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Nov 4, 2025

Subduxion and Databricks make data natively available on the Databricks platform

Together, Subduxion and Databricks make AI work in reality: connecting data, compliance, and operations into one trusted backbone.

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AUTHOR

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AUTHOR

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AUTHOR

Subduxion
Logo of a company with a minimalistic design on a light gray background, featuring the words "Subduxion" and "Databricks."

At Subduxion, we believe the real challenge of artificial intelligence isn’t building new models, it’s preparing organizations to make them work in the real world.
For that, you need a strong data backbone, not just a new algorithm.

That’s where our collaboration with Databricks comes in.

Together, we help organizations move from fragmented, legacy data structures to unified, governed, and actionable intelligence. Databricks provides the technical foundation - a Lakehouse architecture that brings all data, analytics, and AI capabilities into one trusted environment. Subduxion brings the strategy, engineering, and operational discipline to make it perform inside complex, regulated enterprises.

We approach every partnership the same way: by starting from the client’s reality, not from a product.
Our work with Databricks isn’t about promoting a platform. It’s about solving recurring problems that hold businesses back from scaling AI responsibly:

  • disconnected data sources across departments,

  • inconsistent data governance and lineage,

  • low trust in reporting and AI output,

  • and long project cycles with unclear ROI.

Through joint engagements, we help clients design and implement what we call Applied AI Foundations - projects that focus on three outcomes:

  1. Discovery and Monetization - identifying where data already creates or leaks value, and where AI can turn inefficiencies into profit.

  2. Assessment and Readiness - auditing the data estate, quality, and compliance maturity to prepare for scalable AI use.

  3. Unification and Execution - bringing operational, financial, and quality data together on Databricks’ Lakehouse, so AI agents can act on truth instead of assumptions.

Our approach remains vendor-neutral by design.
We integrate Databricks because it accelerates data maturity and interoperability but we always build architectures that respect open standards, client autonomy, and long-term flexibility.

That philosophy matters.
AI adoption is not about choosing a tool, it’s about creating a system that continues to learn, adapt, and deliver value even as technology evolves.

With Databricks, we can deliver that an environment where governance, performance, and innovation align.
With Subduxion, clients get more than integration. They get a partner who engineers clarity before intelligence.

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