Edgeliot Company Profile

Background

Overview

Edgeliot is an Irish technology company established in 2021, specializing in providing real-time, hyper-local monitoring of air quality and carbon emissions. The company aims to enhance environmental health and mitigate climate change through innovative sensor technologies and data analytics.

Mission and Vision

Edgeliot's mission is to be the global leader in delivering accurate air quality and carbon emissions data, enabling scientifically validated actions to improve air quality and reduce carbon footprints. This commitment seeks to enhance public health, lifestyle, and well-being, while also addressing the impacts of climate change on food supply, water resources, habitats, and extreme weather events.

Primary Area of Focus

The company's primary focus is on environmental monitoring, specifically targeting air quality and greenhouse gas emissions. By deploying advanced sensor networks and leveraging edge computing and artificial intelligence, Edgeliot provides comprehensive data to inform policy decisions and support climate change mitigation efforts.

Industry Significance

Edgeliot operates within the climate technology sector, contributing to the growing emphasis on environmental sustainability and data-driven solutions for climate change. Its innovative approach to real-time environmental monitoring positions the company as a significant player in the field, offering tools that are crucial for effective climate action and policy development.

Key Strategic Focus

Core Objectives

• Real-Time Environmental Monitoring: Deploying sensors to continuously monitor air quality and carbon emissions, providing immediate data for analysis and decision-making.

• Data-Driven Policy Support: Offering accurate and affordable data to assess the effectiveness of environmental policies and initiatives, enabling informed decisions to improve air quality and reduce greenhouse gas emissions.

• Climate Change Mitigation: Utilizing collected data to support actions that limit climate change and its adverse effects on ecosystems and human health.

Specific Areas of Specialization

• Sensor Technology: Designing and deploying advanced sensors capable of measuring various environmental parameters, including particulates, CO₂, methane, nitrous oxide, temperature, pressure, humidity, wind speed, and wind direction.

• Edge Computing and AI: Implementing edge computing algorithms and artificial intelligence to process data locally, ensuring real-time analysis and reducing latency.

• Data Visualization and Analysis: Providing scalable cloud-based platforms, such as Microsoft Azure, for secure data storage and real-time visualization, facilitating comprehensive environmental assessments.

Key Technologies Utilized

• Sensor Networks: Deploying modular sensor arrays to capture a wide range of environmental data.

• Edge Computing: Processing data at the sensor level to enable immediate analysis and response.

• Artificial Intelligence: Applying AI algorithms to detect anomalies and patterns in environmental data, enhancing predictive capabilities.

• Cloud Computing: Utilizing scalable cloud platforms for data storage, processing, and visualization, ensuring accessibility and security.

Primary Markets Targeted

• Urban Areas: Monitoring air quality and emissions in cities to inform urban planning and public health initiatives.

• Telecommunication Infrastructure: Providing environmental monitoring solutions for telecommunication towers to ensure structural integrity and operational efficiency.

• Environmental Research Institutions: Supplying accurate data for research on climate change and environmental health.

Financials and Funding

Funding History

Edgeliot was established as a spin-out from Dublin City University (DCU) in 2021, with initial support from DCU Invent, the university's innovation office. The company secured €250,000 in the first tranche of a €750,000 investment round, with plans to raise additional funds to support its growth and expansion.

Total Funds Raised

As of the latest available information, Edgeliot has raised €250,000 out of a planned €750,000 in its initial funding round. The company is actively seeking further investment to accelerate its development and market presence.

Notable Investors

The initial funding round included support from Dublin City University and DCU Invent. Edgeliot has also been recognized in the Telecom Council Innovation Showcase 2023, indicating interest from industry stakeholders.

Intended Utilization of Capital

The raised capital is intended to support the development and deployment of Edgeliot's sensor technologies, expansion of its data analytics capabilities, and scaling of operations to meet growing market demand.

Pipeline Development

Key Pipeline Candidates

Edgeliot's primary product is the mHalo sensor system, designed for real-time monitoring of environmental parameters. The company is also exploring the integration of additional sensors to enhance data collection capabilities.

Stages of Development

The mHalo system is currently in the trial phase, with deployments underway in collaboration with partners such as Cellnex Telecom. The company is also in advanced stages of commercial negotiations and deployment, having successfully raised the first tranche of funding for €250,000 of a first investment round of €750,000.

Target Conditions

The mHalo system targets the monitoring of air quality and carbon emissions, focusing on parameters such as particulates, CO₂, methane, nitrous oxide, temperature, pressure, humidity, wind speed, and wind direction.

Anticipated Milestones

Edgeliot aims to complete trials and begin scaling deployments across Europe, leveraging partnerships with telecommunication infrastructure providers to expand its market reach.

Technological Platform and Innovation

Proprietary Technologies

• mHalo Sensors: Advanced sensor units capable of measuring a wide range of environmental parameters in real-time.

• Edge AI Modules: Embedded artificial intelligence algorithms that process data locally, enabling immediate analysis and anomaly detection.

Significant Scientific Methods

• Anomaly Detection Algorithms: AI-driven algorithms designed to identify unusual patterns in environmental data, facilitating proactive responses to potential issues.

• Data Correlation Techniques: Methods that correlate environmental data with factors such as wind speed and direction to pinpoint emission sources and intensities.

AI-Driven Capabilities

Edgeliot's integration of artificial intelligence into its sensor systems allows for real-time data processing and anomaly detection at the edge, reducing latency and enhancing the responsiveness of environmental monitoring efforts.

Leadership Team

Gary McDarby, PhD CEng

• Position: CEO

• Professional Background: Background in Electronic Engineering, Signal Processing, and Algorithm Development.

• Key Contributions: Led the establishment of Edgeliot, focusing on innovative technology solutions for environmental monitoring.

Larry Fitzgerald

• Position: Co-founder

• Professional Background: Electrical and Software Engineer with experience in hardware and firmware development.

• Key Contributions: Developed hardware and firmware for Edgeliot's sensor systems, contributing to the company's technological advancements.

Subham Joshi

• Position: Co-founder

• Professional Background: Expertise in embedded systems, hardware design, and mechanical design.

• Key Contributions: Focused on hardware design and testing for Edgeliot's sensor devices, ensuring their reliability and performance.

Derek Byrne

• Position: Co-founder

• Professional Background: Experience in algorithms, embedded systems, and wireless networks.

• Key Contributions: Led the design and development of complex IoT solutions, bridging the gap between devices and sustainable environmental monitoring.

Theo Delettre

• Position: Co-founder

• Professional Background: Full-stack and AI developer with a focus on processing and visualizing climate data.

• Key Contributions: Developed AI-driven data processing and visualization tools to enhance the interpretability of environmental data.

Competitor Profile

Market Insights and Dynamics

The environmental monitoring sector is experiencing significant growth, driven by increasing awareness of climate change and the need for accurate, real-time data. Advancements in sensor technology, edge computing, and artificial intelligence are enabling more efficient and widespread monitoring solutions.