v4c.ai is a Databricks-focused consulting firm built on a cloud-native stack (Azure, AWS, GCP with Kafka, Kubernetes, Terraform) serving mid-market enterprises scaling data platforms. The hiring mix—weighted toward senior data and engineering roles, with parallel security and sales expansion—indicates they're scaling delivery capacity while building GTM infrastructure. Active work on governance (Unity Catalog), data quality, and AI/ML projects reflects client demand for end-to-end lakehouse buildouts, not just infrastructure.
v4c.ai is a 51–200-person IT services consultancy based in Scottsdale, AZ, specializing in Databricks implementations and data modernization. They deliver end-to-end lakehouse architecture, data engineering, AI/ML pipelines, and governance frameworks to enterprises moving toward data-driven operations. The technical footprint spans Azure, AWS, and GCP, with deep expertise in orchestration (Kubernetes, Istio), streaming (Kafka, RabbitMQ), and infrastructure-as-code (Terraform, CloudFormation). They're actively staffing data and security roles across US, Italy, and India—a geographic spread typical of high-velocity consulting delivery models.
v4c.ai specializes in Databricks implementations, lakehouse architecture, data engineering, AI/ML, and governance enablement. Current projects include Unity Catalog for data governance, data quality initiatives, and deep learning/agentic AI platforms.
Cloud platforms: Azure, AWS, GCP. Streaming: Kafka, RabbitMQ. Orchestration: Kubernetes, Istio. Infrastructure: Terraform, CloudFormation. Languages: Python, C#, Bash. Analytics/ML: Databricks, scikit-learn, Prometheus, Grafana.
v4c.ai's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.