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Autonomous Graph Platform

When Your Graph
Won’t Scale

Go Beyond with the Autonomous, Secure, Semantic alternative

Knowledge Graph Neural Network

Available through IBM, Dell, and TD Synnex, KGNN unifies and contextualizes your data automatically, delivering AI-ready insights in real time without the operational overhead, whether on-premises, in the cloud, or in a hybrid environment.

Why enterprise property graphs hit the wall

  • Scaling limits: Limited horizontal scaling forces costly vertical resource bottlenecks.

  • Integration bottlenecks: No native semantic layer or automated ontology mapping.

  • Manual processes: Heavy reliance on manual ETL and data prep.

  • Security gaps: Not architected for mission-critical, high-security workloads.

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Knowledge Graph Neural Network

Built for scale, speed,
and security by design

  • Autonomous ingestion: Auto-ETL and semantic data mapping from any source.

  • AI-ready architecture: Vector search, semantic context, and explainable AI integration out-of-the-box.

  • Deploy anywhere: On-prem, in the cloud, or hybrid, optimized for edge and mission-critical environments.

Designed for the most demanding environments

  • Healthcare: Real-time patient flow optimization with HIPAA-compliant, edge-ready deployments, technology that can help you know your patients, unifying data from dozens of systems, cutting costs, and enabling personalized care with a single view of each patient’s complete history.
     

  • Prepackaged Software: Accelerated software delivery with automated data ingestion and AI-ready graph integration, enabling real-time analytics and recommendations without manual ETL.
     

  • Finance: Fraud detection with high-degree relationship analysis at scale.
     

  • Insurance: Unified claims analysis with real-time anomaly detection.

Your graph deserves more than patches and workarounds

​Stop battling scaling issues, manual pipelines, and integration delays. Experience the autonomous graph platform trusted by IBM, Dell, and TD Synnex.

📩 Questions? Reach us at info@equitus.us

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