including who takes over the coverage
  • Finds when resources actually need to run and when they can scale down or switch off
  • Guides your team from decision to execution
Connect your Azure environment

14 day free trialNo creditcard required

  • Whitebox not blackbox. Every recommendation shows its reasoning and data. Never take our word for it.

  • European by design. Hosted on Azure in West Europe and processed in the EEA, under EU law.

  • CloudKnife learns your preferences. Plugs into your environment as it is.

Pricing

Clean, razorsharp
pricing.

What is your monthly cloud spend?

  • Free plan

    For individual developers, or curious minds.

    €0/mo

    Free forever

    Get started
    • Up to €5k spend
    • 3 Azure subscriptions, 2 users
    • Cost overview, evolution and reservations
    • Resources and orphaned resources
    • Optimise preview

  • Standard plan

    For stable clouds requiring visibility and light optimisation.

    €100/mo

    or €1.200 yearly

    Start free trial
    • Up to €50k spend
    • 10 Azure subscriptions, 10 users
    • Cost overview, evolution and reservations
    • Resources and orphaned resources
    • Optimise preview

  • Full plan

    For dynamic clouds requiring continuous optimisation.

    €400/mo

    or €4.800 yearly

    Start free trial
    • Up to €50k spend
    • 100 Azure subscriptions, 100 users
    • Cost overview, evolution and reservations
    • Resources and orphaned resources
    • Optimise preview
    • Every recommendation, with the resource and what to change
    • Every scheduling recommendation
    • Accept, dismiss and track each decision
    • Alternatives, activity history and CSV export
    • Dedicated line to a CloudKnife engineer

Enterprise plan

Contract, billing and limits tailored to your company

  • Everything in the Full plan
  • Onboarding with the CloudKnife team
Talk to sales

Our DNA

Cloud engineers first.
Founders second.

Supported by imec.istart and Startit & KBC

We ran cloud platforms ourselves, so we know why clouds run oversized: under delivery pressure, adding headroom is the safe move, and nobody has time to prove a change won’t hurt.

So we built the tool we kept wishing existed. One that does the detective work, shows the evidence and follows through.

CloudKnife is built in Ghent by Gilles, Thomas and Jonas, three founders who would rather cut waste than write another report about it.

Supported by imec.istart and Startit & KBC

Gilles Uytenhove
Founder & CEO

Thomas Rosseel
Founder & CTO

Jonas D’hollander
Founder & COO

Questions?
Answered.

Everything about CloudKnife and FinOps 3.0.
Not finding it here? Just ask.

No. Every change starts as a proposal that you review and approve. Automation is opt-in and follows rules you define, so you decide exactly how much you hand over.

The third generation of cloud cost management. Generation one gave you dashboards, generation two gave you recommendations. Generation three acts: continuous analysis, business context, and changes that actually get applied, with your approval.

The first analysis starts as soon as you connect. Proposals typically land the same day, and they get sharper as CloudKnife learns your usage patterns.

Azure today. The engine underneath is built cloud-agnostic, so support for other providers is on the roadmap.

DevOps and cloud engineers use it day to day: it speaks their language, with SKUs, metrics and evidence. The results are reported so a CIO or CFO can validate them, with every saving traceable to an approved change.