Insightful Data Clustering & Visualization
Turn large, unstructured data into semantic clusters for rapid AI application enhancement and outlier detection
OUR SOLUTION
How it works
ADVANCED CLUSTERING
Uncover user interaction patterns with speed and precision
Our Clustering leverages advanced algorithms that excel at rapidly transforming your unstructured data into semantically similar clusters. Each cluster is automatically assigned a clear, meaningful name, intuitively indicating significant user patterns. This enables you to effortlessly focus on critical clusters such as fraud, customer cancellations, or staff dissatisfaction, gaining insights for swift improvement rather than spending hours or days crunching data.
OUTLIER DETECTION
Easily cut through the ‘noise’
Our Clustering functionality effectively differentiates noise from semantically meaningful clusters, grouping all unrelated data inputs into a designated ‘noise’ cluster. Quickly dive into the noise cluster to identify outliers and anomalies, improving the performance of your AI application.
DATA VISUALIZATON & INTERACTION
Visualize relationships between clusters
Experience our interactive clustering map that displays all clusters in a single view, intuitively showing the interactions between them. Easily click through the clusters to explore in-depth insights, with metrics that reveal inter-cluster similarities and inner-cluster quality, offering a comprehensive overview of your datasets in a contextually rich manner.
CLUSTER INSIGHTS
Know your spend and LLM performance by cluster
Gain a clear view of your clusters along with useful metrics such for each cluster as total spend, number of prompts, number of tokens, number of reused responses from caching, and quality scores of LLM models. These insights enable you to swiftly assess costs and LLM performance by cluster, enhancing your AI application for optimal results.