Knowledge Graph structures and connects your data to surface deeper insights, reveal hidden relationships, and power intelligent applications at enterprise scale.
Five graph-native capabilities that turn isolated data points into a living, queryable intelligence layer.
Model any domain as a network of named entities and typed relationships. Automatically discover hidden connections across structured and unstructured data sources — from databases to documents to API responses.
Replace flat table schemas with expressive graph models. Represent complex many-to-many relationships naturally and query them with speed and precision.
Search by meaning, not keywords. Query your knowledge graph using natural language and get contextually ranked, relationship-aware results.
Explore your graph interactively. Pan, zoom, and filter node-edge diagrams to spot patterns invisible in flat data views.
Sub-50ms Cypher and SPARQL queries across millions of nodes — even as the graph grows and new data streams in live.
No graph database expertise required. Knowledge Graph handles the complexity — you focus on the insights.
Connect databases, APIs, documents, and data lakes. Knowledge Graph ingests raw data and normalises it into a unified graph schema automatically.
AI models identify entities, classify relationships, and resolve duplicates — turning raw data into a rich, interlinked knowledge structure.
Use the visual explorer or write graph queries to navigate relationships, find patterns, and surface insights hidden in flat data.
Expose graph data via API to fuel recommendation engines, fraud detectors, search systems, and AI models with structured contextual knowledge.
From personalisation engines to fraud networks — wherever relationships matter, Knowledge Graph delivers the edge.
Leverage relationship depth to power hyper-personalised recommendations — understanding user behaviour, product affinity, and context at graph scale.
Detect suspicious patterns across transactions, accounts, and devices by traversing relationship networks that rule-based systems completely miss.
Build a single, authoritative knowledge base for your organisation. Connect siloed data systems into one queryable, governed graph.
Ground LLM search in structured factual knowledge. Combine vector similarity with graph traversal for answers that are relevant and accurate.
Knowledge Graph pairs graph traversal with AI extraction and ML integration — so your intelligence layer grows smarter alongside your data.
AI-Powered Knowledge Extraction
NER, relation classification & entity resolution
Integration with AI & ML Models
Feed graph context directly into LLMs and classifiers
Context-Aware Data Retrieval
Multi-hop traversal returns richer, deeper results
Graph Analytics
Centrality, clustering, path analysis & more
Stop treating your data as rows and columns. Knowledge Graph reveals the relationships, patterns, and context that drive better decisions and smarter applications.