Automotive Giant Leverages AI and AR for Sustainable Quality Improvements

Automotive Giant Leverages AI and AR for Sustainable Quality Improvements

In a significant move towards sustainable manufacturing, a leading automotive company is harnessing the power of artificial intelligence (AI), augmented reality (AR), and 3D printing to enhance vehicle quality and reduce environmental impact. This initiative comes as the automotive industry faces increasing pressure to improve sustainability while maintaining high-quality standards.

The company’s strategy involves implementing AI-powered photographic inspections, 3D-printed tools, and AR-based training systems across its manufacturing facilities. These technological advancements are designed to address persistent quality issues that have affected financial performance and customer satisfaction in recent years.

One of the key innovations is the Mobile Artificial Intelligence Vision System (MAIVS), which uses smartphone cameras and AI to inspect parts and assemblies. This system has been implemented in about 20 plants globally, conducting over 60 million inspections last year. The results have been impressive, with one plant reporting a significant reduction in defects, from an average of 35 per month to zero within just a few months of implementation.

Additionally, the company is leveraging 3D printing technology to create custom tools that improve efficiency and consistency in the manufacturing process. This rapid prototyping capability allows workers to collaborate with engineers to design and implement new tools within hours, dramatically reducing waste and improving ergonomics on the production line.

Technologies Used:

  • Mobile Artificial Intelligence Vision System (MAIVS): AI-powered inspection system using smartphone cameras to detect defects in parts and assemblies.
  • 3D Printing: Additive manufacturing technology used to create custom tools and organize parts, improving efficiency and reducing waste.
  • Augmented Reality (AR) Training: Microsoft HoloLens headsets used to provide immersive, step-by-step training for complex manufacturing tasks.

Companies Involved:

  • Ford Motor Co.: The automotive manufacturer implementing these advanced technologies across its production facilities.
  • Microsoft: Provider of the HoloLens AR technology used in training programs.

Sustainability Focus:

  • Waste Reduction: AI-powered inspections and 3D-printed tools help identify and prevent defects earlier, reducing material waste and improving resource efficiency.
  • Energy Efficiency: Improved manufacturing processes and quality control lead to fewer reworks and more efficient production, potentially reducing energy consumption.
  • Worker Well-being: Ergonomic improvements from custom 3D-printed tools and AR-assisted training enhance worker safety and comfort.

SDGs Impacted:

  • SDG 9 (Industry, Innovation and Infrastructure): Implementation of cutting-edge technologies to foster sustainable industrialization and promote innovation in manufacturing.
  • SDG 12 (Responsible Consumption and Production): Improved quality control and efficiency leading to more sustainable production practices and reduced waste.
  • SDG 8 (Decent Work and Economic Growth): Enhanced worker training and ergonomics contributing to improved working conditions and productivity.

Geographic Focus: Global

Industry Focus: Automotive

Source: TechXplore

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AI-Driven Fast Fashion – Balancing Innovation and Sustainability Challenges

AI-Driven Fast Fashion – Balancing Innovation and Sustainability Challenges

The fast fashion industry is undergoing a significant transformation, driven by artificial intelligence (AI) and machine learning technologies. These advancements are revolutionizing supply chains, demand prediction, and manufacturing processes, enabling unprecedented speed and efficiency in clothing production. However, this rapid growth is raising serious concerns about the environmental impact and sustainability of the industry.

Recent reports indicate that some fast fashion giants have nearly doubled their carbon emissions in 2023, making them the biggest polluters in the industry. This surge in emissions is largely attributed to the adoption of AI-driven business models that prioritize speed and volume over sustainability. The use of proprietary machine-learning applications to measure customer preferences in real-time and predict demand has led to ultra-fast supply chains and increased production rates.

While companies pledge to reduce their carbon dioxide emissions and achieve net-zero targets, climate advocates and researchers argue that the current business model is inherently emissions-heavy. The use of AI to catalyze these operations could be further increasing emissions. The challenge lies in balancing the benefits of AI-driven efficiency with the need for sustainable practices in the fashion industry.

Despite claims that AI helps reduce waste by enabling more accurate demand prediction and smaller production runs, the overall environmental impact of fast fashion remains significant. Issues such as textile waste, microplastic pollution, and exploitative labor practices continue to plague the industry. The rapid turnover of styles and the emphasis on low-cost, disposable clothing contribute to a culture of overconsumption that is at odds with sustainability goals.

Technologies Used:

  • Machine Learning Algorithms: Used for real-time measurement of customer preferences and demand prediction, enabling ultra-fast supply chain responses.
  • AI-Driven Supply Chain Management: Proprietary software platforms that provide suppliers with real-time updates on customer preferences, allowing for rapid production adjustments.
  • Data Analytics: Advanced analytics tools used to identify micro-trends and inform design and production decisions.

Companies Involved:

  • Shein: A fast fashion giant utilizing AI-driven technologies to optimize its supply chain and predict consumer demand.
  • Temu: Another rapidly rising e-commerce platform competing in the ultra-fast fashion market with AI-driven operations.

Sustainability Focus:

  • Carbon Emissions: The AI-driven fast fashion model has led to significant increases in carbon emissions, with some companies nearly doubling their emissions in a single year.
  • Resource Efficiency: While AI is used to reduce inventory waste through better demand prediction, the overall environmental impact remains high due to increased production volumes and air shipping.
  • Textile Waste: Despite claims of reduced waste, the fast fashion model continues to contribute significantly to textile waste and microplastic pollution.
  • Labor Practices: Concerns persist about exploitative labor practices in the supply chain, with AI potentially intensifying pressure on workers to produce more at faster rates.

SDGs Impacted:

  • SDG 12 (Responsible Consumption and Production): The fast fashion model challenges sustainable consumption patterns and production practices.
  • SDG 13 (Climate Action): Increased carbon emissions from AI-driven fast fashion operations contribute to climate change.
  • SDG 8 (Decent Work and Economic Growth): Concerns about labor practices in the supply chain impact this goal.

Geographic Focus: Global

Industry Focus: Fashion, E-commerce, Retail

Source: Grist

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Allegro Energy Raises $17.5M to Scale Water-based RFBs for Sustainable Energy Storage

Allegro Energy Raises $17.5M to Scale Water-based RFBs for Sustainable Energy Storage

The energy storage sector is facing increasing pressure to support the transition to renewable energy, especially as global efforts to combat climate change escalate. Traditional battery technologies, such as lithium-ion batteries, present numerous challenges, including cost, safety concerns, flammability, and environmental impact. In particular, long-duration energy storage systems are critical to maintaining energy stability from renewable sources like solar and wind, which generate intermittent energy. Without efficient storage solutions, surplus energy is wasted, making the transition to a fully renewable energy grid much more difficult. Addressing these challenges is essential to enabling a sustainable energy future.

Allegro Energy, a Newcastle-based startup, is tackling these industry-wide issues with innovative technology that offers a clean, efficient, and scalable solution for renewable energy storage. The company has developed water-based Redox Flow Batteries (RFBs), which offer significant improvements over traditional energy storage methods. Allegro’s RFBs are non-flammable, non-corrosive, recyclable, and less expensive, making them safer and more sustainable than competing technologies. These features not only reduce the environmental impact of energy storage but also lower the cost of renewable energy solutions, paving the way for wider adoption.

Through a recent $17.5 million Series A round, Allegro Energy plans to accelerate its manufacturing capabilities and scale up its technology. The funds will support the construction of an 800 kWh pilot plant at Origin Energy’s Eraring site, with potential to develop a 60 MWh pilot plant and later build a gigafactory. This fundraising round was led by The Grantham Foundation, a US-based climate change philanthropic fund, with additional backing from Lightbank, Origin Energy, Melt Ventures, and Impact Ventures.

The development of Allegro’s energy storage technology could play a pivotal role in overcoming the current barriers to renewable energy adoption. By providing a reliable and affordable way to store energy, Allegro is not only contributing to the growth of clean energy but also supporting global efforts to mitigate climate change. Their solution is expected to have a transformative impact on the energy landscape, enabling a future where clean, renewable energy is the norm.

Source: Start-up Daily

Technologies Used:

  • Water-based Redox Flow Batteries (RFBs): Used for renewable energy storage; they are safer, more cost-effective, non-flammable, and recyclable compared to traditional batteries.
  • Supercapacitors: Enhances energy storage performance and safety, offering a clean, non-corrosive, and scalable solution for energy storage.

SDGs Impacted:

  • SDG 7 (Affordable and Clean Energy): Allegro’s technology enables the storage of renewable energy, helping to increase access to affordable, reliable, and clean energy.
  • SDG 9 (Industry, Innovation, and Infrastructure): By developing advanced energy storage technology, Allegro fosters innovation in industrial infrastructure that supports sustainable practices.
  • SDG 13 (Climate Action): Allegro’s energy storage solution facilitates a transition towards renewable energy, thereby reducing carbon emissions and supporting global climate action efforts.

Sustainability Focus:

  • Energy Storage and Climate Change: Allegro’s solution addresses the critical need for efficient and sustainable energy storage technologies to support the global shift towards renewable energy. By offering safer, recyclable, and cost-effective energy storage solutions, the company contributes directly to reducing carbon emissions and mitigating climate change impacts.
  • Resource Efficiency: Allegro’s non-toxic, water-based RFBs improve resource efficiency by reducing reliance on rare and hazardous materials commonly used in traditional batteries, enhancing the sustainability of energy storage systems.

Other Details:

  • Company: Allegro Energy
  • Industry: Utilities
  • Amount Raised: $17.5 million
  • Investment Round: Series A​
  • Geographic Focus: Australia

Key Investors:

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Retraced Raises €15M to Enhance Fashion Industry Traceability with Blockchain Technology

Retraced Raises €15M to Enhance Fashion Industry Traceability with Blockchain Technology

Investment Overview:

  • Amount Raised: €15 million ($16.6 million)
  • Investment Round: Series A
  • Company Name: Retraced
  • Industry: Fashion and Textile, Consumer Goods
  • Geography: Germany

Technologies Used:

  • Blockchain: Ensures a secure, immutable record of product origins and processes, enabling transparency in the fashion and textile supply chain.
  • Cloud-based Traceability Tool: Provides real-time tracking of apparel products from production to retail, helping brands improve supply chain visibility and sustainability practices.

ESG/Sustainability Issues Addressed:

  • Supply Chain Transparency: The platform empowers fashion brands to trace their products’ lifecycle, ensuring responsible sourcing, ethical labor practices, and reducing the environmental impact of their operations.
  • Waste Reduction: Helps brands meet new regulations in the EU requiring the collection and recycling of textiles, addressing the issue of waste in the fashion industry.

Relevant SDGs:

  • SDG 12 (Responsible Consumption and Production): Retraced’s traceability tool helps fashion companies manage resources efficiently, reduce waste, and promote sustainable production patterns.
  • SDG 9 (Industry, Innovation, and Infrastructure): By offering an innovative blockchain solution, Retraced supports resilient and transparent infrastructure in the fashion and textile industry.
  • SDG 8 (Decent Work and Economic Growth): The platform ensures ethical labor practices by improving supply chain transparency, which supports fair working conditions in manufacturing.

Investment Details:

The fashion and textile industry is under increasing pressure to address sustainability and ethical concerns, particularly in response to the environmental harm caused by fast fashion and opaque supply chains. The industry generates millions of tons of textile waste annually, with only a fraction being recycled. This waste often ends up in landfills or is incinerated, contributing to environmental degradation. Additionally, consumers and regulators are pushing for more transparency in how clothes are made, demanding that brands adhere to higher environmental, social, and governance (ESG) standards.

Retraced, a startup founded in 2019, aims to tackle these challenges with its blockchain- and cloud-based traceability platform. The platform allows apparel companies to track their products’ lifecycle from production to retail, providing detailed insights into the materials, processes, and people involved. By offering this level of transparency, Retraced helps fashion brands ensure responsible sourcing, reduce waste, and comply with new EU regulations that require textile companies to recycle more of their products.

The €15 million raised in a Series A funding round led by Partech will allow Retraced to expand its platform internationally and continue improving its technology. Other participants in the round include Alante Capital, Alstin Capital, Samaipata, and F-Log Ventures. With growing support from the fashion industry, including partnerships with brands like Marc O’Polo and S. Oliver Group, Retraced is well-positioned to help apparel companies meet their sustainability goals and build stronger relationships with their suppliers and customers.

Investors:


Source: Securing Industry

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Building Resilient Automotive Systems with AI-Powered Cybersecurity

Building Resilient Automotive Systems with AI-Powered Cybersecurity

The automotive industry is undergoing a transformation as vehicles become more connected and autonomous. However, this technological progress also brings significant cybersecurity challenges. As vehicles integrate smart features, they become vulnerable to cyberattacks that threaten both safety and data privacy. In 2021, a Tesla Model S was remotely hacked, highlighting the risks as cars gain multiple digital entry points. With vehicles increasingly dependent on connectivity, the threat landscape is expanding, making it crucial to address these vulnerabilities.

Callisto Technology, a China-based company founded by Baidu veterans, is at the forefront of tackling automotive cybersecurity challenges. Leveraging advanced artificial intelligence (AI), Callisto has developed a proactive, evolving system that continuously monitors and mitigates cyber threats in real-time. This approach shifts away from traditional in-car antivirus software, focusing instead on cloud-based AI and big data solutions that provide broader and more effective protection. Callisto’s AI-powered vehicle security operations center (VSOC) platform is designed to detect and prevent cyber threats by analyzing millions of vehicle data logs.

AI plays a pivotal role in identifying patterns, recognizing threats, and reducing false alarms—an issue common in traditional systems. For example, a family frequently opening and closing car doors may trigger unnecessary alerts, but Callisto’s AI system can distinguish normal behavior from real risks. Moreover, AI helps automakers comply with safety regulations across different regions by automating data analysis and ensuring vehicles remain secure throughout their lifecycle.

By addressing these challenges, Callisto is contributing to the broader sustainability of the automotive industry. Its solutions align with global efforts to build safer, more sustainable urban transport systems. Callisto’s focus on AI-driven cybersecurity not only protects drivers but also ensures the resilience of connected vehicle networks, paving the way for the future of autonomous transportation.

Source: Kr-Asia

Technologies Used:

  • Artificial Intelligence (AI): Central to Callisto’s system, AI continuously evolves to identify and protect vehicles from cyber threats by analyzing vast amounts of data in real-time.
  • Big Data: Used to monitor and assess millions of logs and vehicle data points for security risks and anomalies.
  • Cloud Computing: Enables Callisto’s cloud-native security solutions to monitor threats across a wide network of vehicles in real time.

Companies Involved:

  • Callisto Technology: A China-based company leading in automotive cybersecurity through AI and cloud-based systems, founded by Baidu veterans. The company’s focus is on creating proactive and evolving security systems for vehicles, reducing risks from cyber threats.

SDGs Impacted:

  • SDG 9: Industry, Innovation, and Infrastructure: By developing AI-powered solutions for automotive cybersecurity, Callisto enhances safety in smart vehicle infrastructures.
  • SDG 11: Sustainable Cities and Communities: By addressing the cyber risks of connected vehicles, the initiative promotes safer, more sustainable urban mobility systems.
  • SDG 12: Responsible Consumption and Production: Through its focus on long-term cybersecurity for smart vehicles, Callisto promotes responsible innovation and sustainable lifecycle management of automotive technology.

Geographic Focus: China

Industry Focus: Automotive

Sustainability Focus:

  • Data Privacy and Security: Callisto addresses the increasing risk of data breaches in connected vehicles, ensuring that personal data and vehicle systems remain secure from unauthorized access.
  • Product Safety: By developing cybersecurity systems that evolve with emerging threats, Callisto enhances the overall safety of smart vehicles, a key concern in the adoption of autonomous driving technologies.

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How AI and Robotics Are Transforming Quick Service Restaurants for Sustainable Growth

How AI and Robotics Are Transforming Quick Service Restaurants for Sustainable Growth

The Quick Service Restaurant (QSR) industry is grappling with a variety of sustainability issues, including labor shortages, rising operational costs, and food waste. These challenges have been exacerbated by post-pandemic workforce shifts, with many potential employees preferring industries with more favorable working environments. As labor becomes more scarce and expensive, QSRs face difficulties in maintaining operational efficiency and food quality without cutting corners on safety or service.

Addressing these problems, emerging technologies like artificial intelligence (AI) and robotics are being integrated into foodservice operations to promote sustainability. Kitchen Robotics, through its Beastro solution, exemplifies how AI and robotics can reshape the restaurant industry. Beastro uses AI to personalize dishes and streamline processes such as cooking and cleaning. This automation reduces labor needs, which is crucial for industries struggling with staffing issues. It also minimizes food waste by precisely managing portions and monitoring food usage in real time. Additionally, Beastro ensures food safety by continuously controlling cooking temperatures and allergen management, which reduces human error and improves customer safety.

The role of AI extends beyond operational efficiencies. Data-driven insights generated by these systems enable restaurant owners to make better decisions regarding menu offerings, leading to consistent quality across multiple locations. These technologies are helping QSRs lower costs, improve guest experiences, and remain competitive in a rapidly changing market. As automation advances, it is likely that the QSR industry will continue to adopt more robotic solutions in both front-of-house (FOH) and back-of-house (BOH) operations, ensuring that food preparation is efficient, consistent, and environmentally friendly.

Source: Modern Restaurant Management

Technologies Used:

  • AI (Artificial Intelligence): Enables personalized dishes by analyzing customer preferences and streamlining the food preparation process.
  • Robotics: Used for automating kitchen tasks like cooking, cleaning, and monitoring food safety, reducing labor costs and food waste.
  • Data Analytics: Tracks food safety and operational metrics such as temperatures, allergen management, and waste reduction to optimize kitchen efficiency.

Companies Involved:

  • Kitchen Robotics: Developer of the Beastro solution, an AI-driven robotic kitchen that addresses key operational challenges such as labor shortages, food waste, and safety in QSRs.

SDGs Impacted:

  • SDG 8 (Decent Work and Economic Growth): Robotics and AI help mitigate labor shortages in the foodservice industry, creating opportunities for more efficient operations.
  • SDG 12 (Responsible Consumption and Production): The technology reduces food waste through precise portion control and customization, promoting more sustainable production practices.
  • SDG 9 (Industry, Innovation, and Infrastructure): AI and robotics foster innovation in the foodservice industry, driving automation and efficiency improvements.

Geographic Focus: Global

Industry Focus: Food and Beverage, QSR

Sustainability Focus:

  • Labor Shortages (Social): Robotics reduce dependency on human labor, addressing staffing issues and increasing efficiency in restaurant operations.
  • Food Waste (Environmental): AI and robotics enable better portion control and food safety monitoring, reducing waste and ensuring responsible consumption.
  • Food Safety (Governance): Continuous digital monitoring of food preparation ensures compliance with safety standards and minimizes human error.

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Wattnow Secures Multi-Million Dollar Funding to Drive IoT-Enabled Sustainable Energy Solutions

Wattnow Secures Multi-Million Dollar Funding to Drive IoT-Enabled Sustainable Energy Solutions

The energy sector is grappling with rising electricity demands and the urgent need to reduce carbon emissions in the face of climate change. As energy prices soar and governments impose stricter sustainability regulations, industries are compelled to rethink their energy management strategies. The challenge is finding efficient, scalable solutions that minimize waste, optimize energy usage, and reduce environmental impact without compromising productivity.

Wattnow, a climate tech startup founded in 2018, has positioned itself as a critical player in addressing these sustainability issues. The company’s innovative energy management platform integrates IoT-enabled hardware with AI-driven software to help businesses monitor and manage energy consumption in real time. By offering detailed analytics, predictive maintenance, and actionable insights, Wattnow enables its clients to optimize their energy use, lower operational costs, and significantly reduce their carbon footprint. The platform’s ease of integration and real-time monitoring make it highly attractive to a wide range of industries, from municipalities to oil and gas companies.

Wattnow’s technology addresses key sustainability issues, notably by reducing energy consumption and carbon emissions, thereby contributing to global climate action efforts. The use of IoT and AI in their platform ensures that energy inefficiencies are quickly identified and rectified, allowing businesses to meet stringent sustainability goals. Furthermore, predictive maintenance features minimize downtime and costly repairs, creating operational efficiency while contributing to environmental sustainability.

The company’s recent multi-million dollar funding round, led by prominent investors such as Lateral Frontiers, 216 Capital, and Outlierz Ventures, will help drive global expansion and technological advancements. These investors, with a strong focus on technology and sustainability, provide not just financial backing but strategic expertise in scaling Wattnow’s solutions. This funding enables Wattnow to expand its presence in regions like Europe, the Middle East, and Africa, where the demand for energy management systems is on the rise.

Wattnow is well-positioned to drive positive change within the energy sector by using cutting-edge technology to address significant environmental and economic challenges. Their platform promotes sustainable practices, aligning with global efforts to combat climate change and creating a more efficient, eco-friendly future.

Source: Tech-ish.com

Technologies Used:

  • IoT (Internet of Things): Used to enable real-time monitoring of energy consumption and control systems.
  • AI (Artificial Intelligence) Analytics: Provides actionable insights and predictive maintenance for optimizing energy use and avoiding costly repairs.

SDGs Impacted:

  • SDG 7 (Affordable and Clean Energy): Wattnow’s platform optimizes energy usage, reduces consumption, and promotes cleaner energy management.
  • SDG 9 (Industry, Innovation, and Infrastructure): The company supports sustainable industrial processes by improving energy efficiency in diverse sectors like manufacturing and construction.
  • SDG 13 (Climate Action): By reducing carbon emissions through better energy management, Wattnow directly addresses climate change mitigation.

Sustainability Focus:

  • Energy Efficiency: Wattnow’s technology reduces energy waste and optimizes consumption, addressing the growing need for efficient energy use as global electricity demand rises.
  • Carbon Emissions: By enabling businesses to lower their energy usage, Wattnow’s platform significantly contributes to carbon reduction, a key factor in fighting climate change.

Other Details:

  • Company: Wattnow
  • Industry: Utilities
  • Amount Raised: Multi-million dollar funding round (exact figure not provided)
  • Type/Round of Investment: Not specified
  • Geographic Focus: Africa, Europe

Key Investors:

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Enhancing Food Safety with AI and IoT Technologies Amid Growing U.S. Imports

Enhancing Food Safety with AI and IoT Technologies Amid Growing U.S. Imports

The food and beverage industry faces numerous sustainability challenges, particularly in the context of supply chain safety and reliability. Global food supply chains are increasingly vulnerable to disruptions caused by human error, handling issues, and fluctuating environmental conditions. As food imports into the U.S. are set to reach record levels in 2024, ensuring the safety and freshness of products is critical. These challenges are compounded by new food safety regulations, such as the Food Safety Modernization Act (FSMA 204), which will be enforced in 2026 to identify and eliminate contaminated food from the market faster. The growing complexity of supply chains, along with tightening regulations, places significant pressure on the food industry to innovate and improve traceability and safety.

Technology is emerging as a key solution to address these challenges. Companies like Wiliot are deploying cutting-edge ambient IoT, machine learning, and AI technologies to revolutionize food supply chain monitoring. Wiliot’s ambient IoT tags, which can be attached to products, generate real-time data on conditions such as temperature and movement as they travel through the supply chain. This data is processed in the cloud, and machine learning algorithms analyze it to detect potential safety issues, such as spoilage or improper handling.

Wiliot’s WiliBot, an AI-driven chatbot, allows supply chain stakeholders to ask questions about product conditions and receive insights on whether an item is safe to stock or ship. These technologies are designed to comply with FSMA 204 regulations, which require stringent traceability of food products. Wiliot’s recent partnership with iFoodDS and Trustwell aims to help retailers and producers navigate these regulations and improve overall food safety.

By connecting the digital and physical worlds, Wiliot’s innovations are enhancing the sustainability of food supply chains, minimizing food waste, and ensuring that consumers receive fresh, safe products. The initiative not only addresses regulatory demands but also contributes to broader sustainability goals, such as reducing hunger and promoting responsible consumption.

Source: Freight Waves

Technologies Used:

  • Ambient IoT: Wiliot’s ambient IoT tags enable real-time tracking of products throughout the supply chain, monitoring temperature changes and movements.
  • Large Language Models (LLMs): These AI programs allow Wiliot’s chatbot to interact with users, answering questions about the safety and freshness of products.
  • Machine Learning: ML algorithms analyze sensor data from the IoT tags to detect patterns and alert stakeholders to potential issues in the supply chain.
  • Generative AI: Powers Wiliot’s WiliBot to provide insights on supply chain events and assist in decision-making, such as determining the safety of food products.

Companies Involved:

  • Wiliot: Developer of ambient IoT technology and AI-based chatbot WiliBot, responsible for integrating IoT and AI for real-time food supply chain monitoring.
  • iFoodDS: Partner in the safety initiative, providing food safety solutions to help retailers and producers ensure compliance with food safety regulations.
  • Trustwell: Another partner in the food safety initiative, specializing in traceability and food safety compliance solutions to support FSMA 204.

SDGs Impacted:

  • SDG 2: Zero Hunger: By improving the traceability and safety of food, this initiative helps ensure that safe and nutritious food reaches consumers, reducing the risks of food contamination and wastage.
  • SDG 9: Industry, Innovation, and Infrastructure: Wiliot’s deployment of ambient IoT and AI technologies fosters innovation in supply chain management, improving the infrastructure for food safety and quality monitoring.
  • SDG 12: Responsible Consumption and Production: This initiative contributes to more sustainable food supply chains by enhancing transparency and reducing food waste through better monitoring of product conditions.

Geographic Focus: United States, Mexico

Industry Focus: Food and Beverage, Transportation and Logistics

Sustainability Focus:

  • Food Safety and Traceability: The initiative addresses the need for safer food supply chains, reducing contamination risks and ensuring compliance with new regulatory standards such as FSMA 204.
  • Supply Chain Resilience: The use of real-time IoT data and AI helps improve the resilience of food supply chains by minimizing human error and detecting issues earlier, ensuring continuous supply and reducing waste.

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This web site is developed and maintained by ESG Intelligence Private Limited (hereinafter ‘Company’). The use of this website is at the sole risk of the user.

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Portions of the content presented on this website have been generated using advanced artificial intelligence tools, including but not limited to ChatGPT, Bing, and other generative AI models. While the Company strives for accuracy and relevance, the nature of AI-generated content means that it may occasionally contain inaccuracies, omissions, or may not always reflect the most current information. The Company recommends users to exercise discretion, and cross-reference information from other sources when making decisions based on the content provided on this Website.  The Company will not be responsible for any decisions made based on information provided on this Website. 

The Company makes no representations or warranty whatsoever about any other web site which you may access through this one or third party content.  The Company shall not be responsible for and assumes no liability for any mistakes, misstatements of law, defamation, omissions, falsehood, obscenity, pornography or profanity in the statements, opinions, representations or any other form of content contained in any third-party content appearing on the website. You understand that the information and opinions in the third-party content on this website represent solely the thoughts of the author and is neither endorsed by the Company nor does it reflect the beliefs of the Company. When you access any website, please understand that it is independent from the Company, and the Company has no control over the content on that website. In addition, a link to any other web site does not mean that the Company endorses or accepts any responsibility for the content, or use, of such web site. It is up to you to take precautions to ensure that whatever you select for your use is free of such items as viruses, worms and other items of destructive nature. The Company hereby expressly disclaims any liability and claims against, any information, materials, products or services posted or offered at any of the third party sites linked to this website.

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How IoT-Based Energy Monitoring Transforms Sustainability in High-Energy Industries

How IoT-Based Energy Monitoring Transforms Sustainability in High-Energy Industries

Industries like life sciences, food services, and hospitality face critical sustainability challenges due to their energy-intensive operations. Fast food restaurants, convenience stores, and labs, for instance, consume nearly three times more energy per square foot compared to typical commercial buildings. The rising energy demand places immense pressure on these industries to reduce their energy footprints while maintaining operational efficiency.

Technology has emerged as a key enabler in addressing these challenges. MachineQ, a Comcast Company, has developed an innovative IoT-based power monitoring solution that empowers enterprises to monitor and manage their energy consumption. The system, which uses IoT devices such as the MQpower CT and MQpower SP, provides real-time data on energy usage at the equipment and breaker level. By offering insights into energy consumption patterns, the system allows businesses to optimize asset utilization, reduce unnecessary energy usage, and even detect equipment anomalies before they escalate into major issues.

This proactive approach not only helps companies reduce their operational costs but also contributes to sustainability goals. For example, laboratory managers can use data to determine if energy-intensive devices like centrifuges or freezers need maintenance, replacement, or more efficient utilization. This reduces waste and supports predictive maintenance, ensuring smooth operations without excessive energy use.

The solution integrates with smart metering capabilities to offer a comprehensive view of energy consumption across various assets and facilities. By leveraging IoT, the system also lowers the total cost of ownership by operating on a scalable infrastructure, thus helping industries make informed decisions about energy management.

Ultimately, these technologies play a crucial role in reducing energy use, driving sustainability, and promoting efficient operations across energy-intensive sectors.

Source: The Fast Mode

Technologies Used:

  • IoT (Internet of Things): Enables real-time energy monitoring and provides data for actionable insights to optimize energy use.

Companies Involved:

  • MachineQ (a Comcast Company): Provides the IoT-based power monitoring solution, including the MQpower CT and MQpower SP devices. The company focuses on developing scalable IoT infrastructures to enable energy monitoring and management.

SDGs Impacted:

  • SDG 7 (Affordable and Clean Energy): The solution helps enterprises reduce energy consumption, making energy use more efficient.
  • SDG 9 (Industry, Innovation, and Infrastructure): Promotes sustainable industrial practices by optimizing energy use and asset management.
  • SDG 13 (Climate Action): Reducing energy consumption and improving efficiency directly helps mitigate the environmental impact of high-energy industries.

Geographic Focus: Global

Industry Focus: Utilities

Sustainability Focus:

  • Energy Efficiency: The initiative helps reduce energy consumption in industries with high energy usage, thereby addressing the need for more sustainable energy practices.
  • Operational Efficiency: Through proactive maintenance and real-time monitoring, the solution ensures equipment is used efficiently, reducing downtime and unnecessary energy use.

Disclaimer

This web site is developed and maintained by ESG Intelligence Private Limited (hereinafter ‘Company’). The use of this website is at the sole risk of the user.

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Though all efforts have been made to ensure the accuracy and currency of the content on this website, the same should not be construed as a statement of law or used for any legal purposes or otherwise. The Company, its management and/or its employees hereby expressly disowns and repudiates any claims or liabilities (including but not limited to any third party claim or liability, of any nature, whatsoever) in relation to the accuracy, completeness, usefulness and real-time of any information and contents available at this website, and against any intended purposes (of any kind whatsoever) by use thereof, by the user/s (whether used by user/s directly or indirectly). Users are advised to verify/check any information and contents, with the relevant source(s) and obtain any appropriate professional advice, before acting thereon as may be provided, from time to time, in the website.

Portions of the content presented on this website have been generated using advanced artificial intelligence tools, including but not limited to ChatGPT, Bing, and other generative AI models. While the Company strives for accuracy and relevance, the nature of AI-generated content means that it may occasionally contain inaccuracies, omissions, or may not always reflect the most current information. The Company recommends users to exercise discretion, and cross-reference information from other sources when making decisions based on the content provided on this Website.  The Company will not be responsible for any decisions made based on information provided on this Website. 

The Company makes no representations or warranty whatsoever about any other web site which you may access through this one or third party content.  The Company shall not be responsible for and assumes no liability for any mistakes, misstatements of law, defamation, omissions, falsehood, obscenity, pornography or profanity in the statements, opinions, representations or any other form of content contained in any third-party content appearing on the website. You understand that the information and opinions in the third-party content on this website represent solely the thoughts of the author and is neither endorsed by the Company nor does it reflect the beliefs of the Company. When you access any website, please understand that it is independent from the Company, and the Company has no control over the content on that website. In addition, a link to any other web site does not mean that the Company endorses or accepts any responsibility for the content, or use, of such web site. It is up to you to take precautions to ensure that whatever you select for your use is free of such items as viruses, worms and other items of destructive nature. The Company hereby expressly disclaims any liability and claims against, any information, materials, products or services posted or offered at any of the third party sites linked to this website.

This website shall be governed by and construed in accordance with the applicable laws of India.

The Company exclusively reserves the rights, to change or modify or alter any of the policies available on this website (whether completely or partially), from time to time, at its discretion, without any objections, interruptions, grounds, claims or liabilities of any third party/users.

Mantel Raises $30M to Advance Molten Salt Carbon Capture Technology for Hard-to-Abate Industries

Mantel Raises $30M to Advance Molten Salt Carbon Capture Technology for Hard-to-Abate Industries

The industrial sector faces significant sustainability challenges, particularly in industries that are difficult to decarbonize, such as cement, steel, and chemicals. These industries produce large amounts of carbon emissions, contributing significantly to global greenhouse gas concentrations and climate change. Traditional carbon capture technologies have proven expensive and inefficient, limiting their widespread adoption. As industries strive to meet net-zero goals, there is a growing need for affordable and effective carbon capture solutions.

Mantel, a carbon capture startup based in Cambridge, Massachusetts, aims to tackle these challenges through its innovative molten salt-based carbon capture technology. Developed from research at MIT’s Department of Chemical Engineering, Mantel’s technology uses molten borate materials to capture CO2 at high-temperature emission sources such as boilers and furnaces. By recovering high-grade heat during the capture process, the system significantly reduces energy consumption and capture costs. Mantel claims its system can reduce carbon capture costs by more than 50% compared to conventional methods, making it an attractive solution for industries with high emissions.

The company’s technology has demonstrated lab-scale success, capturing half a tonne of CO2 per day. With a $30 million Series A funding round, led by Shell Ventures and Eni Next, Mantel is now scaling up its operations. The capital will fund the development of a demonstration project that will capture 1,800 tonnes of CO2 annually, advancing towards full-scale commercial deployment.

Mantel’s carbon capture solution addresses key sustainability goals, including SDG 13 (Climate Action) by reducing carbon emissions, SDG 9 (Industry, Innovation, and Infrastructure) by fostering sustainable industrial practices, and SDG 7 (Affordable and Clean Energy) by improving energy efficiency. By offering an affordable and scalable technology, Mantel has the potential to accelerate the transition to net-zero emissions across hard-to-abate sectors, making carbon capture more feasible for industrial companies worldwide.

Source: ESG Today

Technologies Used:

  • Molten Borate Materials: These materials operate at high temperatures, capturing CO2 at emission sources such as boilers and furnaces. They allow for cost-effective carbon capture by reducing energy required for the regeneration process.
  • High-Temperature Carbon Capture Systems: Mantel’s technology enables CO2 capture from industries emitting at high temperatures, offering more than a 50% cost reduction compared to conventional methods.

SDGs Impacted:

  • SDG 13 (Climate Action): By reducing industrial CO2 emissions, Mantel’s carbon capture technology directly contributes to the mitigation of climate change.
  • SDG 9 (Industry, Innovation, and Infrastructure): Mantel’s innovative approach supports the development of sustainable industrial infrastructure, essential for reducing emissions in hard-to-abate industries.
  • SDG 7 (Affordable and Clean Energy): The technology promotes energy efficiency by capturing heat during the process, supporting cleaner and more affordable energy use in industrial applications.

Sustainability Focus:

  • Carbon Emissions: Mantel’s solution targets carbon emissions from hard-to-abate industries, directly addressing the need to reduce greenhouse gas emissions and combat climate change.
  • Energy Efficiency: By capturing high-grade heat during the CO2 absorption process, Mantel’s technology improves energy efficiency, reducing the energy intensity associated with carbon capture.

Other Details:

  • Company: Mantel
  • Industry: Industrials
  • Amount Raised: $30 million
  • Investment Type/Round: Series A
  • Geographic Focus: USA

Key Investors:

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