eot.ai: Powering Industrial Digital Transformation with AI-Driven Insights

eot.ai is a cutting-edge industrial plant optimization platform that leverages AI and a robust Industrial Data Fabric to enable seamless integration between operational technology (OT) and information technology (IT) systems. Designed for enterprise-scale deployment, it empowers teams in manufacturing, oil and gas, energy, and mining industries to build intelligent, scalable solutions—such as digital twins, data lakes, and real-time dashboards—without incurring technical debt. With a modular, vendor-neutral architecture and support for cloud historians, eot.ai accelerates time-to-value through secure, low-latency data streaming, no-code abstraction layers, and advanced AI-driven analytics. Its suite of tools, including Twin Fusion Platform, Twin Sight, Twin Central, Twin Talk, and Gen AI Knowledge Builder, supports predictive maintenance, production optimization, quality control, supply chain improvements, and energy demand forecasting, making it a transformative force in industrial automation.

Key Features:

• Industrial Data Fabric: A unified platform for operational analytics, data ingestion, curation, modeling, and contextualization.
• Twin Fusion Platform: Integrates OT and IT systems for scalable, real-time data workflows.
• Twin Talk: Secure, real-time data ingestion from SCADA and historians to the cloud using software-defined DMZ gateways.
• Twin Sight: Low-code, AI-powered visualization and dashboard builder for real-time data and machine learning insights.
• Twin Central: Semantic asset modeling and digital twin builder with AI-enhanced metadata curation and graph-based relationships.
• Gen AI Knowledge Builder: Leverages generative AI to build contextual knowledge from industrial data.
• AI Edge Controller: Enables edge intelligence with real-time processing and decision-making.
• Asset Catalog Studio: Centralized management of asset metadata and hierarchies.
• Asset Model Explorer: Interactive exploration of asset relationships and contextual data.
• Twin Sight ML Workbench: End-to-end machine learning environment tailored for industrial operations.
• Cloud Historian Architecture: Scalable, secure, and real-time cloud-based data storage and retrieval.
• No-Code Abstraction Layers: Simplifies solution development for OT teams without deep IT expertise.
• Event-Driven Real-Time Streaming: Ensures low-latency data processing for immediate insights.
• Vendor-Neutral & Cloud-Agnostic Deployment: Compatible with any cloud infrastructure, including AWS.
• OSDU Integration: Supports Open Source Data Universe for interoperability.
• Federated Identity & Access Management: Ensures secure, scalable access with built-in redundancy and guaranteed uptime.
• Rapid POC Deployment: Reduces proof-of-concept timelines to just a few days.
• Enterprise-Grade Scalability: Designed to scale from pilot to production across global operations.
• Over 500 Models Built Daily: Demonstrates high throughput and reliability in AI model development.
• Proven Track Record: Over 120 delivered projects and 150+ committed projects with impact across $160B+ in revenue and 60,000+ employees.

Pricing: While specific pricing details are not publicly listed, eot.ai offers a free discovery session to explore tailored solutions, indicating a freemium or trial-based onboarding approach. Given the enterprise focus and custom deployment options, the platform likely operates on a subscription or usage-based model, but the availability of a discovery session suggests a trial or consultative pricing path.

Conclusion: With deep expertise, a modular AI ecosystem, and a proven ability to modernize legacy industrial systems, eot.ai is a powerful enabler of industrial intelligence—delivering real-time, actionable insights and accelerating digital transformation across critical sectors.