mindit.io is a services-led AI and data engineering firm operating out of Zug with 201–500 employees. The tech stack (Azure, Databricks, Kubernetes, Python, TensorFlow, PyTorch, Spark) reflects deep ML and data-platform engineering; active hiring in data roles and mid-to-senior profiles suggests capacity building for delivery rather than product-driven scaling. Current projects center on third-party risk assessment, BI/analytics delivery, and Databricks pipeline work—paired with stated pain points in data governance and real-time processing—indicating typical bottlenecks in enterprise transformation engagements.
mindit.io delivers AI, machine learning, and data engineering services to mid-market and enterprise clients, with particular depth in retail, telecom, banking, and finance verticals. The firm employs over 300 specialists across AI, ML, data engineering, software development, BI, and systems integration. Work spans the full transformation lifecycle: strategy and architecture through implementation, testing, and optimization. The active project list reflects a services portfolio focused on risk assessment, analytics platforms, and scalable data pipelines on modern cloud infrastructure (Azure, Databricks, Kubernetes).
Core stack: Azure (VMs, Kubernetes Service, Functions, DevOps), Databricks, Kubernetes, Python, TensorFlow, PyTorch, Spark, Oracle Database, SQL Server, and Salesforce. Adopting MLflow for ML workflow management.
Retail, telecom, banking, finance, and enterprise software. Portfolio includes 200+ national and international projects with focus on AI/BI/analytics delivery and data platform engineering.
mindit.io'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.