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Bold Awards

GreenMesh

GreenMesh optimizes urban resources with IoT/AI, helping cities meet ESG goals in energy, waste, and air quality.
Pres Home 16-9_nologo
GreenMesh is submitting the Widgelix platform – a robust, scalable IoT and AI solution aimed at transforming urban living by optimizing energy, waste, and environmental resources for smarter, greener cities. With cities globally facing infrastructure challenges and a growing demand for efficient resource management, Widgelix enables municipalities and businesses to take control of their environmental impact while reducing operational costs.

Project Highlights:

  1. Energy Management: Widgelix monitors and analyzes real-time data from buildings to reduce energy waste, achieving up to 30% savings on energy costs. Our predictive analytics forecasts consumption patterns, ensuring efficient resource allocation and helping clients align with ESG targets.
  2. Waste Management: By integrating data from waste bin sensors, Widgelix prevents container overfills and optimizes collection routes, reducing fuel costs and CO₂ emissions by up to 20%. This directly improves city traffic flow and minimizes labor costs.
  3. Air Quality Control: Widgelix analyzes indoor and outdoor air quality, automating ventilation and cooling systems based on occupancy and environmental data. In public spaces and offices, this reduces CO₂ emissions, creating healthier, more sustainable environments.
  4. Scalability and Reach: Currently deployed in several global projects, our platform supports clients in over 15 cities, with each solution customizable across multiple sectors. As the smart city market grows at a projected 20% annually, our solution can seamlessly scale from proof of concept to city-wide deployment.

With Widgelix, we are addressing the global push for smarter cities, providing technology that empowers users to achieve cost-effective, sustainable urban transformation.

    Projects evaluation criteria

    Level of Impact
    40%
    Scalability
    30%
    Transparency
    20%
    H-Factor
    10%

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