How GreenShift works

Discover what’s driving your cloud inefficiency

GreenShift optimizes where cloud inefficiencies originate—in applications, architecture, and infrastructure consumption—laying foundations that widen and deepen in scope as the platform matures.

What the platform does

From insight to efficiency in one unified loop

While existing tools focus only on infrastructure, GreenShift gets to the applications driving it, tracing inefficiency across code, architecture, and infrastructure simultaneously. By understanding the full chain, the platform shows why systems behave inefficiently, shifting optimization from reactive resource tuning to structural improvement at source.

Partners
Step-by-step

Four seamless steps to optimization

1 - 4

Connect

Seamlessly connect to your existing AWS, Azure, GCP, and DevOps pipelines in minutes.

Step 01

Map

Instantly scan your infrastructure, application logic, and emissions hotspots with no manual tagging required.

Step 02

Analyze

Uncover optimization opportunities with clear, prioritized recommendations and auto-tuning triggers.

Step 03

Optimize

Allow GreenShift to automatically optimize performance, cost, and carbon 24/7—all in sync with your workflows.

Step 04
Approach and results

What GreenShift delivers today

How workloads
actually run

Our approach

GreenShift correlates application behavior with infrastructure consumption, revealing which workloads drive cost, performance, and energy impact. This means targeting inefficiency at its source, rather than downstream.

Results

Every inefficiency is attributed to a specific application or workload, instead of a billing line item or infrastructure abstraction, giving your team full upstream visibility.

Platform maturity

A platform that evolves over time

Infrastructure optimization

Make informed, high-impact decisions with application-to-infrastructure correlation, consumption mapping, and actionable infrastructure recommendations.

Available today

Expanding into architecture

The architecture layer goes deeper. Where optimization is proven and repeatable, the platform executes it directly, always with human approval.

The next horizon

Full-stack loop closed

As the code layer is added, insights, recommendations, and automated execution span the full stack. Cost, performance, and energy efficiency compounds.

Full maturity
Governance and compliance

Human oversight, always

GreenShift doesn’t execute on its own. It provides actionable recommendations for your engineering team. As capabilities mature, every automated action requires human approval.

A totally transparent platform

Get full visibility into how applications consume infrastructure, where inefficiency originates, and what drives it—with no hidden analysis.

Every recommendation explained

Make decisions with full context, not blind trust. Every recommendation details what it affects, why it matters, and what impact to expect.

No execution without approval

As automation capabilities mature, every action requires explicit human sign-off before changes are implemented, without exception.

Traceable from cause to outcome

With full end-to-end attribution, you can trace any optimization from application behavior to measured result.

Governance evolves with the platform

Benefit from greater control at every stage of platform maturity. From insights through automation, oversight becomes more precise, not less.