Your AI initiatives are only as strong as the data beneath them

Visium Data Foundation is a low-code data automation solution that accelerates how enterprises design, build, and govern their analytical data infrastructure — so your teams can deliver AI-ready data products in weeks.

Low code data transformation

From source system discovery and metadata extraction, through data modeling and transformation design, to native code generation and CI/CD-integrated deployment.

Enterprise data automation solution

Visium Data Foundation is an enterprise data automation solution that covers the full lifecycle of analytical data delivery.

Clean, native code

Our solution generates clean, native code with no proprietary wrappers and no vendor lock-in.

Operational from day one

Deployed by Visium's senior data engineers. Configured to your governance standards.

Supporting trusted technologies

From source data to production-ready data products

Four structured steps that will help you turn your valuable data into actionable business insights

1. Discover

Extract your metadata automatically

Visium Data Foundation connects to your existing source systems and automatically extracts and organizes your enterprise metadata.
This eliminates weeks of manual data cataloguing and establishes a reliable foundation for every downstream design decision.
Compatible with your existing databases.
2. Model

Design your data architecture with embedded expertise

Mitigate technical complexity & reduce reliance on scarce specialist resources so your team can focus on strategic decisions.
Whether your data team prefers data vault or dimensional (star schema/Kimball) modeling, built-in industry expertise guides them toward a successful data platform.
Project-specific requirements and data governance standards can be customized to match your organization's needs, without sacrificing engineering control.
3. Generate

Production-ready native code, automatically

Visium Data Foundation solution generates optimized, platform-native code for your target technology.
We currently focus on Databricks, Snowflake & Microsoft Fabric.
No proprietary layers. No performance trade-offs. Your engineers maintain complete ownership of the codebase.
4. Deploy

Deploy into your existing CI/CD pipeline

Easily integrate our generated code into your existing CI/CD pipelines while maintaining complete control over the deployment of your data platforms, leverages your existing infrastructure and ensures highest data privacy standard.
Your team can leverage existing CI/CD pipelines and DevOps practices while Visium Data Foundation ensures consistent, reliable deployments.

What changes when your Data Foundation works?

50–70%

Reduction in data engineering effort for initial data platform build. Teams shift from manual coding to configuration and validation.

Weeks → Days

Time from source system discovery to a modeled, deployable data layer. Complex transformations that previously required sprint cycles complete in days.

Zero lock-in

Native code generation means no dependency on the platform at runtime. Teams retain full ownership and portability of their codebase.

Day 1 governance

Compliance and data quality rules are embedded at the design layer. Audit trails are built in.

Questions & answers

What is your advantage in using Visium data foundation?

Speed and flexibility, focus on business value instead of complex coding. Reduced technical complexity.

Why is a data foundation automation tool important in the age of AI?

In order to implement successful AI use cases you need to have your data organized and available in a high quality. We support you in establishing a solid foundation.

Is my data transferred somewhere?

No, we only use metadata and you can check exactly what is uploaded to the systems. A direct internet connection is not necessary.

Is there any vendor lockin?

No, we generate code and push it to the Git repository of your choice. You can always maintain the code manually without the generator approach.

Start with a conversation

Visium Data Foundation is scoped and deployed in the context of your specific data environment, target platform, and business objectives. The right first step is a focused technical conversation.