Certified Startup
METAVERSE TECHNOLOGICAL INNOVATIONS PRIVATE LIMITED
Sector:
Energy Climate
Business Model:
B2G B2B B2C B2B B2G B2C
Industry:
Renewable Energy Waste Management
Technology:
Internet of Things (IoT) AI / ML Mobile Apps Internet of Things (IoT) Mobile Apps Security & Surveillance Technology
About
Incorporation Date
Sep 2, 2025
Incorporation Type
Private Limited Company
Registered State
Kerala
Registered District
Alappuzha
Registered Address
Krishnakripa, Eruva west, Pathiyoor, Pathiyoor, Alappuzha, Kerala
Office State
Kerala
Office District
Alappuzha
Office Address
METAVERSE TECHNOLOGICAL INNOVATIONS PRIVATE LIMITED 284/B, KRISHNAKRIPA, ERUVA WEST, Eruva, Karthikappally, Alappuzha- 690572, Kerala
Team
JAYAKRISHNAN VASUDEVA PANICKER
Co-founder
SUSMITHA JAYAKRISHNAN
Co-founder
KRISHNAJITH JAYAKRISHNAN
Founder
GridNova
AI-powered renewable energy system integrating solar, battery, and grid systems with predictive analytics and IoT monitoring. It enables weather-based forecasting, automated load optimization, battery health tracking, remote control, and intelligent switching to reduce costs, prevent disruptions, and maximize renewable energy efficiency for industrial and government applications.
Sector:
Energy
Industry:
Renewable Energy
Business Models:
B2G B2B B2C
Technology:
Internet of Things (IoT) AI / ML Mobile Apps

Our product is an AI-powered Renewable Energy Intelligence Platform designed to transform conventional solar installations into autonomous, self-optimizing energy ecosystems. It integrates solar generation systems, battery storage units, inverters, smart controllers, and grid connectivity into a unified intelligent infrastructure supported by proprietary software.
The platform combines real-time hardware integration with advanced predictive analytics to continuously monitor, analyze, and optimize energy generation, storage, and consumption. AI-driven weather forecasting models predict daily and hourly solar generation using real-time meteorological data and historical irradiance patterns, enabling accurate energy availability planning and proactive load management.
Predictive load management dynamically allocates and prioritizes electrical loads based on generation capacity, battery state-of-charge, operational schedules, and consumption behavior. Automated load control mechanisms prevent overload conditions, minimize battery drainage, and ensure uninterrupted operation of mission-critical systems.
An intelligent grid–solar–battery switching algorithm optimizes real-time energy routing to maximize renewable utilization while minimizing dependency on conventional grid power. By reducing fossil-fuel-based electricity consumption, the system directly contributes to carbon footprint reduction and measurable emission savings.

Battery health is continuously monitored at system and cell level, incorporating degradation analysis, lifecycle prediction, and preventive diagnostics to enhance reliability and extend operational lifespan. Predictive alerts and maintenance insights reduce unexpected failures and improve long-term energy resilience.
A centralized analytics dashboard integrates solar panels, inverters, batteries, and electrical loads into a unified intelligent control platform. Users can monitor performance metrics, analyze consumption trends, prioritize circuits, and remotely manage loads from any location.
The platform includes AI-based behavioral energy analytics that evaluate peak demand patterns, operational workflows, and seasonal performance variations. A self-learning optimization engine continuously refines load balancing and energy distribution strategies to improve efficiency over time.
In addition to operational optimization, the system provides sustainability analytics, including renewable energy utilization metrics, grid dependency reduction indicators, and carbon emission impact estimates. These insights support compliance with national green energy missions, environmental sustainability frameworks, and corporate ESG objectives.
Dynamic sunlight availability assessment, intelligent working-hours profiling, smart scheduling recommendations, and predictive generation-versus-demand alignment further ensure maximum renewable energy capture and minimal wastage.
Delivered as a complete renewable energy infrastructure solution, the platform combines engineered hardware deployment with scalable SaaS-enabled intelligence. It is designed for industries, commercial establishments, and government infrastructure seeking cost-efficient, reliable, and environmentally responsible energy management aligned with clean energy transition goals.

Meerkat
A portable, smart surveillance unit developed to combat illegal waste dumping through rapid deployment and discreet monitoring. Equipped with HD day-night recording, motion detection, license plate recognition, lithium battery operation, weather-resistant design, and secure cloud storage, it enables authorities to identify offenders and maintain cleaner, safer public environments efficiently.
Sector:
Climate
Industry:
Waste Management
Business Models:
B2B B2G B2C
Technology:
Internet of Things (IoT) Mobile Apps Security & Surveillance Technology

The Portable Smart Surveillance Unit is an advanced, mobile monitoring solution specifically designed to prevent illegal waste dumping and enhance public cleanliness and safety. Unlike conventional fixed CCTV systems, this unit can be deployed anywhere within minutes and relocated frequently, creating unpredictability that discourages offenders.
The system features a discreet, compact design that blends seamlessly into surrounding environments. Its unobtrusive appearance prevents individuals from easily identifying surveillance locations, reducing intentional avoidance and vandalism.
Equipped with high-definition cameras, the unit captures clear photo and video evidence both during the day and at night using infrared night vision technology. The footage is of evidence-grade quality, enabling authorities to clearly identify individuals and vehicles involved in illegal dumping. The integrated license plate recognition capability allows automatic reading and recording of vehicle number plates, strengthening enforcement and accountability.
The system operates using intelligent motion detection technology, recording only when movement is detected. This reduces unnecessary storage usage, optimizes battery life, and ensures that important incidents are captured efficiently. Real-time alerts can be sent to authorized officials, enabling immediate response and monitoring without continuous manual supervision.
Powered by a high-capacity lithium battery, the unit can operate independently in rural, remote, or undeveloped areas without direct access to electricity. It provides a minimum of 10 hours of continuous operation and can be extended through solar panel support when required. This makes it highly suitable for temporary deployments, roadside monitoring, and areas lacking infrastructure.
Built with a durable, weather-resistant housing, the unit functions reliably in rain, heat, dust, and varying outdoor conditions. Its rugged construction ensures consistent performance throughout the year, even in challenging environmental situations.
For data security and accessibility, the system supports secure storage, allowing authorized officials to access footage remotely via mobile devices or computers. Footage is protected from data loss due to device damage or tampering. Additionally, local storage and centralized control center backup options ensure redundancy and reliability.
GPS tracking functionality enables precise identification of deployment locations and operational history. The system can generate usage reports detailing where and how long the unit was deployed, supporting transparency and administrative documentation.
Anti-theft and tamper detection mechanisms trigger alerts if any attempt is made to damage or remove the device, ensuring protection of the equipment.
Overall, this portable surveillance solution is not merely a camera system but a strategic environmental enforcement tool. It empowers local authorities to respond quickly to complaints, identify offenders accurately, and maintain cleaner, healthier public spaces through smart, flexible, and technology-driven monitoring.

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