AI-based

Advisory system for real-time evaluation

Three Engines, One Clear ABCD Score

Pulse-R uses three AI engines to analyze your data and assign a clear A/B/C/D label. Each engine plays a distinct role: one measures performance against your targets, another verifies document completeness, and the third learns from comparable cases. Together, they deliver one actionable score you can trust.

KPI engine

Measure Against Your Targets

The KPI Engine compares your measurable data (e.g., financial metrics, occupancy rates, absence percentages) against your custom-defined targets. The deviation from these targets determines the A/B/C/D label.

Semantic engine

Verify Content Against Rules, Standards And Needs

The Semantic Engine analyzes documents (e.g., policies, contracts, HR files) to ensure they comply with regulations, internal guidelines, best practices and needs. Missing or non-compliant elements result in a D label with guidance for improvement.

Hybrid Recommender

Learn from Comparable Cases

The Hybrid Recommender combines your data with anonymous patterns from similar cases (e.g., industry peers, comparable profiles). This generates an A/B/C/D label with practical recommendations tailored to your context.

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