DEP.AI

Agent-driven data engineering at scale

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Modern data platforms are becoming more complex, and data engineering must keep up with the speed and scale enterprises need.

DEP.AI, Nagarro’s agent-based data engineering accelerator, uses autonomous AI agents to build, operate, and optimize data pipelines across the entire lifecycle - from ingestion and schema management to data quality and transformation.

DEP.AI is cloud agnostic, integrating and running seamlessly on the platform of your choice. By adapting instantly to change, enforcing quality, and continuously optimizing performance, DEP.AI helps enterprises scale faster, improve performance, control costs, and strengthen trust in their data. It enables consistent reporting, data-driven insights, and a resilient foundation for AI initiatives.

why DEP.AI?

Accelerated migration

Simplifies migration from legacy ETL tools and data platforms through AI-driven pipeline understanding - reducing migration effort, risk, and timelines.

Faster time-to-value

Accelerates the journey from raw data to AI-ready insights through automated ingestion, transformation, and analytics preparation.

Self-healing and KTLO automation

Automatically detects pipeline failures, identifies root causes, and triggers recovery actions to reduce operational overhead and improve reliability.

Lower data platform costs

Up to 40% cost savings across the data engineering cycle with optimized infrastructure usage, automation, and pipeline efficiency.

Scales with growth

Designed to support growing data volumes, domains, and teams without linear increases in engineering effort or complexity.

Enterprise ready by design

Built-in governance, security, and compliance ensure the data is trusted, auditable, and production-ready from day one.

How DEP.AI empowers enterprise-scale transformation

Platform features

Adaptive and agentic ecosystem

AI agents that monitor, adapt, and optimize data pipelines in real time, automatically handling failures, changes, and performance issues.

Low-code, accelerated development

Low-code, visual workflows and reusable components enable faster development, testing, and iteration of data pipelines.

Cloud-agnostic, multi-cloud architecture

A single codebase that runs seamlessly across AWS, Azure, GCP, Databricks, Snowflake, and hybrid environments without vendor lock-in.

Data mesh enablement

Supports decentralized data ownership and self-serve infrastructure while maintaining consistency through federated governance.

Domain-centric data models

Pre-built, industry-aligned data models for BFSI, Manufacturing, and Retail that accelerate analytics readiness and business use case adoption.

AI-driven data governance

Built-in AI-driven lineage, masking, and cataloging ensure data security, compliance, and trust by design.

featured success story

Modernizing Data Quality with LLM‑Powered Autonomous Agents

Transform your data quality management with AI-driven autonomous agents, enhancing accuracy, governance, and scalability for a future-ready data ecosystem.

read success story

Higher efficiency & productivity through a unified data platform

Nagarro built a unified data platform that delivered higher efficiency, productivity, increased collaboration, and data standardization.