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A solid data foundation leads to better decisions and greater efficiency, and is essential for AI that creates an actual impact.

Successful AI starts with a reliable, scalable, and strategically aligned dataset. Following an integrated approach combining data strategy, governance, data engineering, and our own data products, we lay the groundwork for informed decisions, powerful analytics, and the productive use of AI.

Our solutions, with our sovereign data platform, Open Datastack, at the forefront, enable companies to systematically leverage data and translate it into measurable business value. This is the key to creating sustainable competitive advantages in a data-driven economy.

Our approach

We support you throughout the entire data value chain. Whether you’re just getting started with your data strategy, modernizing an existing platform, or want to build a targeted data foundation for AI, ti&m is your ideal partner.

Consulting

Data & Analytics Maturity Assessment

We provide a transparent assessment of your current data capabilities across your organization, processes, technology, and culture.

Consulting

Data strategy and use case portfolio

We develop a clear data vision with value-based prioritization of use cases and an actionable road map for phased implementation.

Consulting

Data governance and operating model

We help our clients define roles, processes, guidelines, and architectures to ensure efficient use of high-quality data.

Engineering

Development of a data platform and foundation for AI

We build a scalable, future-proof data platform as the technical foundation for analytics and AI, using both Open Datastack, a data platform developed by ti&m, and other platforms, such as Snowflake and Databricks.

Engineering

Data engineering services

Our experienced data engineers develop and operate robust data pipelines, integrate different data sources, and make data available for specific use cases.

ti&m product - BI and data platform

Open Datastack

Open Datastack is a sovereign, AI-ready data platform that gives companies complete control over their data. Developed by ti&m using open-source technologies, it is already in productive use within several clients’ organizations. Open Datastack offers a unified platform for data, governance, and reporting, without vendor lock-in and with a transparent cost structure.

Your starting point: ti&m’s Data & Analytics Maturity Assessment

This assessment gives you transparency on your company’s level of data maturity and helps you identify key focus areas for action. Examining eight areas of expertise, we analyze organization, governance, processes, people, architecture, and technology.

Building on this, we define a suitable vision for data management and governance. The result is a prioritized road map with concrete measures for establishing an effective and sustainably embedded data and analytics organization.

Open Datastack: The sovereign, cost-effective, AI-ready data platform

Open Datastack is our open-source-based data platform for modern data management, analytics, and reporting. It pools data from different sources to create a unified platform covering everything from integration and storage to governance, use for analytics, dashboards, and data-driven decisions.

With its open interfaces, flexible architecture, and modular components, Open Datastack supports both on-premises and cloud operating models. It is built and operated in Switzerland, ensuring data sovereignty, transparency, and control without vendor lock-in. At the same time, it creates the reliable underlying dataset that companies need to successfully deploy AI based on high-quality, traceable, and trustworthy data.

Trustworthy AI requires a solid data foundation

AI is only as good as its data. We establish the technical and domain-specific data foundation and embed data governance: clear roles, measurable and optimized quality of the data used by AI, and transparency on its sources.

In addition to this, AI governance defines which data the models and agents are allowed to access—ensuring your AI remains reliable, traceable, and compliant.

Discover how our holistic approach to data management benefits your business.

Reliable decision-making insights instead of data chaos

We transform fragmented, isolated data from different systems into a unified, reliable underlying dataset. Your company benefits from consistent metrics, measurable data quality, and complete transparency on the source and meaning of every piece of information—for fact-based decisions instead of gut reactions.

Scalable data platform: From pipeline to report

With Open Datastack, we offer a digitally sovereign data platform with a fast time-to-market: open-source based, on-premises capable, and with plannable costs. For teams with specific requirements, we also implement modern data infrastructures using Snowflake, Databricks, or dbt.

AI readiness: Your competitive edge

We lay the technical and organizational groundwork to ensure your AI initiatives actually succeed: harmonized data models, secure MCP interfaces for LLMs and AI agents, and granular access control. This ensures your AI applications deliver reliable results and remain compliant.

Governance integrated into your daily business

We establish clear roles, responsibilities, and processes for your data, tailored to your organization and strategic goals. The result: Your employees know what data is available, who is responsible for it, and how it may be used. Data quality becomes measurable and sustainable, not just on paper.

Our data management tools and tech-stack

Our consulting services: The strategic, organizational, and technical support you need

Our data and AI consulting services provide comprehensive guidance for your data-driven transformation. Our experts combine in-depth technical expertise spanning data governance, analytics, engineering, and AI to transform complex challenges into clear, actionable strategies.

From holistic data governance to scalable architectures, we work with you to build trustworthy, future-ready data foundations that deliver real results.

Our data engineering services

We build the technical foundation for your analytics and AI initiatives. As part of our holistic approach to data management, we develop scalable data platforms and ensure robust, reliable data pipelines.

We support you every step of the way, from connecting structured and unstructured data sources to technical processing and domain-specific modeling to user-friendly data provisioning for self-service analytics, reporting, and AI use cases.

Business Innovation & Development

Pascal Wild

Build a unified, governance-ready data foundation for analytics and AI. We support you in doing so.