Faceplate Industry AI
Transformation way from data flows to reliability, efficiency, and predictive decisions
Tech resilence
Reducing the impact of unplanned downtime
Speed
Accelerated decision-making during critical events
Explainability
Relieving operators from fragmented alarm signals
Reliability
Stable and predictable operations across complex systems
Faceplate Platform — a solution for AI-driven manufacturing transformation
Digital twin
Graph-based and Cause model
Time-series ML
Domain-adapted industrial LLM
Industry processes forecasting
Physics-based digital twins integrate mathematical models to reveal hidden “dark zones” beyond sensor coverage.
They enable accurate "What-if" simulations and risk assessment without disrupting real operations
- Optimization of operating modes
- Risk and constraint assessment
- Operator training and simulation
Capture complex dependencies across assets, processes, and events.
Causal reasoning helps identify true root causes and predict how failures propagate through industrial systems.
- Identification of hidden dependencies
- Root causes analysis
- Failure propagation paths in system
- Correlation of events across assets
Detects subtle anomalies and long-term degradation patterns in high-frequency telemetry.
It enables early warnings and data-driven decisions before issues impact production.
- Real-time telemetry anomalies detection
- Early notify on degradation and performance drift
- Adapted for changing regimes and industry processes
Deep knowledges about equipment, processes, and engineering language.
It turns operational data into actionable insights, explanations, and recommendations for operators.
- Understand industrial terminology, equipment, and process logic
- Explain incidents and recommendations in natural language
- Assist engineers with diagnostics and decision support
- Augment expert knowledge across domains
Predicts equipment behavior, demand, and operational constraints using historical and real-time data.
It supports short-term and long-term casts.
- Forecast telemetry, loads, and operational KPIs
- Capacity and constraint anticipation
- Maintenance decision support
- Market operations and budget planning processes
Architecture that designed for projects with high-elevated reliability requirements
Edge-level instance (Local)
Primary data ingestion via individual drivers
- Supports high range databases (SQL, noSQL), IoT-devices, Industrial PLC equipment
- Interchangeable execution nodes for running projects
- Mathematical evaluation and data-normalization logic
Main-level instance (General Hub)
Telemetry ingestion from all Edge-level instances
- Secondary telemetry ingestion from multiple Edge-level sources
- State estimation for “dark zones” in telemetry and topology
- Supports Cloud-side evaluations
AI-infrastructure layer
Project AI services for data post-processing
- Comprehensive mathematical system model and simulation engine
- Forecasting & Predictive Maintenance system
- AI processing services (MCP, RAG, LLM)
Faceplate Platform — a solution for AI-driven manufacturing transformation
AI-driven transformation solution for industry and manufactories
Built-in development environment
Flexible development of deeply domain-specific industrial solutions
Graphical configuration of processes flows and reports
Design of technological process diagrams, production lines and chains, and Telemetry trends, charts, and reports
Git-based project development
Built-in support for project structure versioning based on Git technology
Data notification and archiving system
Event notifications from technological processes for AI-level post-processing
Faceplate Studio
Project configurator and structure design. Linking archives, notifications, and infrastructure objects
Faceplate Runtime
Execution environment and control of technological processes via HMI and interactive process diagrams
Distributed Realtime-Database
A multi-server storage for real-time data, archives, and notification signals. Data redundancy is built into the platform architecture
Guaranteed Event and Data Delivery
Reliable collection and delivery of telemetry, events, and messages from different data sources (equipment, SCADAs, IoT, IT systems, Cloud-base solutions)
Intellegence that improves industry reliability today
Let's discover the potential of AI for your technological processes and outline the next steps
