Recover Peak Energy Costs
Overview: Energy sourcing during peak tariff hours is not aligned with the lowest available cost sources.
Reasoning
- Peak tariff is applied daily between 18:00-22.00 when grid energy cost is highest.
- The plant has 6.2 MW of lower-cost energy capacity available during this window from solar and internal generation sources.
- Actual utilization during peak hours averages only 3.9 MW, leaving 2.3 MW of available capacity unused.
- The Al model continuously learns real source availability, dispatch constraints, and demand behavior from interval-level data. Across 11 of the last 12 billing cycles, the same under-utilization pattern was observed during peak hours, confirming a repeatable and controllable energy sourcing gap rather than a one-time operational event.
Core Capabilities
How Greenovative transforms raw signals into verified operational value.
Universal Ingestion
Captures signals from diverse industrial protocols, legacy systems, and digital layers to build a continuous, real-time data pipeline without hardware retrofits.
Universal Repository
Organises disparate data streams into a time-aligned, unified energy graph that connects consumption, production and cost for accurate enterprise-wide analytics.
Contextual AI
Applies domain-specific models trained on industrial energy behaviour and operational constraints to generate recommendations that are accurate, actionable and impact-focused.
Closed-Loop Governance
Orchestrates the full action lifecycle by assigning tasks, tracking execution and verifying outcomes so every identified opportunity converts into measurable value.
Key Features
Context-Aware Anomaly Engine
Context-Aware Anomaly Engine
Filters noise by learning your production patterns to distinguish real waste from necessary load spikes.
Dynamic Fine-Tuning Layer
Dynamic Fine-Tuning Layer
Continuously adapts to your changing reality by ingesting feedback, shift updates, and process rules to refine accuracy.
Prescriptive Action Interface
Prescriptive Action Interface
Converts data into clear work orders with built-in context, guiding operators on exactly how to resolve issues.
Unified Digital Twin & SLD
Unified Digital Twin & SLD
Maps the live energy flow from source to consumption, allowing instant root-cause tracing across the facility.
Impact & ROI Engine
Impact & ROI Engine
Validates performance by tracking "Potential" vs. "Realized" savings in real-time for every recommendation.
Scenario Simulation Studio
Scenario Simulation Studio
Predicts the financial impact of operational changes like new tariffs or shift patterns before you commit resources.
Impact That Improves the How and the What
Before Greenovative
Constant firefighting
Scattered systems, fragmented answers
Decisions based on gut & experience
Inefficiencies you can’t see
Fixes that don’t last
With Greenovative
Predictive, ahead-of-time control
One unified operational view
Decisions guided by prescriptive intelligence
Savings verified and proven
Improvements that sustain themselves
15–20%
energy cost reduction
10–15%
increase in capex utilisation
15–20%
reduction in CO₂ emissions
< 12
months ROI per site
The Intelligence Layer
Fine Tuning Layer
Customer - Specific Adaption
Asset-level load rules
Production shifts and priorities
Compliance thresholds
Performance limits
Ops & Maintenance history
Base AI Model
Core Intelligence Engine
1,000+ TB of industrial dataset
2,000+ KPI signatures
Parametized algorithms
200+ plants benchmarked across industries
AI Action Interface
Prescriptive Intelligence Layer
Diagnose inefficiencies
Identify opportunities
Prescriptive actions
Cost + carbon impact estimates
Methodologies for action
Built for Scale. Proven in the Real World.
Engineered to handle industrial workloads with reliability, speed and consistency.
Massive Data Throughput
1 Billion+ data streams processed every hour
Global Energy Scale
500+ GWh and growing processed across industrial plants
Precision Accuracy
90%+ recommendation accuracy validated in operations
Adoption by Industry Leaders
#1 platform adopted by 20% of top-10 enterprises across key industrial sectors
Zero-Trust Architecture with encrypted data flows and fully audited access.
Zero-Trust by Design
Every request is authenticated and verified. No implicit trust in any layer.
Encrypted Everywhere
Data encrypted in transit and at rest with strict role-based access controls.
Certified & Compliant
Aligned with ISO 27001, CREST/CERT-IN requirements and regular VAPT practices.
Redundant & Resilient
Secure cloud deployment with redundancy, failover and continuous monitoring.
Case Studies
Asset Efficiency
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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Enterprise Benchmark
Optimising Global Cross-Factory Production Through Energy Intelligence
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Renewable Efficiency
Protecting Renewable ROI at Enterprise Scale
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Unit Economics
Stabilising Energy Intensity in Continuous Textile Manufacturing
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Key Questions We’re
asked most often
Greenovative connects directly to SCADA, PLC, BMS, IoT gateways, ERP, and utility data sources using universal industrial connectors. It ingests data without altering your existing control systems and builds a unified operational layer on top of them.
No. The platform is OEM-agnostic and works with your current infrastructure. In most cases, it leverages existing meters and systems, requiring no production disruption or hardware replacement.
The platform uses pre-trained industrial models and continuously fine-tunes them using your operational, commercial, asset, and production context. It learns your load behaviour, constraints, performance baselines, and business priorities to ensure every recommendation reflects real-world plant conditions not generic assumptions.
Each recommendation is issued with contextual instructions and assigned through a closed-loop workflow. The platform tracks execution and validates savings by comparing baseline performance with post-action results.
Greenovative standardises KPIs across facilities and creates a unified enterprise energy graph. This allows cross-site benchmarking, consistent governance, and replication of best-performing strategies across locations.
The platform follows a zero-trust architecture with encryption in transit and at rest. Role-based access, full audit trails, and continuous monitoring ensure secure and controlled enterprise-wide deployment.