Divirod

Divirod, founded in 2016 by Javier Marti, operates as a data-as-a-service (DaaS) company focused on providing comprehensive water data and analytics. The company has established a global network of sensors to deliver precise, real-time measurements of water levels, snowpack, and soil moisture. This network addresses the critical need for granular environmental data across various sectors.

The founder, Javier Marti, brings a significant background in telecommunications and satellite technology to Divirod. His experience includes roles such as CEO of Hispasat and a board member at AT&T, which has informed the company's approach to building a scalable, global sensor network. This expertise is pivotal in the company's mission to digitize and monitor water resources effectively. Divirod has successfully deployed its technology across the globe, including significant projects in locations like the Colorado Rocky Mountains and with partners in Brazil.

Divirod's business model is centered on a subscription-based service, offering an end-to-end solution that includes hardware, data telemetry, and an analytics platform. This model eliminates the need for clients to make significant upfront capital investments in hardware, instead providing a clear operational expenditure structure. The company serves a diverse client base, including government agencies, agricultural businesses, insurance companies, and industries like mining and energy that require detailed water risk management. By providing high-fidelity data through its proprietary WRAS® (Water Risk and Analytics Service) technology, Divirod enables clients to make informed decisions regarding water conservation, property protection, and ecosystem management.

The company's core offering is a network of all-weather sensors that provide continuous, 24/7 monitoring. The data collected is processed and presented on a user-friendly online platform, offering insights and predictive analytics. This service allows for rapid deployment and scalability, giving users access to meaningful data within hours of setup. The high accuracy and precision of the data are key differentiators, supporting more reliable predictions and risk assessments for floods, droughts, and other water-related challenges.

Keywords: water data, environmental monitoring, data-as-a-service, water risk management, sensor network, predictive analytics, climate tech, hydrology, snowpack monitoring, soil moisture