R&D Engine
for AI Collaboration
Analyze AI responses using advanced mathematical concepts including query classification, multi-metric distance analysis, clique detection, and geodesic path optimization.
Advanced R&D Analysis
Discover insights from AI responses using cutting-edge mathematical and computational techniques.
Query Classification
Automatically classifies queries along the Discovery-Invention spectrum using Paolo Pignatelli's R&D concepts.
Multi-Metric Distance Analysis
Computes Euclidean, Manhattan, Voronoi, and Geodesic distances to reveal semantic relationships between AI responses.
Clique Detection
Uses DBSCAN clustering to identify natural groupings of similar approaches and detect consensus patterns.
Geodesic Path Analysis
Finds optimal paths through knowledge space using minimal valid connections between response clusters.
Ready to Analyze AI Responses?
Experience the power of R&D-enhanced convergence analysis with our interactive workspace.
Start AnalysisGet In Touch
Interested in our research or potential collaborations?
Paolo@collaborativ.ai