
Data Engineering Consulting
Maximize the value of your data to drive sustainable growth.
Turn Data Challenges into Competitive Advantages
Vast enterprise data often lies dormant due to a lack of comprehensive data engineering strategies that set a governance framework to enable and regulate data utilization, collection, management and consumption.
Starting with a thorough business or use case analysis, HCLTech develops a complete understanding of your data needs and technical underpinnings to create and execute strategic plans and solutions that address real opportunities and challenges.

Platforms and Frameworks Streamlining Data Engineering
Our proven platforms and frameworks simplify data engineering from implementation to maintenance to optimize data pipeline effectiveness and resilience and enhance all data-driven operations.
Graviton
Data platform modernization framework that enables enterprises to efficiently build, deploy, monitor and maintain agile and cost-efficient, modern data platforms.
AION
AI lifecycle management platform for applying machine learning to real-world problems. AION automates the complete data pipeline from raw dataset ingestion to deployable machine learning model with a low-code/no-code approach.
Antares iDL
Modern data platform with integrated components for building scalable industrial data platforms using best-of-breed technologies, designed for the cloud era.
We think these topics might interest you
Data Strategy Development at Any Scope
From end-to-end data modernization to process-level development, HCLTech offers services for optimizing data-driven operations at an enterprise scale to maximize the value you get from your data.
Data modernization roadmap
Combine offensive and defensive modernization to drive innovation with democratized data at scale and optimized cost.
Data engineering platform selection
Leverage the right technologies to create an agile, scalable stack to help build higher-value products and services faster. Leverage the right technologies to create an agile, scalable stack to help build higher-value products and services faster.
Analytics enablement
Democratize data and fine-tune analytics tools to user needs to promote collaborative insight discovery and impactful decisions.
AI strategy development
Use powerful automation to drive productivity and maximize the value of human input in analytics, development and decision-making.
AI/ML operationalization
Ensure reliability, security and ongoing performance when integrating AI/ML models into key processes.
Case Studies

Transforming asset inventory management with digitalized tracking and monitoring solution built on AWS
Maximize device utilization and efficiency with a unified inventory tracking solution that streamlines asset management, reduces errors and ensures accurate real-time visibility across operations.

AWS-powered smart tracking boosts productivity in healthcare
Implement Smart Material Tracking (SMT) on AWS to digitalize material handling, boost workforce efficiency and automate audits for improved accuracy and productivity in manufacturing operations.

Engineering a smarter data foundation for improving aircraft engine inspection efficiency
HCLTech's digital platform and product engineering powers multi-cloud data analytics. Enabling insights into engine’s usability status driven by data driven intelligence for an aerospace client.

Transforming lab operations with Smart Inventory Management Solution on AWS
Implementing an automated system for tracking and managing lab inventory, which provides real-time visibility into stock levels, ultimately optimizing lab operations.

Accelerating compliant innovation in drug-device documentation
Enhanced traceability, knowledge reuse and compliance outcomes for a global pharmaceutical

Seamless Windchill migration to AWS Cloud: Enhanced security and geographical resilience
A leading Sweden-based food manufacturer partnered with HCLTech to modernize its Optiva PLM by migrating from on-prem to AWS, enhancing security and identity management.
Trends and Insights

For enterprises balancing speed with responsibility, openness is now the clear path forward — a principle at the heart of the HCLTech–AMD partnership

The AI edge: Driving scalable innovation in manufacturing
Powered by AI and its subsets, including GenAI and Agentic AI, cloud and IIoT technologies, smart manufacturing is evolving fast

Organizations are embracing a future where autonomous agents act as digital colleagues, owning end-to-end workflows and running at scale in the cloud

Rethinking operating models for an AI-driven future
How can enterprises overhaul their operating models, across strategy, structure, culture and metrics, to become truly AI-led and customer-centric?

Implementing multiple agents in a multicloud ecosystem requires interoperability and orchestration

Enterprises must govern Agentic AI using guardrails like guardian agents and frameworks (OWASP, MITRE OCCULT) to ensure ethical, transparent and compliant autonomous behavior


Talk to our experts
See how you can accelerate your data modernization to drive innovation and revenue.