Anomaly Detection
Our knowledge graph solutions build contextual taxonomies linking entities across your data ecosystem to power predictive analytics, personalization and more.
01
Baseline Modeling
Vast historical data trains self-learning models of normal operational patterns and inter-variable relationships.
02
Multivariate Monitoring
Simultaneous evaluation of diverse metrics detects subtle anomalies across related factors.
03
Anomaly Scoring
Deviations generate real-time scores calibrating each event's likelihood and importance.
04
Root Cause Analysis
Descriptive analytics pinpoint anomalous metrics and their probable upstream causes.

Intelligent Search

Our intelligent search solutions apply machine learning to index vast semi-structured repositories and surface the most useful information to answer queries.

Computer Vision

By customizing models to your unique content domains, we help organizations harness insights from visual assets to optimize operations, enhance experiences and more.

Enterprise Knowledge Graph

Connected Intelligence for Strategic Advantage As organizations gather extensive volumes of diverse data across business lines, the opportunity to extract unified understanding grows exponentially. However, information residing in application silos or disconnected systems limits strategic perspective. An enterprise knowledge graph (EKG) addresses this challenge by establishing a virtual intelligence nucleus linking relevant entities and semantics from distributed sources.

Recommender System

Our recommender solutions apply machine learning to analyze user behavior and item attributes, delivering individualized suggestions that drive engagement and satisfaction.

Embedded AI

Our embedded AI solutions develop custom machine learning models optimized for deployment on edge devices to power autonomous functionality.

USE CASES 1

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