Nearshore Case Study

Artificial Intelligence

A fast-growing European AI consulting company partnered with Velv to scale its technical delivery capacity. With increasing demand for advanced machine learning, NLP, and data science solutions, the client needed a reliable and experienced nearshore partner that could deliver integrated teams of senior-level engineers, while maintaining high standards in quality, collaboration, and security.

The challenge

As the company took on more complex AI projects across industries such as finance, telecom, and manufacturing, it became critical to expand its engineering team quickly and without compromising talent quality or cultural fit. So our goal was to deliver a service that could perfectly fit our client’s needs by:

  • Extending its AI and data engineering teams to meet growing project demand

  • Maintaining strict delivery standards and model performance benchmarks

  • Integrating seamlessly with internal squads working across Germany and remote-first teams

  • Ensuring data security and compliance with European regulations

Approach and Solution

Velv designed and delivered a flexible, nearshore delivery model based in Portugal, fully aligned with the client’s agile development structure. The engagement included:

  • NLP Engineers and LLM Specialists working on Retrieval-Augmented Generation (RAG), model tuning, and AI-powered assistants

  • Data Engineers building and maintaining data pipelines, orchestrating workloads using Airflow, and working across GCP and Azure

  • Data Scientists and MLOps Experts focused on experimentation, evaluation, and deployment of production-grade ML models

  • Strong collaboration frameworks with joint sprint planning, shared Git workflows, and aligned CI/CD practices

All team members were selected to match both the technical environment and the team culture. The client maintained full product ownership, while Velv ensured smooth onboarding, stability, and delivery consistency over time.

The impact

This nearshore collaboration enables our client to:

  • Scale faster without overloading internal hiring processes

  • Shorten delivery timelines for AI and NLP products

  • Maintain high code quality and model reproducibility

  • Operate securely and compliantly with GDPR and ISO-aligned practices

  • Build a long-term, distributed engineering culture across borders

A Reliable Nearshore Partner for AI Delivery

Velv continues to support the client’s roadmap, adjusting team composition as needed and introducing senior talent in areas such as generative AI, real-time data processing, and ML infrastructure. With a strong foundation of trust and delivery, the nearshore collaboration has become a core pillar of the client’s ability to grow sustainably and innovate at scale.

By continuing to invest in AI and strengthen its capabilities across data engineering, machine learning, and NLP, Velv is positioned to support an increasing number of clients and partners who are also prioritizing innovation in this space. From startups building AI-driven products to enterprises modernizing their data infrastructure, Velv provides the technical expertise and delivery model needed to turn AI strategies into real, scalable outcomes.