CARBON-ZERO AI

Gujarat Metro has no unified digital identity for energy management — disconnected BMS controllers with no centralized monitoring or AI optimization.

CARBON-ZERO AI presents a unified platform — AI-powered optimization, zero hardware, 30% carbon reduction, and a free 60-day pilot.

A single branded entry point positions Gujarat Metro as India's first AI-optimized metro system.

No role-based digital access control for station managers, engineers, and administrators.

Secure role-based login with MFA — Admin, Station Manager, Engineer, and Viewer roles with AES-256 encryption.

Complete access audit trail with role-based permissions — station managers see their stations, admins get fleet-wide visibility.

Zero consolidated view of energy operations — no real-time consumption data, no station comparisons, no savings tracking.

Live KPIs: today's consumption (35,000 kWh vs 50,000 baseline), monthly savings per station (Rs.1.72L), CO2 reduction, and station status table.

Instant operational visibility across all 32 stations — real-time savings data from a single dashboard without manual reports.

Metro stations waste up to 40% of energy daily — HVAC at full speed 18+ hours, lighting at 100% with no passengers, escalators running continuously.

Visual breakdown of energy waste across HVAC, lighting, escalators, and peak demand — with real data quantifying waste per system.

Clear problem visualization enables data-driven decisions — stakeholders immediately understand the scale of waste (40% daily).

BMS systems follow fixed schedules with no real-time intelligence — running at 100% capacity regardless of actual need.

3-step AI process: READ sensor data, DECIDE optimal settings, COMMAND existing BMS. 5 real-time decision scenarios demonstrated.

Pure software replaces fixed schedules with real-time intelligence — no hardware, station staff retain full override capability.

No mechanism to track, measure, or reduce carbon footprint — with India committed to net-zero by 2070 and Railways by 2030.

Per-station dashboard: electricity 50,000→35,000 kWh, CO2 35→24.5 tonnes, cost Rs.5,00,000→Rs.3,27,500 monthly.

4,032 tonnes CO2 saved annually = planting ~1,80,000 trees = removing ~870 cars from roads.

Gujarat Metro spends Rs.5,00,000 per station per month on electricity with no visibility into waste.

AI reduces per-station cost to Rs.3,27,500 — saving Rs.1,72,500/month. Annual savings across 32 stations: Rs.6.6 Crore.

Rs.55,20,000 monthly, Rs.6.6 Crore annually, Rs.33+ Crore over 5 years plus carbon credit revenue.

AI building energy optimization is a multi-billion dollar industry — BrainBox AI, Carbon Lighthouse, Bueno Analytics all deliver 20-40% savings globally.

None operate in India. CARBON-ZERO AI brings this proven technology to Gujarat Metro as India's first AI-optimized metro system.

First-mover advantage positions MEGA as a national benchmark in India's net-zero railway mission.

Metro authorities need clarity on timelines, risk mitigation, and phased rollout before committing.

5-phase plan: simulation → MVP → free pilot (60 days) → full 32-station deployment → national scale.

Phase 3 (free pilot) provides real savings data at zero cost — Gujarat Metro only proceeds after verifying results.

Every metro in India — Delhi (300+), Mumbai (100+), Bangalore (60+), Chennai (50+) — has identical energy waste patterns.

Same AI platform scales to any BMS. Beyond metro: malls, government buildings, airports, hospitals — thousands of buildings.

Gujarat Metro's pilot success becomes the proof point for national scale across thousands of buildings.

Decision-makers need a risk-free way to evaluate before committing budget or resources.

Free 60-day pilot on 2 stations. Zero cost. Zero hardware. Software connects to existing BMS and proves savings with real data.

No risk. Only upside. Gujarat Metro gets verified savings data before making any commitment.