Manage the ROI and carbon
footprint of your AI systems
Balance economic performance and digital responsability
for competitive, sustainable AI.
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 completely optimizing your existing infrastructure.
Carbon footprint reduction:
Achieve up to 30% energy savings by transitioning to more efficient AI models.
Informed
decision-making:
Align your AI investments with your business and sustainability goals, using reliable, up-to-date data.
They improved their IT performance with Fruggr
