Prebuilt AI Applications. Instant Value. No Complexity.

Launch faster with our library of ready-to-deploy AI solutions — designed for energy, infrastructure, sustainability, and more. No need to build from scratch.

GreentecAI Applications are modular AI microservices and workflows that deliver industry-specific outcomes — without needing complex setups or large data science teams.

Key Benefits:

• Accelerate time-to-impact with tested AI workflows

• Designed for utilities, telecoms, smart cities, and energy systems

• Seamlessly connect to InsightHub, OperationsCenter, or your existing platforms

• Powered by domain-trained models, semantic engines, and automation pipelines

Ideal for: Utilities, SMEs, Municipal Services, Infrastructure Teams, AI-Pilot Programs

What are GreentecAI Applications?

Use Case : Centralized Monitoring & Predictive Maintenance for Telecom Auxiliary Systems

Problem:
Telecom towers rely on distributed auxiliary equipment (batteries, inverters, ATS units) with little to no centralized data collection, leading to delayed fault detection, excessive field maintenance costs, and unplanned outages.

Solution:
GreentecAI’s Universal Energy Management Platform (UEMP) collects real-time data from all auxiliary systems, applies predictive maintenance algorithms, and visualizes alerts centrally.

Benefit:

• Up to 30% reduction in field maintenance costs

• Improved uptime and SLA compliance for telecom providers

Use Case : Microgrid Oversight – Monitoring & Optimization of Hybrid Energy Assets

System Setup: 500 kW PV, 250 kW Diesel Generators, 1.5 MWh Battery Energy Storage (BESS)

Problem:
Microgrid operators face challenges balancing solar, diesel, and battery assets due to lack of unified visibility, load forecasting, and automated control — resulting in fuel inefficiency and premature battery wear.

Solution:
GreentecAI integrates all microgrid components through a unified control dashboard, optimizing generator usage, PV dispatch, and BESS cycles via AI-based energy forecasting and load balancing.

Benefit:

• Up to 22% diesel cost savings

• Extends battery life and lowers operational downtime

Use Case : On-Grid Energy Demand Forecasting

Problem:
Power distributors and grid-scale buyers often face energy procurement mismatches due to inaccurate load forecasting — causing high penalties, demand charges, or underutilization of assets.

Solution:
GreentecAI’s AI-powered demand forecasting engine uses historical demand, weather, and operational variables to generate short- and long-term grid-level forecasts.

Benefit:

• Up to 18% savings on energy costs through improved procurement

• Enhanced load balancing and grid reliability

Use Case : Anomaly Detection for Steel Manufacturing Plant

Problem:
Steel plants with large energy-consuming assets (furnaces, compressors, chillers) suffer from undetected inefficiencies, sensor failures, and irregular operations that increase costs and damage equipment.

Solution:
GreentecAI deploys AI-based anomaly detection on SCADA and sensor data to identify performance deviations, energy leaks, and equipment faults in real time.

Benefit:

• Prevents equipment downtime and energy waste

• Enables proactive O&M and predictive diagnostics

Use Case : Churn Prediction for Banks

Problem:
Banks lose high-value customers due to late detection of disengagement signals — often buried in transaction behavior, call center records, or loan activity.

Solution:
GreentecAI applies NLP and customer behavior modeling to detect early churn signals and trigger retention actions via CRM.

Benefit:

• Up to 20% churn reduction in high-risk customer segments

• Increased customer lifetime value and loyalty

Consult With us