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DAD
MVP

DAD: Time-series Data Anomaly Detection

Detect contextual, relevant anomaly patterns affecting operations and businesses. Develop atop state-of-the-art AI/ML models/algorithms and streaming analytics with Flink and Spark. Flexible integration and deployment (cloud/on-premise) with APIs and Business Process Management.

Applications
Fraud Detection Service Quality Predictive Mainternance
yaly
MVP

YALY-Doc

AI Assistants/Agents based on edge LLMs for Document Extraction. Provision and support for resource-constrained environments, considering data regulations, costs, and sustainability. Assure quality for accurate extracted results

Applications
Industrial Document Extraction
Brand Transformation
Licensed Tool

LATTE-Q

Profiling data (statistics and visualizations). Detecting bad data. Extracting bad data, outlier data, etc.

Applications
Data Quality