echoloc

mindit.io Tech Stack

AI and data transformation services for enterprise scale-out

Software Development Zug, Zug 201–500 employees Founded 2015 Privately Held

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.

Tech Stack 76 technologies

Core StackAzure Functions Azure DevOps Docker Kubernetes Python Databricks Oracle Database SQL Server scikit-learn TensorFlow PyTorch Java Postman Selenium Jira Confluence Elasticsearch Angular PySpark Salesforce Azure Azure VMs Azure Kubernetes Service PowerShell Bash Appium Kibana Android iOS Spark SQL+41 more
AdoptingMLflow

What mindit.io Is Building

Challenges

  • Third party risk assessment
  • Data governance and quality
  • Real-time and batch data processing

Active Projects

  • Risk assessment for third party providers
  • Ai, bi & advanced analytics solutions delivery
  • Scalable data pipelines in databricks
  • Exploring ml, ai, big data advancements

Hiring Activity

Accelerating6 roles · 2 in 30d

Department

Data
4
Engineering
1
Security
1

Seniority

Mid
3
Senior
3
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About mindit.io

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).

HeadquartersZug, Zug
Company Size201–500 employees
Founded2015
Hiring MarketsRomania

Frequently Asked Questions

What technologies does mindit.io use?

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.

What industries does mindit.io serve?

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.

How this profile is built

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.