AI – Performance & ROI

Manage the ROI and carbon footprint
of your AI systems

Balance economic performance and environmental sustainability
for competitive, sustainable AI.

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How to optimize your AI investments
while reducing their carbon impact?

Organizations face a dual imperative:

Maximize profitability of their AI projects,
which are often energy-intensive and costly.

Reduce the carbon footprint of their infrastructure,
under regulatory and societal pressure.

Three major challenges arise:

Hidden costs and inefficiency:
Oversized or poorly optimized models generate unnecessary expenses (cloud, energy, maintenance) and avoidable carbon emissions.

Lack of
visibility:
Without integrated monitoring tools, it’s impossible to accurately measure the ROI and environmental impact of each AI system.

Strategic
alignment:
IT and sustainability
teams struggle to reconcile performance and durability goals due to fragmented data.

Our solution:
An ROI & carbon management dashboard

We provide a unified platform to measure, optimize, and track
the financial and environmental performance of your AI systems in real time.

Key features

  • Multicriteria analysis:
    Assess the ROI and carbon footprint of each model by use case, team, or project.
  • Lever identification:
    Detect optimization opportunities (cloud cost reduction, energy-efficient architectures, etc.).
  • Integrated dashboards:
    Monitor your KPIs at a glance, with reports ready for executives and stakeholders.

Your benefits

Up to 23% reduction in AI costs:
By eliminating waste and optimizing your infrastructure.

Carbon footprint reduction:
Up to 30% energy savings through more efficient models.

Informed
decision-making:
Align your AI investments with your business and sustainability goals, using reliable, up-to-date data.