The startup develops wireless methane sensors that provide real-time analytics to monitor energy production efficiency and reduce labor complexities in asset management. By enabling operators to optimize pump performance, the technology enhances safety and minimizes environmental impact associated with methane emissions.
Funding
$5M 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
Monitoring methane emissions in the energy sector is challenging due to the need for frequent and accurate data collection across distributed assets. Traditional methods often involve manual inspections, which are labor-intensive, costly, and can lead to delayed detection of leaks and inefficiencies. This lack of real-time visibility hinders efforts to optimize energy production, ensure safety, and minimize environmental impact.
Solution
Noven provides an integrated Industrial IoT platform that enables continuous, in-situ monitoring of methane and CO2 emissions. The system utilizes low-power wireless sensors to capture real-time data, which is then transmitted to a gateway capable of edge computing and machine learning. Proprietary AI algorithms diagnose anomalies, detect leaks, and quantify emissions, while a cloud-based platform visualizes and reports the data to end-users via web and mobile applications. This end-to-end solution facilitates proactive interventions, reduces operational costs, and supports efficient decarbonization of the energy system.
Target Audience
The primary target audience includes oil and gas operators, energy companies, and environmental agencies seeking to enhance carbon management, improve asset integrity, and optimize production efficiency in mature fields and new energy projects.
Features
- Wireless methane and CO2 sensors designed for hazardous areas and outdoor use
- Clamped-on wireless load cells and pressure transmitters for production monitoring
- Edge analytics with proprietary AI/ML algorithms for anomaly detection and diagnostics
- Real-time emissions measurement and quantitative reporting
- Secure data communication via cellular and satellite links
- Role-based user interfaces accessible through iOS and web applications
- Integration with AWS and private cloud environments
- Options for emissions modeling and leak detection