WayOps is a Madrid-based consultancy specializing in Big Data, AI, and DevOps for enterprise digital transformation. The stack reveals a dual-cloud architecture (Azure Data Factory, Databricks, SageMaker alongside AWS Glue, Redshift, Athena) with heavy investment in data pipeline tooling (PySpark, Delta Lake, Unity Catalog, Hive). Active pain points and projects center on MLOps hardening—automating model deployment, adapting analytics platforms for production ML, and deploying LLMs at scale—suggesting the firm is shifting from one-off analytics engagements toward repeatable AI industrialization frameworks.
Notable leadership hires: Lead Generation
WayOps delivers consultancy and custom software solutions for cloud, data, and AI transformation across mid-market and enterprise clients. The firm combines strategy and implementation across three dimensions: cloud infrastructure design, Big Data pipeline architecture, and machine learning operationalization. The current project slate emphasizes data lake transformations (medallion architecture), MLOps automation, and vector database deployment, paired with production hardening work on incident management and low-latency AI agent serving. The company operates across Spain and Germany with an engineering-forward team structure.
WayOps operates across both Azure (Data Factory, Databricks, Machine Learning, DevOps) and AWS (Glue, Redshift, Athena, SageMaker, CodePipeline). The dual-cloud approach reflects client portfolio diversity and cloud-agnostic consulting positioning.
Current projects include medallion data lake transformations, MLOps deployment automation, vector database deployments, and production AI model hardening (LLM deployment, low-latency agent serving, incident management). Marketing work includes inbound funnel and lead scoring development.
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