KGNN - Knowledge Graph Neural Network

0 reviews

Equitus KGNN Automated Data Unification & Semantic AI Platform Equitus KGNN (Knowledge Graph Neural Network) is a next-generation AI-ready data platform that unifies, structures, and contextualizes data—automatically. Built to overcome the limitations of legacy ETL, siloed systems, and batch processes, KGNN turns raw, unstructured, and fragmented enterprise data into enriched, AI-ready knowledge. We built KGNN to automatically transform the overwhelming volume of disparate enterprise data—far beyond what humans can process manually. Our AI-driven platform handles it in real time, enabling automated ingestion and semantic structuring at scale. What KGNN Delivers: Automated Data Ingestion – No traditional ETL needed. Semantic Auto-Mapping – Self-constructing RDF knowledge graph. Unstructured Data Transformation – Turn PDFs, emails, logs, and text into structured, vectorized knowledge. Federated Bi-Directional Integration – Seamlessly sync with legacy and modern systems. Core Capabilities: Break down silos and unify data across legacy + modern systems. Add semantic structure and context for GenAI, BI, LLMs, and more. Enable real-time AI-ready data across your enterprise. Ensure trust, precision, explainability, and privacy in AI systems. Optimize cost and performance with deployment on IBM Power10 and other edge-ready infrastructures. Why It Matters: - Replace expensive, fragile custom connectors. - Contextualize data instantly for LLMs and analytics. - Eliminate delays from batch data handling. - Run on-prem, at the edge, or disconnected environments with full security and governance. KGNN brings context to your data and clarity to your decisions, on a platform built to scale, adapt, and secure your entire data lifecycle. Minimum Specifications IBM Power10/11 40 Cores 512GB RAM 4TB SSD (usable) RedHat OpenShift 4.18 X86/GPU 24 Cores 256GB RAM Nvidia GPU w/ 24GB+ 4TB SSD (usable) RedHat OpenShift 4.18 Equitus KGNN is optimized for both high-performance enterprise hardware and energy-efficient edge deployment.

Equitus Video Sentinel

0 reviews

Equitus Video Sentinel (EVS) transforms traditional surveillance into intelligent, real-time threat detection and forensic insight. As an AI-powered video analytics platform, EVS automatically captures, analyzes, and contextualizes video footage to deliver actionable intelligence at scale. Optimized for IBM Power10 with GPU-free MMA technology, it runs seamlessly on-premises or in hybrid environments while preserving full data sovereignty. Key Capabilities Real-Time Threat Detection: Automatically identifies perimeter intrusions, loitering, unauthorized access, and suspicious behavior using advanced object and behavior recognition. ML-Powered Forensics: Converts video into structured metadata (e.g., color, motion, object type) for rapid search, retrieval, and forensic analysis. Contextual Reasoning via Knowledge Graphs: Integrates with Equitus’ Knowledge Graph Neural Network (KGNN) to correlate video events with external data (e.g., access logs, watchlists, geospatial info). Open & Scalable Architecture: Easily integrates with existing camera networks and major VMS platforms (e.g., Genetec, Milestone). Supports thousands of feeds across large facilities or cities. No GPU Required: Engineered for high performance on IBM Power10 architecture without relying on GPUs—cutting costs and increasing energy efficiency. Core Use Cases Public Safety & Law Enforcement: Detect threats, track suspects, and reconstruct incident timelines. Transportation & Smart Cities: Monitor crowd density, detect unattended bags, optimize passenger flow. Border & Perimeter Security: Continuous surveillance of fences, checkpoints, and smuggling routes. Critical Infrastructure & Utilities: Detect tampering, ensure authorized access, and prevent hazards. Industrial & Commercial Sites: Ensure PPE compliance, detect idle equipment, and enhance operational safety. Top Features Intelligent motion detection, tripwire violation, and loitering alerts Person/vehicle attribute search: color, size, direction, accessories Facial recognition & LPR integrations (via 3rd party plugins) Smart redaction, heatmaps, and pattern analysis Metadata-based forensic search (MILS framework) Alerts and dashboards integrated with tools like Tableau, Microsoft Power BI, and i2 ANB Deployment & Integration On-Prem or Hybrid: Run fully offline or interface with cloud services Vendor-Agnostic: Works with analog, digital, or hybrid camera systems Scalable: From single-site deployments to national security networks Secure by Design: Built for compliance with CJIS and other regulatory frameworks Why Choose EVS EVS helps teams act before incidents escalate—reducing response times, eliminating blind spots, and delivering intelligent surveillance without requiring infrastructure overhaul. It’s already protecting sensitive sites from U.S. borders to commercial hubs.