Environmental Material Science (EMS) provides a suite of autonomous soil sensors that monitor hydrocarbon contamination, methane emissions, and groundwater stability, delivering high-density data for real-time analysis. This technology reduces testing costs and health, safety, and environmental risks while ensuring compliance through accurate reporting to stakeholders and regulators.
Funding
$1.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional methods of soil and water monitoring for pollutants are often expensive, labor-intensive, and provide infrequent data points, making it difficult to get a comprehensive understanding of contamination levels and plume dynamics. This can lead to increased environmental liability, higher remediation costs, and challenges in demonstrating regulatory compliance.
Solution
LiORA by EMS provides a suite of autonomous soil and water sensors that deliver high-density, real-time data for monitoring hydrocarbon contamination, methane emissions, and groundwater stability. These sensors minimize the need for frequent site visits, reducing testing costs and health, safety, and environmental (HSE) risks. The system includes AI-backed analysis and customizable dashboards that convert raw data into actionable insights for technical, executive, legal, and regulatory teams, facilitating adaptive management and informed decision-making.
Target Audience
The primary customers are environmental consultants, site remediation companies, oil and gas operators, and agricultural businesses responsible for monitoring and managing soil and water quality.
Features
- Autonomous sensors for continuous, real-time monitoring of soil and water conditions
- Measures hydrocarbon levels, methane emissions, groundwater concentration, and plume stability
- High-density data collection, capturing 48 measurements per day, 365 days a year
- Wireless data transmission to a centralized platform for remote monitoring
- AI-powered analytics for data interpretation and predictive modeling
- Customizable dashboards for visualizing trends, patterns, and anomalies
- Alerts and notifications for exceeding pre-defined thresholds or identifying potential issues
- Battery, solar, or hardwired power options with a 2+ year lifespan