Graph Technology

Unlock the hidden gems in your data using graph algorithms and analytics. Our data scientists specialize in extracting meaningful patterns from interconnected data. Our offer:

• Identify Key Players: Whether you want to identify bottlenecks in your supply chain, popular individuals in a social network or important parts in your bill of materials, centrality algorithms provide the answer for all these challenges.
• Find hidden clusters: Social networks, customer segments or fraud rings - these are all examples of hidden clusters within your data. Community detection techniques reveal these groups, allowing you to tailor marketing strategies, detect anomalies, or enhance security.
• Identify patterns: In Recommendation Engines, Protein Interaction Networks or Botnet Detection, entities with similar relationships and properties need to be identified. Similarity algorithms enable efficient data exploration and decision-making across diverse domains.

Imagine an AI that not only answers questions but generates contextually rich responses. Our approach combines a knowledge graph with generative AI models. Here’s how it works:

• Grounded Responses: The AI understands your business-specific data by leveraging the knowledge graph. Responses are accurate, relevant, and explainable.
• Vector Search: Implicit answers meet explicit facts. We seamlessly blend semantic meaning with factual accuracy by iterating through the graph providing context to the answer.
• Data Governance: Control information flow, access, and governance within the graph.