Velv Strengthens Its Data and AI Engineering Team

Velv continues to strengthen its position as a trusted partner in data engineering and applied AI. Our team brings years of hands-on experience delivering scalable, production-ready systems in industries where data plays a critical role in performance and compliance. Building on this strong foundation, we are expanding our teams with new talent that reinforces our expertise and enables us to take on increasingly complex, data-driven projects .

Velv is making significant investments in NLP throughout 2025.

This foundation allows us to move with confidence into more technically demanding environments, where reliability and long-term maintainability are key. Our knowledge spans across data modeling, cloud infrastructure, automation, and real-time analytics. We understand how to design systems that not only solve current challenges but also adapt to future needs.

To support this growth, we are expanding our teams with professionals who add depth in areas such as machine learning operations, large-scale architecture, and domain-specific data solutions. These additions are not just about scaling capacity, but about strengthening our ability to handle projects that involve larger data volumes, stricter requirements, and tighter integration between engineering and business goals.

Delivering AI and Data Platforms That Work at Scale

Our teams have built large-scale data platforms that process terabytes of transactional, behavioral, and risk-related data every day. These systems run on cloud-native architectures using technologies such as BigQuery, Azure Data Factory, Databricks, and Airflow. Our engineers design and maintain data pipelines that support both operational analytics and regulatory compliance, with integrated access control, policy tagging, and full automation across cloud environments.

On the AI side, our team delivers intelligent solutions powered by Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), sentiment analysis for financial markets, and reinforcement learning agents. These technologies are used to build tools that support real-time decision-making and automate access to business-critical information.

We also bring strong experience in deploying and optimizing AI systems for production. This includes techniques like quantization, distillation, and performance acceleration to ensure scalability and speed, supported by solid MLOps practices and CI/CD pipelines.

Our teams work across the entire lifecycle of data and AI development. From ingestion and transformation to modeling, deployment, and monitoring, we ensure each step is aligned with the operational and strategic goals of the business. Engineers collaborate closely with product and delivery teams to make sure every solution works in practice, not just on paper.

Velv is approaching the AI space with focus, expertise, and long-term vision.

What sets Velv apart is how we build our teams and deliver results. We work with people who take responsibility, understand the business context, and focus on solving real problems. Our engineers are hands-on throughout the process and help shape both the technical approach and the end product.

Data and AI are not just capabilities we offer. They are a core part of how we work with clients to build more intelligent, efficient, and future-ready systems. As we grow, we remain focused on consistency, quality, and long-term impact.