Mindy as a graph agent holding a knowledge graph, with insight in minutes

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.

Product Brochure

MindGraph

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

Graph database storing people, companies, money and documents as nodes
  • Store nodes and edges
  • Query and retrieve data
  • Technology-centric

MindGraph

Understands your data, finds patterns, and turns insights into action.

Customer knowledge graph linking account, device, transaction, location and merchant
  • 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
MindGraph data lineage explorer for a customer profitability model
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

  1. Fraud ring detected across linked accounts, cards and transfers

    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

  2. AI agent connected to documents, chats, people and data sources

    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

  3. Single customer profile linked to purchases, banking, calls and analytics

    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.

  4. Data agent using documents, databases and chat apps on secure servers

    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

  5. Supply chain from supplier and factory through warehouse to store

    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

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Technology Partners

Mindwalker

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