CuriOS Global guides investors and industrial groups through every stage of an AI datacenter project — from strategic planning and site selection through to supplier engagement, commercial agreements, and full construction execution.
CuriOS Global is a specialized advisory and construction management firm focused exclusively on AI Datacenter infrastructure. We bridge the gap between Indian real estate opportunity and world-class hyperscale compute infrastructure deployment.
Our principals bring direct, hands-on experience managing some of the largest AI cluster programmes in the world — across the United States and India — giving our clients unmatched insight into cost, timeline, and technical risk.
Over a decade of experience in infrastructure and manufacturing project design, with a specialized focus on AI datacenter infrastructure for the past five years. Nishat has managed large-scale programmes including a 100 MW Cortex AI cluster with Tesla and a 500 MW–1 GW+ AI cluster with Amazon Web Services across South Bend, Indiana (US) and Greater Mumbai, India — deploying NVIDIA H200, GB200, GB300, and Amazon Trainium chips.
Brings deep expertise in management consulting, project finance, and strategic advisory across renewable energy, real estate, and technology sectors. Naman leads our commercial feasibility work, providing rigorous IRR/NPV modelling, CAPEX/OPEX analysis, and financing strategy for Indian datacenter investors.
India is on the cusp of a datacenter supercycle driven by AI adoption, digital infrastructure policy, and surging enterprise cloud demand — creating a generational window for forward-thinking investors.
India's AI and cloud market is projected to grow at a CAGR of 35%+ through 2030. Domestic GPU compute capacity is severely supply-constrained, creating immediate monetisation potential for new datacenter entrants.
Existing industrial zoning, power substations, and land parcels around Pune, Mumbai, and Bhiwandi can be re-purposed into Tier III / Tier IV datacenter facilities — dramatically compressing time-to-revenue versus greenfield builds.
Maharashtra's grid expansion, dedicated industrial feeders, and DG/UPS backup capacity create viable pathways to 5 MW–100 MW+ facility power delivery — a prerequisite for hyperscale AI compute.
India's National Data Centre Policy, IT/ITeS incentives, and state-level subsidies from Maharashtra, Karnataka, and Telangana offer significant CAPEX relief and fast-track approvals for qualifying datacenter investments.
AI compute leasing, co-location, and GPU-as-a-Service models deliver IRRs significantly above traditional real estate — with capital payback windows of 5–8 years depending on build strategy and tenancy structure.
Proximity to submarine cable landing stations, NIXI exchange points, and metro fibre rings across Mumbai and Pune provide the low-latency connectivity backbone essential for enterprise AI workloads.
Strong industrial zoning, existing IT corridor, power grid access, and proximity to Mumbai — ideal for mid-scale AI datacenter development on industrial land assets.
India's financial capital with submarine cable landings, enterprise demand density, and active AWS / hyperscaler operations — proven market for AI compute co-location.
Emerging as India's datacentre hub — large land parcels, competitive power tariffs, dedicated industrial power, and strong logistics connectivity to Mumbai.
We support investors and industrial groups at every stage of the AI datacenter journey — from early-stage planning through to operational handover. Each engagement is tailored to your asset, ambition, and timeline.