Accessibility – Solution

360° view of your AI systems: unified and decision-making management

Centralize and control all your AI assets for strategic and operational governance

How to move from fragmented management to a global and actionable vision of your AI assets?

Organizations today face a proliferation of AI tools, models and uses, often siloed and poorly documented. Without an overview, they struggle to:

  • Identify redundancies and hidden costs linked to similar solutions deployed in parallel
  • Assess risks (security, compliance, performance) in a consolidated way
  • Prioritize investments based on business value and regulatory challenges

Three critical challenges emerge:

Lack of
visibility:
Impossible to know which models are used, by whom, and for what results — preventing any optimization or control

Siloed
decisions:
IT, data, legal and business teams work with scattered data, slowing innovation and increasing risks

Uncontrolled
costs and risks:

The absence of global monitoring leads to unnecessary expenses (cloud, licenses, maintenance) and greater exposure to security or compliance vulnerabilities

Our solution:
A 360° AI management platform

Fruggr provides a unified, real-time view of all your AI systems, integrating technical, financial, regulatory and operational data

Key features

  • Centralized inventory:
    List all your AI assets (internal models, SaaS, open source) in a single registry, with their metadata (owner, usage, costs, risks)
  • Customizable dashboards:
    Visualize at a glance the performance, costs, carbon footprint and compliance of each system
  • Cross-analysis:
    Identify correlations between usage, ROI, risks and compliance for informed decisions
  • Smart alerts:
    Get notified in case of drift (cost, security, non-compliance) or optimization opportunities

Your benefits

Full control over your AI assets:
A single source of truth to manage your investments and reduce waste

Decisions aligned with strategy:
Prioritize projects based on their business, regulatory and environmental impact

Cost and risk reduction:
Lower AI spending by eliminating redundancies and optimizing resources