Eliot
LDCS
Residential
Commercial
Hospitality
Industrials
data center solutions
Containment systems with integrated cooling mechanisms to regulate temperature
Containment systems with integrated cooling mechanisms to regulate temperature
Range of accessories to enrich your living environment with enhanced IoT - based user
A comprehensive portfolio delivering reliable protection, intelligent control, and efficient power distribution
Engineered electrical infrastructure solutions across industries and applications.
Protection against voltage surges
Enhanced electrical safety solutions
Built-in overload safeguarding
Sensitive leakage fault detection
Reliable protection, monitoring, and control solutions for complex electrical systems
Integrated with measurement control unit for optimum safety and energy control
Active eye on the consumption level to make infrastructures energy-positive
Circuit breakers up to 1600 A that provide optimal continuity and compatibility with various configurations
Resolving challenges consumer centric approach, unrivalled depth in over 300,000 references of products & solutions
Navi Mumbai, India
Thrissur, Kerala
Nagercoil, Tamil Nadu
Kizhakkambalam, Kerala
Hyderabad, Telangana
Stories about future-ready solutions, sculpted with customer-focused objectives
India’s AI infrastructure story is accelerating at an unprecedented pace. The country’s data centre capacity is expected to cross 4 GW in the coming years, driven by hyperscale expansion, cloud adoption, and the rapid rise of AI-led workloads. Enterprises across sectors are investing heavily in AI-ready infrastructure to support real-time analytics, automation, and high-performance computing environments
Data Centers are no longer scaling in predictable ways
The data center industry is entering a different phase of growth. AI workloads, accelerated computing, and high-density environments are changing infrastructure assumptions faster than traditional design cycles can adapt. Rack densities crossing 100 kW are becoming increasingly common, while advanced AI clusters are already planning for 300–500 kW deployments.
A few years ago, building for the cloud was relatively straightforward. You picked a provider, scaled as needed, and optimized along the way. That simplicity is gone. In 2026, AI has changed the rules. Not just for software but for the infrastructure behind it. What used to be a single decision is now a series of trade-offs. Training versus inference. Cost versus performance. Speed versus control. And increasingly, one environment is not enough. The result is a fragmented ecosystem of AI infrastructure models, each solving a different part of the problem. And that shift is quietly redefining how data centers need to be designed.
Promoting development via rigorous R&D in electrical & digital infrastructure, with a focus on enhancing
efficiency & robustness
