
AI-native graph intelligence
MindGraph
MindGraph combines data from different systems into one knowledge graph. Every connection and pattern can be traced with its full context.
Differentiators
Beyond a usual graph database
MindGraph is just not a database, it’s understands, reasons, recommends, and helps you act
Traditional Graph Database
Focus on storing and retrieving connected data

Store nodes and edges
Query and retrieve data
Technology-centric
MindGraph
Understands your data, finds patterns, and turns insights into action.

UnderstandUnderstand your data and its context.
RecommendGenerate insights and next steps.
ReasonFind patterns and explain why
ActTurn insights into workflow automation
Features
All data connected in one knowledge graph
MindGraph finds data through vector search and traces connections through graph traversal, keeping every result traceable to its source.
- Ontology & Entity Intelligence
- Pattern & Anomaly Detection
- Context-Aware Recommendations
- Full Data lineage Traceability

- Data stored per second
- 177K
- Faster processing
- 650×
- Data handled per second
- 555K+
- Operations per second
- 2.6M+
Use cases
One foundation for vertical use cases

Fraud, Risk Detection & AML
Fraud hides in connections. Rule-based systems check accounts one by one
Links the same person across systems
Surfaces fraud rings rules miss
Traces findings back to the source
Investigators trace relationships in one graph, making findings easier to explain and defend

Agent Memory & Reasoning
Document assistants find mentions, but miss the relationships behind them
Structured memory for LLMs
GraphRAG connect entities and relationship
Use any LLM you choose
Agents reason over one connected model, giving every assistant the same foundation

Customer 360°
Customer data lives across systems under different IDs
Connects records into one customer profile
Links customers to related records
Keeps profiles updated in real time
One connected profile replaces multiple system lookups and integrations.

Data Agent
Knowledge is buried in systems, pushing sensitive data into public chatbots
Agents use your instructions and documents
Connects to internal sources, web, and APIs
Hosted or self-hosted, data stays yours
One knowledge-grounded agent across teams, Slack, Discord, or your apps

Supply Chain Mapping
A failed supplier can impact sites, products, and customers downstream
Maps supply chains in one connected graph
Shows downstream impact of failures
Covers assets and app dependencies
One connected graph supports disruption, planning, risk, and reporting






