Ortelium provides cloud-based environmental data intelligence software that combines IoT sensor data, environmental observations, and impact assessments. Their platform helps organizations with regulatory compliance and resource allocation by providing a comprehensive view of environmental data.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to efficiently monitor and manage environmental impact due to fragmented data sources and a lack of tools to correlate environmental observations with operational activities. This makes regulatory compliance challenging and hinders effective resource allocation and community relations.
Solution
Ortelium offers a cloud-based environmental data intelligence platform that integrates IoT sensor data, environmental observations, weather data, and dispersion modeling to provide a comprehensive view of an organization's environmental footprint. The platform enables users to visualize and analyze environmental data in real-time, identify correlations between different data sources, and forecast potential environmental impacts. By streamlining data collection and analysis, Ortelium facilitates regulatory compliance, optimizes resource allocation, and improves communication with local communities through features like a citizen observation app and automated reporting. The modular architecture allows for tailored solutions, and fine-grained data access options ensure that different user groups receive relevant information.
Target Audience
Ortelium targets organizations across various sectors, including wastewater treatment, smart cities and municipalities, oil tanking and storage, waste and recycling, animal processing, pulp and paper, and refineries, that need to monitor and manage their environmental impact.
Features
- Integration of data feeds from IoT-enabled sensor systems and analyzers for continuous monitoring of key environmental parameters (e.g., H2S, CH4S, NOx, SO2, PM).
- Mobile app and web platform for citizens to report environmental observations (e.g., odour, noise, dust) with streamlined data collection and analysis.
- Integration of real-time and forecasted weather data from local meteorological stations and online weather services.
- Dispersion modeling and impact analysis tools to simulate and monitor the dispersion of emissions, enabling retrospective analysis, real-time monitoring, and forecasting capabilities.
- Backtracking capabilities to analyze the pathway of air quality, odour, and dust observations, locating potential sources using meteorological simulation and reverse trajectory modeling.
- Customizable web forms for streamlined data collection, analysis, and follow-up of environmental complaints, incidents, surveys, and measurements.
- Automated reporting features for compliance reports, environmental trend detection, and tailored visualizations.
- Alert and notification system for critical environmental events, such as sensor threshold breaches, environmental observations, and dispersion model warnings.
- Fine-grained data access options to configure individual restricted access to information and features for different user groups.