Reimagine Data Engineering with Agentic AI Framework

Streamline enterprise data platform delivery with secure, scalable components and embedded data quality capabilities.

Modernize DataOps with Accelerator Framework Tools

The demand for enterprise data platform modernization is growing rapidly, but traditional data engineering methods often fall short. Organizations struggle with complex data pipelines, nested workflows, and recurring data quality issues leading to delays, inefficiencies, and rework.

HARMAN Data Engineering Studio addresses these challenges through a portfolio of pre-built accelerators designed to fast-track key data engineering tasks like migration, orchestration, and quality enforcement. This purpose-built framework enables teams to reduce implementation timelines, improve data reliability, and adopt agile DataOps practices.

By guiding teams through the entire cloud data platform journey, from selecting the right engineering approach to applying automation tools and cloud-native services, HARMAN's Accelerator Framework helps standardize and scale modern data engineering processes across the enterprise.​

Our unique capabilities to create transformation

Agentic AI for smarter, faster data integration
Pre-built components to cut delivery timelines
Continuous data quality from Ingest to Ops
Open-source framework with scalable automation

Differentiated Capabilities

A comprehensive portfolio of data engineering components, built on an accelerator framework that leverages open-source and cloud-native services to automate enterprise data platform deployment.
Automation & Infrastructure as Code
Modular & Component-Centric Approach
Continuous Quality and Observability

Recognized as a Leader in ISG Generative AI Services 2024 (Global)

Leader in Strategy, Consulting, Development, and Deployment Services.

Recognized as a Leader in ISG Advanced Analytics and AI Services 2024 (US & EU)

Leader in Data Science and AI Services, Data Modernization Services, Advanced BI and Reporting Modernization Services.