EYECON GROUP
Creates effective applications to mitigate environmental risks.
| Date | Investors | Amount | Round |
|---|---|---|---|
N/A | Support Program | ||
| Total Funding | 000k | ||
| EUR | 2020 |
|---|---|
| Revenues | 0000 |
| EBITDA | 0000 |
| Profit | 0000 |
| EV | 0000 |
| EV / revenue | 00.0x |
| EV / EBITDA | 00.0x |
| R&D budget | 0000 |
Source: Company filings or news article
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Established in 2017, EYECON GROUP is a specialized technology firm that leverages remote sensing, machine learning, and artificial intelligence to address environmental challenges. The company was brought into existence by Miguel Correia, who serves as Managing Partner, focusing on strategy and business development. His background as an executive in both public and private sectors provides the venture with a blend of strategic oversight and hands-on technical application. The company operates on the belief that data, when properly interpreted, can offer solutions to significant industrial and environmental problems.
The core of EYECON GROUP's business is the development and provision of predictive applications designed to mitigate natural hazards. This is achieved by collecting and processing a wide array of data streams, including satellite imagery and environmental data, and applying proprietary algorithms to generate actionable intelligence. The company serves clients who need to anticipate and manage environmental risks. Its business model centers on offering these data-driven solutions through intuitive interfaces like dashboards and mobile applications.
EYECON GROUP's product suite includes several specialized applications. SOILRISK is a high-resolution predictive model that analyzes atmospheric and environmental data to forecast the probability of landslides and function as a warning system. Another key product, RIVERFLOW, gathers similar data sets to predict and prevent floods by monitoring water levels in rivers and streams. The company is also developing HABTRAIL, a system designed to detect, monitor, and predict the expansion of harmful algal blooms through deep learning models and a mobile app that allows users to identify potential blooms by uploading a photo. Through these applications, the firm combines Remote Sensing and IoT to create precise predictive models for natural hazards.
Keywords: environmental risk mitigation, remote sensing, machine learning, artificial intelligence, natural hazard prediction, predictive analytics, satellite imagery analysis, landslide prediction, flood warning system, harmful algal bloom monitoring, environmental data solutions, geospatial intelligence, SOILRISK, RIVERFLOW, HABTRAIL, environmental technology, IoT, data-driven solutions, risk management, earth observation