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Artificial Intelligence and Big Data Consultancy

Artificial intelligence and machine learning are having a significant impact on many industries by automating processes, performing predictive analysis and extracting maximum value from your data.

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AI Capabilities

NLP and Text Analysis

With Natural Language Processing (NLP) applications, you can extract greater value from the information contained in texts, voice recordings, etc., analysing not only the content but also the sentiment associated with that content.

Predictive Analysis (Deep Learning)

Our engineers develop solutions designed to identify patterns and make more accurate predictions through deep learning. By analysing your data, we can predict anomalies, behaviours or trends using unsupervised learning.

Computer Vision

Using complex algorithms based on artificial neural networks, our AI engineers extract information from images and videos. Combining computer vision with other intelligent systems can be used to create a variety of solutions.

Data Capture and OCR

We can help you extract information from your documents, regardless of the source, format or whether they are structured or unstructured. We capture data and process it automatically.

Decision Making

Operational intelligence improves decision making and reduces uncertainty. Artificial intelligence algorithms process large amounts of data in real time, which allows you to react and make decisions that would otherwise not be possible.

Want to know how our AI and Big Data services can transform your business?

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Artificial Intelligence Services

Servicios de Inteligencia Artificial

1. Discovery Workshop

A one-day AI consultancy service involving an exploratory analysis of a customer’s data sources, infrastructure and workflows, conducted together with the customer. Depending on their business objectives, we assess potential business cases and the ideal technologies to deliver them.

2. POC and Modelling

Using the customer’s roadmap as a basis, our data scientists develop a proof of concept (POC). They check which machine learning models are feasible and select those that generate the most value for your business.

3. Model Deployment

After testing the validity of the prototype model, the next step is to deploy it to production and integrate it with a business application. We check that it is working correctly and train your team to operate it. We can also provide customers with support and maintenance services for both applications and models (MLOps).

Using Artificial Intelligence in Business

Companies can use Artificial Intelligence in many applications. The number of applications is growing every day. Below we list some of the applications that are being used in different sectors today.

Banks and Insurance Companies

  • Fraud Detection
  • Risk Management
  • Predictive Analysis
  • Creditworthiness Assessment
  • Legal Regulation
  • Intelligent Segmentation
  • Claims Assessment
  • Personalised Recommendations
  • Sales Optimisation
  • Customer Behaviour Analysis
  • Customer Life Cycle Prediction


  • Hyper-Personalisation
  • Stock Optimisation
  • Price Optimisation
  • Sales Forecasting
  • Emotion Analysis
  • Intelligent Search
  • Personalised Recommendations
  • Advanced Segmentation
  • Campaign Optimisation
  • Customer Life Cycle Prediction
  • Customer Behaviour Analysis

Manufacturing and Logistics

  • Preventive Maintenance
  • Supply Planning
  • Demand Forecasting
  • Inventory Optimisation


  • Patient Experience
  • Remote Patient Monitoring
  • Virtual Assistance
  • Advanced Diagnostics and Imaging
  • Treatment Optimisation
  • Pharmaceutical Research

Media and Entertainment

  • Hyper-Personalisation
  • Emotion Analysis
  • Recommendations
  • Audience Analysis


  • Customer Analysis
  • Customer Life Cycle Prediction
  • Personalised Experience

Artificial Intelligence Technology Experts

Google AI
Tensor Flow
Scikit Learn
Google Cloud Build

Big Data Solutions

Big Data refers to the generation, storage and processing of large volumes of data, both structured and unstructured. These data stores are growing rapidly. The sheer diversity of sources and formats makes it complex to capture and process this data. Xeridia’s Big Data consultancy services will help you transform your data and extract its full potential.

Soluciones Big Data


Big Data Consultancy

Obtaining high-quality data sets that help us make more accurate business decisions is at the heart of big data. We analyse your data sources and identify potential revenue generating applications. We develop the models and roadmap for capturing the data required for analysis and decision making.

  • Our experienced big data consultants will recommend the appropriate architecture and technologies for your project.
  • We work with big data solutions using cloud, on-premise or hybrid environments.
  • We guarantee high levels of data security and data quality.
  • We optimise system performance and storage costs.

ETL Processes

Many organisations rely on data in their decision-making. Traditionally, this has been done using ETL (Extraction, Transformation and Loading) processes. As part of this data integration effort, organisations need tools for extracting and transforming data into formats that can be readily used for analysis.

Because of the wide variety of data formats found in organisations, the work required to achieve this has become extremely complex and costly.

Xeridia has extensive experience in developing and using the tools required to carry out these processes.

Data Science

By applying machine learning models, we can perform advanced data processing. Subsequently, the development of a predictive analysis model allows us to extract maximum value from the data and drive digital transformation and decision making in data-driven companies.

Development and Implementation of Big Data Architectures

Our big data architectures are focused on data integration, management and security, offering scalable and flexible solutions. We use state-of-the-art technologies that support mass data processing and storage.

Big Data Technology Experts

Apache Spark
Google Cloud
Microsoft Azure Blob Storage
ELK Stack