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Why RealTheory

Enterprise

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Enterprise

Built for the world's most complex

Built for the world's most complex

Built for the world's most complex

Kubernetes environments.

Kubernetes environments.

Enterprise Kubernetes isn't just more clusters. It's more teams, more clouds, more business units, more political complexity. RealTheory was designed for exactly this — and proven at exactly this scale.

Enterprise Kubernetes isn't just more clusters. It's more teams, more clouds, more business units, more political complexity. RealTheory was designed for exactly this — and proven at exactly this scale.

Enterprise Kubernetes isn't just more clusters. It's more teams, more clouds, more business units, more political complexity. RealTheory was designed for exactly this — and proven at exactly this scale.

See Demo

Enterprise security by design

Secure by architecture.

Secure by architecture.

Not by configuration.

Not by configuration.

The Agent

Lightweight collector. 30-second install. Streams metadata only — workload behavior, resource usage, cluster state. Does not touch your cluster configuration or modify your workloads.

KIP & AI Data Handling

Powered by RealTheory's intelligence engine in a closed Azure OpenAI environment. Your cluster data is never sent to third-party AI providers and never used to train external models.

RBAC — Least Privilege

Every user sees only what they're authorized to see. KIP is RBAC-aware at every layer — UI, API, and every KIP integration. The same authorization boundary everywhere.

Proven at enterprise scale

The number that make

The number that make

this real.

this real.

The metrics below highlight the scale of a single customer deployment, showcasing how engineering organizations use the platform to coordinate teams, manage infrastructure, and accelerate delivery across the enterprise.

3,600+

Developers under management

220+

Engineering teams on one platform

400+

Clusters —

multi-cloud fleet

Label augmentation

Your labeling strategy doesn't have to be perfect

Your labeling strategy doesn't have to be perfect

Augment labels inside RealTheory without touching clusters. RBAC, profiles, and policies applied through augmented labels from day one — no labeling remediation project required.

01

If your FinOps tool stops at the namespace, you're seeing the bill — not the problem.

If your FinOps tool stops at the namespace, you're seeing the bill — not the problem.

02

Production automation without full context is operational risk.

Production automation without full context is operational risk.

03

Cost in isolation is a FinOps story. Cost with context is an engineering conversation.

Cost in isolation is a FinOps story. Cost with context is an engineering conversation.

04

A recommendation without an implementation path is just more work.

A recommendation without an implementation path is just more work.

Data governance

Every team sees exactly what they need.

Every team sees exactly what they need.

Nothing more.

Nothing more.

200+ engineering teams. 3 clouds. Inconsistent labeling from 5 acquisitions. One platform. RealTheory answers the "who can see what" question unambiguously.

IaC configurations

IaC configurations

IaC configurations from rightsizing recommendations

IaC configurations from rightsizing recommendations

PR-ready changes

PR-ready changes

PR-ready changes for overprovisioned workloads

PR-ready changes for overprovisioned workloads

Guardrails

Guardrails

Guardrails for resource request standards

Guardrails for resource request standards

Jira integration

Jira integration

Jira integration: insights become trackable tickets

Jira integration: insights become trackable tickets

The Results

Real outcomes for

Real outcomes for

enterprise Kubernetes fleets.

enterprise Kubernetes fleets.

RealTheory calculates cost from Kubernetes telementry directly - matched to your actual negotiated SKU-level pricing, in real time.

RealTheory calculates cost from Kubernetes telementry directly - matched to your actual negotiated SKU-level pricing, in real time.

40-60

40-60

%

%

Reduction in Kubernetes
infrastructure waste

Reduction in Kubernetes
infrastructure waste

Up to 40–60% reduction typical for enterprise deployments where K8s resources are consistently idle.

Up to 40–60% reduction typical for enterprise deployments where K8s resources are consistently idle.

3-5

3-5

mo

mo

Full platform ROI

Full platform ROI

Tool investment returned through realized savings within one quarter — typical for enterprise deployments.

Tool investment returned through realized savings within one quarter — typical for enterprise deployments.

1

1

x

x

Single pane of glass

Single pane of glass

Fleet-wide visibility across every cluster, every cloud, every workload. No context switching.

Fleet-wide visibility across every cluster, every cloud, every workload. No context switching.

For the first time, FinOps and Engineering

For the first time, FinOps and Engineering

For the first time, FinOps and Engineering

operate from the same truth.

operate from the same truth.

operate from the same truth.

RealTheory provides the shared source of truth both teams need — the same data, the same evidence, accessible and actionable for both.

RealTheory provides the shared source of truth both teams need — the same data, the same evidence, accessible and actionable for both.

RealTheory provides the shared source of truth both teams need — the same data, the same evidence, accessible and actionable for both.

See Demo — Optimize with Confidence™

See Demo

See

what

KIP

can

do.

SEE DEMO

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