Turn Your Data into Innovation and Revenue Growth
Our next-generation data engineering solutions help you move faster, think smarter and deliver more with your data. We enable enterprises to accelerate digital transformation and harness real-time data and advanced analytics to build data-centric products, adopt Industry 4.0 and tap into disruptive technologies.
As your trusted partner, we lay a robust data foundation with scalable, fast and reliable systems. Our data engineering services are designed to ensure every product, service and operation we support delivers maximum value for your business and your users.
Fast-track Your Data Modernization and Product Development
Our proven data engineering and AI/GenAI solutions simplify enterprise data modernization and accelerate value creation. That means you can get next-generation, data-centric products and services to market faster.
Secure Extension Gallery for Tableau
Take complete control of your Tableau extensions’ security and build approved extension galleries with trusted resource whitelisting.
Sports data analytics platform
Boost team and business performance with a single AI-enhanced platform and data ecosystem for your entire franchise.
HCLTech Graviton
Our data platform modernization framework helps you efficiently build, deploy, monitor and maintain agile, cost-efficient modern data platforms. It's ideal for data engineering and analytics initiatives.
HCLTech Cognitive Knowledge Assistant (CKA)
A one-stop solution for adopting GenAI. Pre-bundled with use cases like chatbot, code generation and summarization. This highly scalable system features a built-in knowledge graph and integrates with open-source and SaaS LLMs.
HCLTech Antares iDL
A modern data platform with integrated components for building scalable industrial data platforms using best-of-breed technologies. Designed for the cloud era by leading data engineering service providers.
HCLTech Data Genie
Generate synthetic data for structured and unstructured formats. Supports a range of data types — images, video, time-series and tabular data.
HCLTech Spotter DQV
Monitor data quality with our solution for detecting and correcting issues. Uses a standard framework-driven approach for efficiency and leverages advanced ML and DL models for outlier detection, data imputation and variance anomaly.
HCLTech Elements for Tableau
Enterprise-grade write-back and data annotation capabilities. Comment on and overwrite data directly inside dashboards to accelerate communication and improve decision speed and quality.
Geospatial intelligence and data monetization
Visualize user movements and extract value by generating insights for network optimization. Create monetized data products for new revenue streams.
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How We Can Help You Turn Your Data into Innovation and Revenue Growth
AI and ML services
- ML and NLP services
- MLOps
- Computer vision
- Deep learning
- Data visualization and augmented analytics
- Generative AI services
Data engineering consulting
- Data modernization roadmap
- Data engineering platform selection
- Analytics enablement
- AI strategy development
- AI/ML operationalization
Data modernization and migration
- Cloud data engineering services
- Modern data pipelines
- Cloud data migration services
- Data lakes
- Cloud data platforms
Data marketplace and governance
- Data exchanges and marketplaces
- Data quality and stewardship
- Data literacy
- Data cataloging
- Data mesh
DataOps
- Data platform maintenance
- Data observability platform
- Data pipelines support
- Data application support
Success Stories from Our Clients
AI-led video analytics platform to drive greater efficiency in monitoring operations
Streamlining ITSM with GenAI: Faster Onboarding, Smarter Support
Smart Analytics for a Global Industry Leader
AI-led identification of early signs of rust and corrosion across vast industrial surfaces
Accelerating InnovGenAI-Powered Sales Transformation: Smarter Search, Faster Enablement
Transforming High Performance Computing with AWS
What's Next in Data Engineering
The enterprise imperative: Addressing process challenges in the age of Agentic AI
The pre-built revolution: How modular GenAI solutions are redefining market fit
Accelerating product engineering in industrial and heavy engineering industries using AI
Reimagining Enterprise AI: How silicon-to-software collaboration is accelerating innovation
OT/IT Convergence: Enabling the next wave of innovation with Physical AI
Ready to Start Your Data Journey?
Let's turn your data into your next advantage. Reach out to our experts today.
Frequently Asked Questions about Our Data Engineering Solutions
At HCLTech, we bring decades of experience delivering scalable, high-performance data engineering solutions for global enterprises. Our proven frameworks, deep industry expertise and focus on business outcomes ensure your data initiatives drive innovation, efficiency and revenue growth. We are trusted partners, committed to accelerating your digital transformation with reliable, future-ready platforms.
We specialize in modernizing legacy systems through proven methodologies, cloud migration, and agile data platform frameworks like HCLTech Graviton. We assess your current environment, design tailored modernization roadmaps and implement scalable, cost-efficient solutions that support real-time analytics, AI adoption and future growth.
Data quality is core to our approach. With solutions like HCLTech Spotter DQV, we deploy advanced ML and DL models to monitor, detect and correct data issues. Our framework-driven processes and stewardship practices ensure clients’ data remains accurate, consistent and trustworthy for decision-making and compliance.
Yes, cloud migration is one of our core strengths. We offer end-to-end cloud data engineering services, including migration planning, execution and governance. Our experts ensure seamless transitions to modern cloud data platforms, minimizing risk and downtime while maximizing scalability, flexibility and cost-efficiency.
HCLTech provides comprehensive data governance and compliance solutions, including cloud data governance, data cataloging, quality stewardship and regulatory alignment. We help clients establish secure, auditable data environments that meet industry standards and regulatory requirements, ensuring data integrity and mitigating risks across their operations.
Absolutely. We offer comprehensive data engineering and AI services, covering everything from advanced analytics and data visualization to machine learning, NLP and generative AI. Our integrated approach ensures clients can unlock actionable insights, automate processes and build intelligent data-centric products that deliver measurable business value.
Yes, we excel at handling both structured and unstructured data, including images, video and time-series formats. Our solutions like HCLTech Data Genie and Antares iDL leverage best-of-breed technologies to process, organize and extract value from complex data sets, enabling clients to harness all their data sources for advanced analytics and AI.
We accelerate time-to-market by leveraging reusable frameworks, automation and agile methodologies. Our platforms, such as HCLTech Graviton and Cognitive Knowledge Assistant, streamline development, deployment and monitoring, allowing clients to launch data-driven products and services faster, while maintaining high quality and reliability.
We operationalize AI/ML models using robust MLOps practices, integrated monitoring and scalable deployment frameworks. Our team supports end-to-end lifecycle management, from model development to real-time integration, ensuring clients achieve consistent, reliable performance and rapid adoption of AI capabilities across their enterprise.
Yes, we design and implement enterprise-grade data exchanges and marketplaces. Our expertise covers data mesh, cataloging, monetization and secure sharing, enabling clients to unlock new revenue streams, foster data collaboration and drive innovation. Our solutions are scalable, customizable and fully aligned with enterprise governance needs.