Peak Demand
India successfully met an all-time peak electricity demand of 256.1 GW on April 25, 2026, without shortage.
Source: Ministry of Power / PIB ↗Bring asset information, operational data, documents and enterprise systems together to help energy and utilities teams improve visibility, reduce manual work and make faster, informed decisions.
Discuss Your Energy & Utilities Use CaseThe power and utilities environment is changing rapidly.
Renewable generation is expanding, smart-meter deployments are increasing and utilities are managing growing volumes of data across generation assets, networks, customers, field teams and enterprise systems.
The opportunity for AI is to help organisations make better use of this information through asset intelligence, exception detection, document automation, workforce support and operational decision-making.
For critical infrastructure, those capabilities must also operate within stringent security, reliability and governance requirements.
India successfully met an all-time peak electricity demand of 256.1 GW on April 25, 2026, without shortage.
Source: Ministry of Power / PIB ↗India's installed renewable-energy capacity reached 288.58 GW by June 30, 2026, almost four times the 2014 level.
Source: Ministry of New & Renewable Energy / PIB ↗By January 15, 2026, approximately 5.62 crore smart meters had been installed across India under RDSS and other initiatives.
Source: Ministry of Power / PIB ↗India's installed electricity-generation capacity stood at approximately 524 GW as of February 28, 2026.
Source: Ministry of Power / PIB ↗Scroll to explore the operational network →
As infrastructure becomes more connected, the value shifts from simply collecting operational data to knowing what requires action.
Analyse approved operational information to identify patterns and exceptions.
Enterprise AI DevelopmentApply computer vision to defined safety and compliance requirements.
Computer VisionImprove access to manuals, inspection records and technical documentation.
Document AISupport utility vehicles and distributed field-service fleets.
Fleet IntelligenceHelp authorised employees access procedures, policies and operational knowledge.
Generative AIAutomate repetitive information flows, reports and approvals.
AI Agents / Workflow AutomationSafeGuard can analyse approved CCTV feeds for defined PPE and safety exceptions.
Document Intelligence helps organise and retrieve information from manuals, reports and enterprise documents.
Tensor Fleet can support distributed service fleets, utilisation and operational visibility.
AI HRMS can support employee information and repetitive workforce workflows.
Custom AI can be developed around specific asset, field or enterprise requirements.
Explore the connected workflow →
AI uses only approved organisational information.
High-impact operational decisions remain with responsible teams.
Connections to critical and enterprise systems are introduced through defined interfaces.
Information and workflows can remain auditable where required.
Use cases can be deployed according to risk, system criticality and infrastructure requirements.
AI should complement, rather than become an uncontrolled dependency within, critical operations.

Energy operations frequently involve restricted environments, heavy equipment and field personnel.
Where approved CCTV infrastructure already exists, SafeGuard can add computer-vision monitoring for defined PPE and safety conditions.
Explore SafeGuard