Forti Vision delivers applied AI/ML solutions that solve real industrial and infrastructure problems. We focus on operational value, risk reduction, and decision automation, not experimental AI.

Predictive Maintenance & Asset Intelligence

AI-driven models to anticipate failures, reduce downtime, and extend asset life.

Key Capabilities

• Failure prediction for rotating and static assets

• Remaining Useful Life (RUL) estimation

• Anomaly detection on sensor and historian data

• Maintenance optimization and spares forecasting

Applicable Assets

• Transformers, switchgear, breakers

• Pumps, motors, compressors

• Renewable energy assets (solar inverters, wind components)

• Water treatment equipment

AI-Powered OT/ICS Cybersecurity

Advanced threat detection for industrial environments where traditional IT security tools fail.

Key Capabilities

• ML-based anomaly detection on OT network traffic

• Behavioral baselining of PLCs, RTUs, IEDs, and HMIs

• Detection of zero-day and insider threats

• AI-assisted incident prioritization and response

Use Cases

• Early detection of cyber-physical attacks

• Reduced false positives in SOC operations

• Continuous security monitoring for critical infrastructure

Intelligent Operations & Process Optimization

AI models that improve efficiency, throughput, and quality in industrial operations.

Key Capabilities

• Process performance optimization using ML

• Energy consumption optimization

• Yield and loss reduction models

• Real-time decision support dashboards

Typical Industries

• Power generation & T&D

• Water & wastewater utilities

• Oil & gas (midstream and utilities scope)

• Industrial manufacturing

AI-Based Industrial Data Analytics & Visualization

Transform raw OT data into actionable insights for operations and management.

Key Capabilities

• AI-driven analytics on SCADA, historian, and IoT data

• Automated KPI and performance insights

• Root-cause analysis using ML

• Executive and operations dashboards

Integrations

• SCADA systems

• Industrial historians

• Enterprise IT systems (ERP, CMMS, BI tools)

Computer Vision for Industrial & Infrastructure Monitoring

Visual intelligence for safety, compliance, and asset monitoring.

Key Capabilities

• Defect detection using cameras and drones

• Safety compliance monitoring (PPE, restricted zones)

• Visual inspection of substations, pipelines, and facilities

• Environmental and waste monitoring

Deployment Models

• Edge AI

• Cloud AI

• Hybrid architectures

AI-Driven Document Intelligence & Knowledge Management

Automate understanding and retrieval of engineering and operational documents.

Key Capabilities

• AI-based document classification and tagging

• Intelligent search across RFQs, drawings, manuals, and reports

• Automated technical compliance checks

• AI assistants for engineering and tender teams

High-Value Use Cases

• Faster RFQ and tender responses

• Reduced engineering effort

• Improved knowledge reuse

Digital Twins & Simulation Using AI

Data-driven digital replicas of physical systems for prediction and optimization.

Key Capabilities

• Asset and system-level digital twins

• What-if scenario simulations

• Predictive behavior modeling

• Performance and risk simulations

Applications

• Power substations

• Water treatment plants

• Renewable energy systems

AI Integration & MLOps for Industrial Environments

Production-grade AI deployment, not PoCs that die after demos.

Key Capabilities

• AI model deployment on edge, cloud, or on-prem

• Secure integration with OT and IT systems

• MLOps pipelines (monitoring, retraining, governance)

• AI security, explainability, and compliance