You already know something is wrong. You just can't prove where.

Most estates arrive here with one of three things going wrong.

“

We don't have confidence in what is documented.

What is written down is partial and ages quickly, so no one can vouch for it, and the dependency nobody recorded surfaces during the cutover window.

“

We have no unified view across on-premises and cloud.

CMDBs and other systems of record sit in separate tools that are not integrated and each hold part of the estate, so there is no single source of truth, and every decision downstream inherits the gaps.

“

We find compliance gaps in an audit.

Compliance is checked on a schedule, not continuously, so end-of-support software, open vulnerabilities, and CIS drift come to light only when someone looks.

“

Nobody looks for further savings once we land.

Cloud services and workloads keep changing, but reassessment is rarely continuous. Right-sizing and optimization usually start long after the move, and the bill carries the difference.

One view answers all four.

See how each of these gets handled ›

One estate, one record

Every stage reads from the same data.

Cloud services, requirements, and workloads keep changing, so a one-time inventory ages quickly. Matilda Cloud keeps one source of truth for the whole estate, on-premises and in the cloud.

Moving day

See

Full visibility across your on-premises, cloud, and multi-cloud estate. Traffic, dependencies, and cost, observed in real time.

Plan

Reduce migration risk before anything moves, with dependencies and cost known in advance and the order of moves decided on that basis.

Move

Migrate or modernize against that plan, on the same data the plan was built from, with automation in place of manual work.

Every day after

Run

Keep what is running matched to what was agreed while the estate carries on changing. Cost, compliance, and exposure come from data that is current the day you act on it, and further savings are identified as they appear.

See the full solution ›

Most estates move with a partner.

Global integrators and managed service providers run Matilda inside their own delivery practice. Where a partner already holds the account, the platform works under them.

stc
Deloitte
Birlasoft
opsguru
Astute Business Solutions
Compass MSP

Show more

Partner with us ›

stc
Deloitte
Birlasoft
opsguru
Astute Business Solutions
Compass MSP

Show more

Partner with us ›

Simple to move.
Simple to run.

Wherever your workloads run today, Matilda Cloud is the AI-powered platform that makes your cloud estate simple to move and simple to run. One platform, one view, continuously powered by AI, from the first data point to every decision after.

See how it works

Partner with us

Simple to move.
Simple to run.

Wherever your workloads run today, Matilda Cloud is the AI-powered platform that makes your cloud estate simple to move and simple to run. One platform, one view, continuously powered by AI, from the first data point to every decision after.

See how it works

Partner with us

Simple to move
Simple to run.

Simple to move.
Simple to run.

Wherever your workloads run today, Matilda Cloud is the AI-powered platform that makes your cloud estate simple to move and simple to run. One platform, one view, continuously powered by AI, from the first data point to every decision after.

See how it works

Partner with us

You already know something is wrong. You just can't prove where.

“

We don't have confidence in what is documented.

What is written down is partial and ages quickly, so no one can vouch for it, and the dependency nobody recorded surfaces during the cutover window.

“

We have no unified view across on-premises and cloud.

CMDBs and other systems of record sit in separate tools that are not integrated and each hold part of the estate, so there is no single source of truth, and every decision downstream inherits the gaps.

“

We find compliance gaps in an audit.

Compliance is checked on a schedule, not continuously, so end-of-support software, open vulnerabilities, and CIS drift come to light only when someone looks.

“

Nobody looks for further savings once we land.

Cloud services and workloads keep changing, but reassessment is rarely continuous. Right-sizing and optimization usually start long after the move, and the bill carries the difference.

One view answers all four.

See how each of these gets handled ›

One estate, one record

Every stage reads from the same data.

Cloud services, requirements, and workloads keep changing, so a one-time inventory ages quickly. Matilda Cloud keeps one source of truth for the whole estate, on-premises and in the cloud.

Moving day

See

Full visibility across your on-premises, cloud, and multi-cloud estate. Traffic, dependencies, and cost, observed in real time.

Plan

Reduce migration risk before anything moves, with dependencies and cost known in advance and the order of moves decided on that basis.

Move

Migrate or modernize against that plan, on the same data the plan was built from, with automation in place of manual work.

Every day after

Run

Keep what is running matched to what was agreed while the estate carries on changing. Cost, compliance, and exposure come from data that is current the day you act on it, and further savings are identified as they appear.

See the full solution ›

Most estates move with a partner.

Global integrators and managed service providers run Matilda inside their own delivery practice. Where a partner already holds the account, the platform works under them.

stc
Deloitte
Birlasoft
opsguru
Astute Business Solutions
Compass MSP

Show more

Partner with us ›

stc
Deloitte
Birlasoft
opsguru
Astute Business Solutions
Compass MSP

Show more

Partner with us ›

Case studies

See all case studies

A $25B bank automated its way off Pivotal Cloud Foundry.

PCF demanded specialized expertise, and manual planning was slowing timelines and inviting rollbacks. Automated discovery, dependency mapping, and generated IaC carried the first five applications onto Amazon EKS, and the same framework now covers a scope past 1,600.

  • 95%fewer rollbacks
  • 50%faster planning and analysis
  • 1,600+applications in expanded scope
Read the case study

No preferred destination.

Matilda scores every workload against all four hyperscalers on the same data. The target comes out of the assessment.

Amazon Web Services

Microsoft Azure

Azure

Google Cloud

Google Cloud

Oracle Cloud

OCI

Recently published.

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Start with a rapid assessment. Costed recommendations in about a day.

Start with a rapid assessment. Costed recommendations in about a day.

Migrations already in motion can step in at any stage. Wherever you start, the platform picks up from there.

Schedule a demo

Recently published.

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Perspectives

Perspectives

Perspectives

What we are seeing across live estates. Case notes, research, and the occasional argument.

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Lets talk.

Tell us what you are working with. Someone from the team reads every one of these and replies quickly.

Lets talk.

Tell us what you are working with. Someone from the team reads every one of these and replies quickly.

Lets talk.

Tell us what you are working with. Someone from the team reads every one of these and replies quickly.