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        In the intricate world of retail, mindit.io stands out as your strategic ally.

      • / banking
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        We partner with European banks on AI transformation, data-platform modernization, and regulatory-grade integration across Benelux, DACH, and UK.

      • / financial services

        Financial services: mindit.io data and AI

        Custom software and data platforms for asset managers, payments providers, and insurers across DACH and the US.

      • / healthcare

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        ML and integration solutions for hospitals, health-tech platforms, and national health systems, including Switzerland’s national health sector.

      • / hospitality
        Hospitality: mindit.io data and AI

        Operational and guest-experience software for hotels, restaurants, and global travel groups.

      • / foodtech
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        Product engineering for the food industry: from plant-based configurators to supply-chain analytics.

      • / manufacturing
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        Industrial software, IoT integration, and data platforms for manufacturers modernizing operations.

      • / publishing
        Publishing: mindit.io AI solutions

        ML platforms and editorial workflow systems for publishers, including Izzard Ink Publishing.

      • / real estate
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        Property tech and data analytics for real-estate operators and asset managers.

      • / telco
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        Telecom-grade software for network optimization, customer-facing apps, and AI-driven insights.

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      • / about us

        mindit.io partners and people
        The partner of choice for data & product engineering to drive business growth & deliver an impact within your organization
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        We specialize in Software Product Engineering, transforming your concepts into impactful products.
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        250+ specialists skilled in software, BI, integration, offering end-to-end services from research to ongoing maintenance.
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        We specialize in software product engineering, transforming your concepts into impactful products.
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        We’re a team devoted to making the world better with small acts. We get involved and always stand for kindness.
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        Optimising your Databricks spending. Tips and tricks for a well governed deployment
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        Oracle to Databricks migration for banks 
        AI governance for banks in Switzerland and Germany: what FINMA and BaFin expect 
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AI-Powered Energy Trading at OMV Petrom: From Company Strategy to a Working Use Case

Most AI talks start with the technology. The OMV Petrom session at Databricks Bucharest User Group #3 started one level up, with how the company’s AI strategy connects to its general strategy, and then moved to a specific AI use case in energy trading. It was presented by Michael Reisinger, Digital Trading Manager, and Andrei-Cosmin Ciocan, Data Engineering & AI Technical Lead, both at OMV Petrom, and it opened the technical program of the evening.

Governance on Databricks: Why Cost Control and AI Transparency Are One Problem

Ask most teams what governance means on a data platform and you will get answers about access and permissions. Ask the same teams a year into running AI workloads and the conversation shifts: what is this costing us, who is running it, and can we explain what it did? At Databricks Bucharest User Group #3, our Lead Data Engineer Vlad Mihalcea and Burak Seyid, Solutions Architect at Databricks, took that second conversation as their starting point, in a session on governance from cost optimization to AI transparency.

Migrating the Biggest EDW in CEE to Databricks: The BCR Story

A bank’s enterprise data warehouse is not a system you swap out over a quiet weekend. Reporting, risk, regulatory work and day-to-day decisions all sit on top of it, and years of logic have accumulated inside it. At Databricks Bucharest User Group #3, Mircea Idriceanu, Head of Data for Group; Data Analytics & AI Division at BCR, and our CTO Alexandru Puiu presented how BCR moved what they describe as the biggest enterprise data warehouse in Central and Eastern Europe onto Databricks.

Retail Data Platform Modernization Checklist 2026

Organisations in DACH (Germany, Switzerland, Austria) face mounting pressure to deliver AI initiatives that satisfy both business stakeholders and GDPR and DSGVO regulators. This checklist gives CDO and CTO at DACH omnichannel retailers a systematic way to assess data infrastructure, governance, and organisational readiness before committing budget to an AI transformation programme.

Azure vs Snowflake vs Databricks for Banking Data Platforms

This comparison helps CDO, CAIO, and CTO at DACH retail banks make informed vendor and technology decisions. Each option is evaluated on the criteria that matter most for BaFin and FINMA-regulated banking organisations in DACH (Germany, Switzerland, Austria).

10 AI Use Cases for Retail with ROI Benchmarks — DACH 2026

This library documents 10 AI use cases validated in retail organisations in DACH (Germany, Switzerland, Austria), with realistic ROI benchmarks and implementation timelines. Use cases are sequenced by implementation complexity to support roadmap prioritisation. Use Case Library UC-1: AI-Powered Product Recommendation Engine E-Commerce / Personalisation  ·  12–18 weeks  ·  Medium complexity Problem: Rule-based recommendation engines […]

AI Readiness Score Calculator for Retail

Answer 8 questions across three dimensions to assess your organisation’s AI readiness and receive a tailored action plan. Benchmarked against retail organisations across DACH (Germany, Switzerland, Austria).

AI Readiness Checklist for Omnichannel Retailers — DACH 2026

🔵 Stay updated on AI & data for your industry — Follow mindit.io on LinkedIn → AI Readiness Checklist for Omnichannel Retailers — DACH 2026 Introduction Organisations in DACH (Germany, Switzerland, Austria) face mounting pressure to deliver AI initiatives that satisfy both business stakeholders and GDPR and DSGVO regulators. This checklist gives CDOs and CTOs […]