Enterprise GraphRAG Platform
Aktus AI's platform for rapid, automated knowledge graph construction and enterprise-grade analytical reasoning.
Enterprise GraphRAG Platform
Aktus AI's platform for rapid, automated knowledge graph construction and enterprise-grade analytical reasoning.
Get Started on Your Preferred Platform
Deploy Nexus Enterprise GraphRAG Platform on your cloud infrastructure
Get Started on Your Preferred Platform
Deploy Nexus Enterprise GraphRAG Platform on your cloud infrastructure
Overview
Nexus is Aktus AI's Enterprise GraphRAG platform designed to rapidly construct comprehensive knowledge graphs with embedded taxonomy and ontology. Built for enterprises, Nexus transforms structured and unstructured data into actionable intelligence, streamlining analytical reasoning and decision-making processes.
How Nexus Works
Rapid Knowledge Graph Construction: Convert enterprise-wide documents, datasets, and information assets into a fully structured knowledge graph. Automated ontology and taxonomy generation ensures semantic clarity and consistency. Achieve in minutes what traditionally requires months of manual labor.
AI-Powered Analytical Reasoning: Leverage agentic Retrieval-Augmented Generation (RAG) for dynamic and contextual querying. Perform complex analytical reasoning by linking data points across diverse datasets seamlessly.
Overview
Nexus is Aktus AI's Enterprise GraphRAG platform designed to rapidly construct comprehensive knowledge graphs with embedded taxonomy and ontology. Built for enterprises, Nexus transforms structured and unstructured data into actionable intelligence, streamlining analytical reasoning and decision-making processes.
How Nexus Works
Rapid Knowledge Graph Construction: Convert enterprise-wide documents, datasets, and information assets into a fully structured knowledge graph. Automated ontology and taxonomy generation ensures semantic clarity and consistency. Achieve in minutes what traditionally requires months of manual labor.
AI-Powered Analytical Reasoning: Leverage agentic Retrieval-Augmented Generation (RAG) for dynamic and contextual querying. Perform complex analytical reasoning by linking data points across diverse datasets seamlessly.
Key Features
Agentic AI Engine: Intelligent agents dynamically interpret and reason using the enterprise knowledge graph, enabling deep insights and predictive analytics.
Automated Ontology & Taxonomy Generation: AI-driven categorization and semantic tagging to streamline knowledge integration.
Multi-modal Data Integration: Supports text, images, PDFs, databases, and structured/unstructured content.
Real-time Knowledge Update: Continuously updates and refines the knowledge graph, maintaining accuracy and relevance.
Technical Advantages
Scalability & Performance: Optimized for high-volume data ingestion and querying with minimal latency.
Enterprise-grade Security: Fully deployable on-premise or within secure cloud environments to meet compliance and data governance requirements.
API & Integration Capabilities: Comprehensive APIs for seamless integration with existing enterprise applications and infrastructure.
Use Cases
Financial Analysis & Decision Support: Rapid insight extraction from financial documents and regulatory filings.
Healthcare & Life Sciences: Knowledge management and predictive analytics from clinical studies and patient records.
Real Estate & Urban Planning: Site analysis, investment feasibility, and asset optimization.
Benefits
Accelerated Insights: Drastically reduces the time-to-insight from complex datasets.
Enhanced Decision Accuracy: Minimize human error with precise, context-aware information retrieval.
Cost Efficiency: Significant reduction in manual labor and analytics overhead.
Key Features
Agentic AI Engine: Intelligent agents dynamically interpret and reason using the enterprise knowledge graph, enabling deep insights and predictive analytics.
Automated Ontology & Taxonomy Generation: AI-driven categorization and semantic tagging to streamline knowledge integration.
Multi-modal Data Integration: Supports text, images, PDFs, databases, and structured/unstructured content.
Real-time Knowledge Update: Continuously updates and refines the knowledge graph, maintaining accuracy and relevance.
Technical Advantages
Scalability & Performance: Optimized for high-volume data ingestion and querying with minimal latency.
Enterprise-grade Security: Fully deployable on-premise or within secure cloud environments to meet compliance and data governance requirements.
API & Integration Capabilities: Comprehensive APIs for seamless integration with existing enterprise applications and infrastructure.
Use Cases
Financial Analysis & Decision Support: Rapid insight extraction from financial documents and regulatory filings.
Healthcare & Life Sciences: Knowledge management and predictive analytics from clinical studies and patient records.
Real Estate & Urban Planning: Site analysis, investment feasibility, and asset optimization.
Benefits
Accelerated Insights: Drastically reduces the time-to-insight from complex datasets.
Enhanced Decision Accuracy: Minimize human error with precise, context-aware information retrieval.
Cost Efficiency: Significant reduction in manual labor and analytics overhead.