Trusted by 80+ Industry Leaders Globally
AI for Industrial Efficiency
and Enterprise Value
Prescriptive intelligence that pinpoints exactly where you’re losing energy and delivers specific actions to cut costs and improve efficiency
Trusted by 80+ Industry Leaders Globally
Credibility You Can Trust
Greenovative is an industrial energy intelligence company built for large, complex operations. We unify plant data and deliver prescriptive actions that improve efficiency and reduce cost across sites.
0+
Industrial deployments across 7 countries
0+TB
Industrial data used to train our AI models
0%
Enterprise customer retention
< 0 months
Months ROI, verified across enterprise deployments
The Real
Industry Problem
The Real
Industry Problem
Rising Cost
Energy and utilities form about 30% of operating spend. Treated as fixed overheads, they lack actionable visibility, blocking clear savings and a true profit lever.
Disconnected System
Data remains scattered in silos. Without an enterprise-wide view, leaders cannot compare plants, enforce standards, or drive consistent performance.
Hidden Risk
Without connected intelligence, Inefficiencies stay unseen. Small daily gaps accumulate into silent value loss across the enterprise.
Celebrating
Our Milestones
To our clients, past and present, we dedicate these awards to you. Your trust is our greatest honor and we remain committed to exceeding your expectations every step of the way.Thank you all for your belief in me. A special thanks to those who've trusted me repeatedly over the past 10 years
Solving Core
Efficiency Challenges
A quick look at how our AI addresses the most critical levers that impact cost and performance.
Minimise energy cost by prescribing the most efficient grid–solar–DG mix in real time. AI evaluates tariffs, availability, and load conditions to suggest the lowest-cost source combination.
Maximise renewable value by uncovering financial and operational gaps across your solar ecosystem. AI analyses utilisation behaviour, self-consumption ratios, export patterns, and loss points to prescribe actions that improve ROI.
Improve CAPEX effectiveness by aligning actual performance with design capacity. AI maps OEM specs, asset ratings, utilisation patterns, and operational behaviour to recommend operational tuning or load balancing that unlocks more value from your existing setup.
Reduce cost per unit by correlating energy intensity with production output. AI surfaces inefficiencies tied to shifts, processes, and line performance to improve unit economics.
Enforce consistent performance by benchmarking plants on a unified operational model. AI normalises baselines across raw material mix, product variants, shift behaviour, and utility patterns to highlight deviations and best practices.
Direct, Measurable Gains
For Every Facility.
Plant-level Impact
Enterprise-level Impact
Cost & ROI
- 12–15% reduction in energy costs.
- <12-month ROI.
Governance & Scale
- Unified governance through common KPIs.
- Rapid replication of proven strategies.
Operations
- 10–15% increase in capex utilization.
- Reduced production losses from utility faults.
Visibility
- Fleet-wide visibility across plants.
- Optimised CAPEX allocation using real data.
Sustainability
- 15–20% reduction in plant CO2 emissions.
- 10–12% improvement in resource efficiency.
Intelligence
- Scalable AI deployment with no retrofit.
- Continuous improvement at enterprise scale.
Plant-level Impact
Cost & ROI
- 12–15% reduction in energy costs.
- <12-month ROI.
Operations
- 10–15% increase in capex utilization.
- Reduced production losses from utility faults.
Sustainability
- 15–20% reduction in plant CO2 emissions.
- 10–12% improvement in resource efficiency.
Enterprise-level Impact
Governance & Scale
- Unified governance through common KPIs.
- Rapid replication of proven strategies.
Visibility
- Fleet-wide visibility across plants.
- Optimised CAPEX allocation using real data.
Intelligence
- Scalable AI deployment with no retrofit.
- Continuous improvement at enterprise scale.
We Are Energy-Specific
And Sector Agnostic
Built on the fundamentals of energy physics and system behaviour. Whether in heavy industry or utility infrastructure, our intelligence models deliver precision at scale.
For Industrial Operations
Optimise cost, utilisation, and process efficiency. Prescriptive intelligence that strengthens production-linked energy performance, reduces losses, and improves unit economics across plants.
For Data Center
Improve stability and balance within your energy ecosystem. Intelligence that aligns consumption patterns, source behaviour, and operational loads; ensuring reliable and efficient system performance.
For Complex Energy Setups
Optimise energy intensity, resilience, and infrastructure efficiency. Prescriptive intelligence that identifies hidden power and cooling inefficiencies, protects uptime, improves PUE performance, and unlocks measurable cost savings per MW deployed.
Listen From Our Clients
We expanded Greenovative platform to five more plants, leveraging its real-time energy intelligence to strengthen our production efficiency and decisions.
Mr. Dhruv Jain
Head - Digital(I4.0) and Analytics
After strong success in India, Jotun expanded platform across multiple Middle East sites, valuing its seamless optimization and expert support.
Mr. Talal Balbaid
Regional Maint. Manager, MEIA
Greenovative has helped us transform energy visibility across our cement operations, seamlessly integrating with our ERP to enable faster decisions and improved plant efficiency.
Mr Mohammed Kadar Meeran
AGM - IT
Greenovative’s EMS improved energy monitoring and resource use, driving cost savings and efficiency, with our LG Ranjangaon Plant recognized across the LG Group and industry.
Mr. Amit Bajaj
CIO - Pune Operations
Greenovative’s stable, intelligent platform streamlined our energy operations, delivering measurable efficiency gains, cost savings, and stronger sustainability in our textile business.
Mr. Gajraj Singh
HOD Electrical and Instrumentation
Greenovative’s technical support is prompt, reliable, and highly responsive, ensuring smooth operations and making them a trusted partner.
Mr. Kulbir Raizada
Assistant Manager - Electrical
Resources
- Blog
- Case study
Performance Governance
Leadership, Energy, and AI: From Intent to Governed Execution
Leaders define energy goals, but daily decisions decide outcomes. This blog explains how AI converts leadership intent into consistent energy…
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Energy Strategy
2025 Energy Reality Check for Indian Manufacturers
Read More
Energy Strategy
The Energy Opportunity Gap: Why Energy Deserves a Seat in the Boardroom Energy as a Strategic Lever, Not a Utility Bill
Read More
Performance Governance
Scaling Industrial AI for Enterprise-Wide Impact
Read More
Case Study
From Energy Monitoring to Prescriptive Action at Enterprise Scale
Client & Context A leading Indian automotive and industrial conglomerate with operations spanning SUVs, commercial vehicles, tractors, engines, farm equipment,…
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Case Study
Stabilising Energy Intensity in Continuous Textile Manufacturing
Read More
Case Study
Protecting Renewable ROI at Enterprise Scale
Read More
Case Study
Governing Power Dispatch Decisions at Scale
Read More
Key Questions We’re
asked most often
Most plants go live in just 2-3 weeks, as the platform integrates with existing SCADA, PLC, BMS, IoT, and utility data without requiring hardware changes or retrofits.
You start seeing visible savings within the first month. Early optimizations surface quickly, and the full impact typically stabilizes within 6–10 weeks as the AI adapts to your plant’s operating patterns.
The system uses sector-agnostic AI models trained on large industrial datasets and then fine-tunes them with your plant’s production, tariff, OEM, and shift data to deliver high-accuracy, plant-specific prescriptions.
Yes. The platform creates a unified enterprise energy layer, standardizing KPIs, enabling cross-site benchmarking, and ensuring consistent efficiency gains across all locations.
It continuously learns how your plant operates and identifies patterns that are not visible through manual reviews. By connecting energy, production, and cost data, the AI highlights inefficiencies early and converts them into clear, actionable recommendations.
Your data is secured through a zero-trust architecture with encryption applied in transit and at rest. Access is controlled through strict role-based permissions and fully audited activity logs. The platform aligns with ISO 27001 and CREST/CERT-IN requirements and undergoes regular VAPT assessments to ensure continuous security hardening. Redundant cloud infrastructure and automated monitoring further protect against failures and unauthorized access.