Our Solutions

Demand Forecasting

  • Day-ahead Forecasting
  • Long-term Forecasting

Financial Forecasting

  • Revenue Forecasting
  • Expense Forecasting

Preventive Maintenance (IoT)

  • Transformers
  • Feeders
  • Water Pipeline
  • Gas Pipeline

Capex Planning

  • Network Analysis
  • Ageing Analysis

Regulatory Search Engine

  • RPA – Data Extraction
  • NLP of Legal Documents


  • Customer Segmentation
  • Tariff planning and recommendation
  • Demand Response Management
  • Chatbots for customer service

Case Studies

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10% Reduction in breakdown of Transformers

We collect data from IoT sensors installed in each distribution transformer and enrich it with past maintenance history to accurately predict high risk transformers that are likely to fail. Powered with this information, proactive maintenance of transformers can be done to reduce down-time by at least 10%.

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Reduce your ABT/DSM penalty by 15% with better Day-ahead load forecast

With use of machine learning algorithm, we have improved forecast accuracy over traditional methods for Distribution companies. This has helped improve grid stability and reduce penalty by at least 15% as per prevailing ABT/DSM regulations.

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Prepare your Annual Revenue Requirements (ARR)

We help Discoms prepare ARR using historical data to estimate future expenses for each category (Repair & Maintenace, Operations, Employees cost, Fixed cost etc).