AI Development solutions at MWC Barcelona 2025 unite under the AI+ theme, which explores business reinvention, customized experiences, data management and ethical issues. We have also witnessed the fact that 2025 tech events are raging about the AI technologies adoption and regulation. SOFTECH, the software development company from Cluj-Napoca, Romania brings on display at Fira Gran Via, Barcelona, its selected set of AI development solutions and competencies. For details and project presentations, you are welcome to visit our stand in Hall 6, 6A60 at the Romanian Pavilion!

The AI Development Lifecycle

SOFTECH has launched its first AI apps back in 2017, at MWC Barcelona. Today we are happy to present a more experienced team of AI development, which will gladly explore the opportunities of AI solutions for your organization. What we think to be crucial as a starting point is to understand the actual AI Development Lifecycle.

AI Development is a very detailed-oriented process. It starts with defining the problem to be solved and it follows with the creation, deployment and maintenance of the AI model. The final goal si to build a secure and scalable AI solution that brings value to your business organization.

  1. Problem definition: scope of the project, stakeholder analysis, requirements elicitation and documentation, feasibility assessment, success criteria definition, ethical impact assessment, regulatory compliance.
  2. Data collection: set data sources, choose data acquisition methods, and sample data, evaluate its quality and try to label data, establish data governance, data privacy and security, manage consent.
  3. Data preparation: data cleaning, integration, transformation, dataset augmentation, data labelling, versioning and pipelines development.
  4. Model design: model type selection, architecture design, hyper-parameter optimization, transfer learning, ensemble methods implementation, ensure interpretability and incorporate security.
  5. Model training: set algorithms, select loss functions, apply regularization, optimize batch dimension and learning rate, scale training, monitor progress.
  6. Model Evaluation: use new test datasets, set evaluation metrics, apply cross-validation, conduct robustness testing, apply A/B Testing, analyze errors and interpretability.
  7. Model Deployment: choose strategy, set model serving, containerization, integration, prepare for scaling, manage versions and rollbacks, integration testing, documentation and handover, set monitoring tools.
  8. Model Monitoring: monitor performance, data drifts, anomalies, implement feedback loops, secure the model, ensure compliance, update and retrain.
  9. Solution integration in larger software ecosystems.

As a corollary of each AI development project, we put a special emphasize on data and app security. Therefore, if you intend integrating a custom AI solution in your organization’s ecosystem, we are open listen more about it!

Let’s meet at MWC Barcelona

Should you be interested in learning more about how we can start an AI development project together, you are welcome to visit our SOFTECH stand in Hall 6.0 (6A60), Romanian Country Pavilion

Fira Gran Via, Barcelona

  • Joan Carles I, 64
  • 08908 L’Hospitalet de Llobregat

Exhibition opening times, daily from 09:00 to 19:00 and Thursday, March 6, 09:00 – 16:00

Permanent contact:

Exhibitor profile: MWC  Barcelona 2025 Exhibitor

Why Work With SOFTECH From Cluj, Romania?

SOFTECH is an award-winning software development company from Cluj, Transylvania region, Romania. Founded in 1998, the company stood its ground across the multiple market transformations in Eastern Romania and in the global software industry, thanks to a passionate team of core developers and experts.

Built around the principle of fine-tuning any collaboration, SOFTECH managed to build long-term projects with top global companies and to deliver reliable software for their industries.

We focus on industrial-grade software development, with particular competencies in DevOps, IoT, mobile, cloud and AI development.

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