MeisterCore™
How the Platform Work
The MeisterCore™ Platform connects securely to OT systems, IoT sensors, and enterprise databases, unifying them through its Sensor Fusion Engine. This real-time data layer powers forecasting models to predict downtime and energy use, while anomaly detection flags early issues. Digital twin simulations replicate asset behavior, allowing safe testing of “what-if” scenarios without interrupting operations.
Layered with LLM-based copilots, the platform provides contextual recommendations, and the Insight Dashboard Engine delivers real-time KPIs, alerts, and guidance to users. A dedicated sustainability layer tracks Scope 1–3 emissions, while built-in security features ensure compliance with ISO, NERC, and industry standards. The platform continuously learns and evolves, enabling smarter decisions and scalable optimization across assets.
Core Modules & Features
Sensor Fusion Engine
Continuously integrates OT, IT, and IoT data streams for a unified, real-time operational intelligence layer.
Forecasting Models
Accurately predicts downtime, production throughput, and energy consumption using scalable ML-based forecasting pipelines.
Anomaly Detection
AI-powered system that detects early failure indicators, hidden anomalies, and performance degradation patterns proactively.
LLM Copilot
Industrial-grade AI assistant trained on manuals, SOPs, and field data to deliver contextual, real-time decision support.
Simulation Sandbox
Secure digital twin environment for testing operational scenarios, validating AI logic, and optimizing future strategies.
Sustainability Layer
Provides automated tracking of Scope 1, 2, and 3 emissions aligned with GHG Protocol, CDP, and SECR frameworks.
Security Compliance
Ensures end-to-end cybersecurity compliance with ISO, NERC, and other industry-regulated standards and best practices.
Dashboard Engine
Offers role-based dashboards with real-time KPIs, alerts, and AI-driven insights to support faster, informed decisions.
Implementation Process
Assessment & Planning
Evaluate existing systems, define objectives, and identify high-value AI use cases in collaboration with stakeholders.
Data Integration
Connect OT/IT/IoT data sources, validate data quality, and establish secure data pipelines for real-time processing.
Pilot Deployment
Develop and deploy a targeted MVP or proof-of-concept to validate performance, accuracy, and ROI in a controlled setting.
Full-Scale Rollout
Expand deployment across assets or sites, integrate with operations, and activate monitoring, support, and continuous improvements.
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Streamline processes, optimize performance, and gain real-time insights tailored for energy, utilities, and manufacturing industries. Connect with us to explore how our platform can deliver measurable impact.
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