Svitla, Cloudera partner to deliver AI to regulated industries

By Joshua Gliddon on Mar 11, 2026 11:16AM
Svitla, Cloudera partner to deliver AI to regulated industries
Vinicius Cardoso, Cloudera.
Supplied

Svitla Systems, a global software engineering consultancy, and Cloudera have inked a deal to help highly regulated industries like healthcare and finance, as well as the public sector, build what it calls "trusted data foundations for secure, production-ready AI".

Cloudera will bring its secure data and AI platform, while Svitla gets to supply its engineering know-how designed to modernise legacy systems and help build the data structures AI programs need to move from pilot to production.

“As privacy, data sovereignty and AI governance expectations continue to rise across all industries, organisations need the ability to scale AI without losing control of their data," said Andre Koot, EVP for APAC at Svitla Systems.

“Cloudera’s hybrid data platform, enterprise-grade security and end-to-end data lineage provide the foundation for Private AI, while Svitla brings the software, data and cloud engineering needed to operationalise AI safely and deliver measurable ROI."

"For ANZ healthcare organisations, the critical challenge is adopting AI while managing sensitive patient data across complex, legacy infrastructures. As the only data and AI platform company that brings AI to data, regardless of where it resides, Cloudera solves the data sovereignty dilemma while preventing vendor lock-in,” said Vinicius Cardoso, CTO for Cloudera Australia and New Zealand.

“By combining this trusted foundation with Svitla’s expertise in modernising legacy systems, this partnership enables healthcare providers to enforce rigorous governance and audit controls, ensuring data stays secure and compliant even as they accelerate deployment of responsible, production-grade AI.”

Earlier this year, Cloudera expanded its Cloudera AI Inference service and Cloudera Data Warehouse product with Trino to on-premises environments, and in 2025, the company updated its platform to advance data access, as well as making two of its AI products available to run in on-premise data centres.

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