Web

OpenMercantil is an independent web application for Spanish public business data. It organizes information derived from the BORME (Official Bulletin of the Commercial Registry) and other public sources through a company search engine, timelines of registry events, pages organized by province and sector, downloads, and documented APIs.

Its mission is to contribute to the Spanish and international open data ecosystem on a nonprofit basis, enabling citizens, SMEs, analysts, procurement departments, journalists, researchers, developers, and professionals to find, understand, and reuse public commercial information responsibly.

It is important to note that it is not the BORME itself, the Commercial Registry, the BOE (Official State Gazette), a credit scoring agency, or an official certification service; for legal validity, users should consult official sources or seek professional advice.

Licigator is a technological solution conceived as an advanced search engine for Spanish public tenders, aimed at optimising the processes of locating, analysing and monitoring public sector contracts for companies and professionals.

The platform is based on the reuse of the OpenPLASCP open dataset, published by the Sub-Directorate General for the Coordination of Electronic Procurement. Based on this data, Licigator offers an optimized interface and a structured filtering system that simplifies the workflow of users, facilitating access to the information of the open data project of the Government of Spain.

In addition to agile consultation, the tool allows the generation of customized reports on competition, sector trends and strategic analyses derived from the tenders published daily.

Tender Information Structure

Licigator centralises and structures the key information of each procurement procedure into three fundamental blocks:

1. Information from the contracting agency

• Full identification: name, address and contact details of the contracting authority.
• Institutional traceability: direct links to the agency's website and to the original tender on the Public Sector Procurement Platform (PLACSP).

2. Key data of the file

• Unique identification: file number to ensure exact traceability.
• Executive summary: description of the object of the contract.
• Economic aspects: base tender budget (maximum amount allocated to the contract).
• Standardized classification: CPV (Common Vocabulary of Public Contracts) codes for the precise categorization of economic activities.
• Associated documentation: access to the Technical Specifications and Administrative Clauses (available depending on the subscription modality).

3. Status and follow-up of the procedure

• Deadline management: deadline for submission of bids highlighted on a preferential basis.
• Processing history: date of the last update and current administrative status of the tender.
• Resolution: information on successful bidders and access to the official award document (available depending on the subscription modality).

Snowy is a comprehensive meteorological platform that consolidates, processes, and visualizes open data from multiple public and scientific organizations. Its main objective is to provide meteorological, environmental, and geological information in an accessible, rigorous, and non-sensationalist manner.

The platform stands out for its technical yet accessible approach, allowing users to:

• View detailed forecasts at the municipal level.
• View real-time data from weather stations and compare the main global numerical weather prediction models (ECMWF, GFS, ICON, ARPEGE, GEM).
• Monitor the status of water resources (reservoirs and watersheds) and air quality/pollen levels.
• Track national and international seismic activity.
• Use advanced meteorological calculation tools (dew point, wind chill, snow line).

Technological innovation: it features a real-time, multi-layered interactive map; a meteorological encyclopedia with over 725 terms to promote scientific literacy; and an AI-powered conversational assistant to provide personalized answers to questions.

Madriwa is an interactive web application designed to help people find the most suitable neighbourhood to live in Madrid by analysing urban data, nearby services and personal preferences.

The platform collects and processes information from more than 100 data sources, many of them from the Madrid City Council's open data, and updates this information regularly through automatic data analysis processes. With this data, it generates personalized profiles and recommendations on different areas of the city.

Through the application, the user can enter their interests or profile (for example, student, family or couple) and the tool analyzes which neighborhoods best fit those preferences. It also allows you to indicate important places such as work, university or the gym, to calculate distances and travel times.

Madriwa's key features include:

• Classification of neighborhoods in Madrid according to user preferences.
• Display on an interactive map with information on nearby services and facilities.
• Analysis of travel and isochronous times from different locations.
• Consultation of urban indicators such as average income, safety, population density or presence of facilities (schools, hospitals, public transport, etc.).

The app uses data analytics technologies, geographic information systems, and mapping visualization to transform large volumes of urban information into understandable recommendations for those looking for housing in the city.

Embarriados Atlas of the new urban and social vulnerability in Spain is a research project by the company 300,000 km/s and the COTEC Foundation that seeks to provide new knowledge about the relationship between city, mobility and urban inequality to support the formulation of public policies and avoid the potential risks of social segregation resulting from decarbonization. 

Embarriados is based on the idea that the new urban models of low mobility promote health and social well-being, but at the same time entail a risk of greater segregation of the population due to the new spatial dynamics that reduce the interaction between different social groups. Its objective is to provide evidence to design more inclusive cities and anticipate segregation risks in the transition to decarbonized urban models. 

The research is based on the analysis of massive data that allows describing the socioeconomic level of the population, urban fabrics and their uses, and daily movements from mobile telephony, integrating these layers to build territorial metrics and indicators. The project publishes replicable methodology and the data model for reuse. 

The portal includes a section with the final data model that includes the indicators and the clustering is shared so that it can be used. 

The application is a tourist mobility analytics platform that integrates overnight stay data from the INE's experimental statistics with its own spatial estimation algorithms, capable of identifying the attraction of tourists at the 100-metre grid level. This approach allows working with a high granularity, facilitating a precise understanding of how tourist flows are distributed and concentrated in the territory.

On this basis, the solution incorporates advanced models for the processing of mobility matrices, aimed at detecting patterns, recurrences and relevant dynamics in the movements of tourists. Based on this data, an automated system of insights generation  is activated  that identifies high-value events, that is, significant findings that emerge from large volumes of complex, redundant or apparently obvious information, and that are transformed into useful and actionable knowledge.

All this analytical capacity is presented through a conversational interface based on generative artificial intelligence (GenAI/LLM), which allows non-technical users to interact with the system using natural language. In this way, the exploration, understanding and interpretation of data is facilitated, reducing technical complexity and favoring informed decision-making in areas such as tourism planning, destination management and the optimization of strategies within the sector.

Description: The Housing Viewer of the Institute of Statistics and Cartography of Andalusia (IECA) is an interactive web application that allows you to explore and analyse the spatial distribution of housing in Andalusia using detailed maps and geographical data.

The tool is part of the statistical project "Characterization and distribution of built space in Andalusia", whose objective is to offer exhaustive information on the housing stock of the autonomous community. The data come mainly from the Real Estate Cadastre and are organised into a statistical grid of cells of 250 × 250 metres, which allows the location and characteristics of the dwellings to be studied with great territorial precision. 

Through the viewer, the user can:

• To visualize the geographical distribution of homes in the Andalusian territory.
• Consult statistical information associated with each area of the map.
• Search and navigate the map using zoom and cell selection tools.
• Access alphanumeric data and cartographic layers that show different characteristics of the residential stock. 

The application is designed for citizens, researchers, technicians and public administrations, as it facilitates the territorial analysis of housing and supports urban planning, the study of the real estate market or research on the development of the territory. In addition, the data can be downloaded and used in other geographic information systems.

Fuelconomy is a free fuel price comparison platform, covering 52,000+ petrol stations across France, Spain, Italy, United Kingdom, and Portugal. It aggregates official government price data (including datos.gob.es for Spain) into a single live database, updated twice daily. 

Users can compare fuel prices on an interactive map, find the cheapest station nearby, track 30-day price history, set price alerts, and plan fuel-efficient routes. 

The app is available in 5 languages (English, French, Spanish, Italian, Portuguese).

MapaForestal.es es una aplicación web interactiva diseñada para explorar la diversidad y riqueza de los bosques de España. La plataforma utiliza datos abiertos oficiales del Ministerio para la Transición Ecológica (MITECO) para mostrar con precisión la ubicación y la especie de árbol predominante en cada rincón del territorio nacional, desde la península hasta las islas. 

Las principales funcionalidades de la aplicación son las siguientes: 

• Identificar especies en tiempo real: descubrir qué tipo de bosque está pisando o visualizando (encinares, hayedos, pinos, laurisilva, etc.) y consultar sus características técnicas.
• Analizar el entorno local: utilizar la herramienta "¿Qué árboles tienes cerca?" para generar gráficos de porcentaje, superficie y densidad forestal de cualquier ubicación.
• Generar reportes personalizados: crear y descargar dashboards creativos con mapas e infografías de sus zonas favoritas para compartir o estudiar. 

La aplicación está pensada tanto para senderistas y amantes de la naturaleza como para estudiantes y profesionales del sector ambiental, facilitando el acceso al patrimonio natural español y fomentando la conciencia ecológica a través de la tecnología y los datos abiertos.

Minerva is  Viladecans City Council's smart city platform designed to integrate, unify and exploit urban data in real time, combining information from municipal sensors, corporate databases and external public and private sources. Developed on a cloud architecture under a SaaS model  , it allows heterogeneous data to be centralised and transformed into structured, interoperable and accessible information.

Through interactive panels, dynamic maps and geovisors (based on Esri ArcGIS Enterprise technology), the platform facilitates sectorized visualization by areas such as mobility, air quality, energy efficiency, maintenance of public space or citizen safety. 

One of the most relevant aspects is the integration and reuse of open data. Minerva not only consumes public data from other administrations (such as traffic, weather or transport), but also publishes much of the information generated on the Viladecans 360 portal. 

In this way, Minerva not only acts as an internal tool for municipal management, but also as an urban data ecosystem that promotes innovation, participation and evidence-based decision-making, strengthening a more efficient, sustainable and open city model.