Smart Operations

We use analytics, AI & ML along with IoT to transform traditional facility management into intelligent, data-driven operations. Through the proprietary platform SmartSense, we deliver real-time visibility across critical assets, energy consumption and gives insights and recommendations for improving system performance and reducing carbon foot print.

Partnering with Ecolibrium Inc., SmartSense the AI based monitoring tool enables us to track, analyse, and optimise Power, Water, equipment health while improving overall system efficiency. While monitoring various assets and by identifying patterns and predicting faults before they occur, we help reduce downtime, improve efficiency, extend asset life and helps in Root Cause analysis.

The AI based tools deployed are trained models having use cases for various sectors.  Simultaneous monitoring of multiple sites, monitoring the facility health and capturing their carbon footprint becomes easy with Centralised dashboards and automated reporting.  While its other features like prioritising the alerts, predictive maintenance and long-term trend analysis help in empowering facility managers to make faster, smarter, and more sustainable decisions.

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Containerized Data Center (CDC): Built for outdoor installations, the CDC is engineered to withstand the elements. Waterproof, dust-proof, fire-proof, seismic-resistant, and anti-corrosive, this solution is designed to perform in even the most challenging environments, providing reliability wherever you need it.

What makes this even better? We design, manufacture, and deliver CDC solutions in-house, giving us complete control to create fully customised solutions tailored to your needs.

Industries We Serve

We deliver integrated solutions across diverse, high-growth sectors – enabling performance, scalability, and operational excellence.

 

Connected Factories

Data Centres

Telecom Towers

Retail Chains

Commercial Buildings

Large Campuses

Key Benefits

Customised Dashboards for site and central monitoring

Automated Reports for actionable insights

Predictive Maintenance enabled online in real-time

Improved Uptime & Lower PUE through system optimisation

Carbon Monitoring

Let’s Build the Future of Data Infrastructure

From concept to completion — our experts are here to guide you.

  • Defect Liability Period (DLP) [12 months] – bank guarantee, incident management, and transition to O&M.

  • Operations & Maintenance (O&M) [36-60 months] – Resource allocation, structured L1-L3 incident management, and long-term infrastructure optimization.
  • Contract Award – LoA issuance, detailed contract signing, branch/subsidiary formation, BG submission, and insurance processing.

  • Detailed Design & Engineering – Design validation, detailed engineering, software-based modeling, client approvals, regulatory compliance, value engineering & product optimization.

  • Procurement – Vendor evaluation, technical compliance checks, competitive global sourcing, vendor selection via reverse auction, and commercial negotiations.

  • Construction (Site Infra Build) – Civil work, substructure, superstructure, facades, fenestrations, and interiors.

  • MEP Implementation – Electrical, HVAC, ELV, fire fighting, plumbing, structured cabling.

  • Testing & Commissioning – Third-party agency appointment, script development, sequence of operation (SOO), L1-L5 testing, ISAT, and RFS (Ready for Service).
  • Marketing Activities [3 months] – Market identification, customer segmentation, enquiry sourcing, networking & events, referrals, and media outreach.

  • Pre-Bidding [1 month] – Client due diligence, commercial & financial terms, technical scope identification, risk analysis, migration strategy, PQ activities (client registration), go/no-go decision.

  • Bidding [1-2 months] – Contract evaluation, technical & execution strategy, value engineering, sourcing plans, project planning, pricing & bid proposal preparation.

  • Contract Negotiation [2 months] – Finalizing technical, commercial, and execution terms, contract duration, and client expectations.