Augment with Data Sciences for Better Explainability
Our Graph Sciences Offerings
Our graph sciences services are designed to leverage the power of graph algorithms, bringing clarity and depth to your data analysis and decision-making processes.
Graph to ML Collaboration
Combine graph algorithms with machine learning to enhance predictive modeling and uncover hidden patterns. This collaboration maximizes the value derived from both graph and ML technologies.
Path Finding & Search
Explore and analyze paths within your graph to identify key connections and dependencies. This service helps in mapping out intricate relationships and understanding network dynamics.
Centrality & Importance
Determine the most influential nodes in your network by measuring their centrality. Understand which nodes play pivotal roles and how their position impacts the overall system.
Community Detection
Discover and analyze clusters or communities within your graph. This service helps in identifying groups with similar characteristics and understanding their interactions.
Similarity Detection
Identify entities within your graph that are similar to each other. This can reveal patterns, correlations, and potential opportunities for targeted actions.
Link Predictions
Forecast potential future links between nodes. By predicting these links, you can anticipate emerging relationships and strategize accordingly.
Random Projections
Apply random projection techniques to reduce data dimensionality and improve computational efficiency. This method helps in simplifying complex data without significant loss of information.
We bring these algorithms (Our IP) to accelerate your business outcomes
Exposure Analytics
$ Value / Volume Exposure to individuals within the Network / Eco System
Between Vertices
Identify all related events, transactions, and connections between two nodes to reveal comprehensive relationships.
Between Vertices Via
Analyze all related events and connections through intermediary nodes to uncover indirect relationships.
Find Risky Links
Detect risky behavior or historical events marked as risky to assess potential threats.
Identity Resolution (Internal)
Resolve customer and counterparty identities within your organization based on shared attributes (name, address, phone, email).
Hop Analysis
Determine the number of hops and connections between two entities to assess the strength and proximity of relationships.
Workspace Page Rank /Centrality
Identify the most influential individuals or entities within a given group based on their centrality and impact.
Identity Resolution (External)
Resolve identities outside your organization using external sources (corporate registries, adverse media, etc.).
Workspace Shortest Path Distance
Find the shortest path between two entities within the workspace to optimize connectivity and information flow.
Ready to Optimize your Graph Sciences?
Contact us to explore how our Graph Sciences services can transform your data strategy, enhance decision-making, and drive business success.
