Graphlet AI specializes in data engineering, data science, and artificial intelligence, focusing on knowledge graph construction. They build robust data pipelines that convert raw data into clean data for graph databases, ultimately facilitating the mapping of complex business domains. Leveraging big data tools, Graphlet AI enhances traditional ETL processes with AI-driven techniques, allowing data science teams to derive insights from their data. Their methodology includes a four-step process: extracting, transforming, and loading datasets into a common format, integrating unstructured data using NLP, performing entity resolution, and employing pattern matching for network motif searches. They use a variety of programming tools and databases to achieve scalable graph solutions.
• machine learning integration
• knowledge graph construction
• data pipeline development
• support for various graph databases
• big data tools
• entity resolution
• integration of structured and unstructured data
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A federated AI framework that integrates decentralized data sources for AI development.
View DetailsTransform unstructured data into structured knowledge for accurate AI solutions.
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