Building Resilient Digital Foundations for AI and GenAI Adoption
HCLTech Cognitive Infrastructure Services, a part of HCLTech AI Foundry, offers a holistic and meticulously crafted approach to enhancing AI and Generative AI capabilities. This hybrid infrastructure modernization offering includes consulting, assessment, building and managing AI workloads across private, hybrid and multicloud environments. This service suite is designed to cater to the diverse needs of enterprises by providing a range of solutions that ensure seamless integration and operation of AI technologies.
Our balanced approach of scaling AI and GenAI capabilities and robust ecosystem with advanced tools, technologies and partnerships helps enhance operational efficiency and drive innovation. The offering protects AI implementations with our robust cybersecurity measures and operates across private, hybrid and multicloud environments to meet specific enterprise needs.
Accelerating GenAI Adoption with a Diverse Solution Portfolio
HCLTech provides a comprehensive suite of services to help enterprises of all sizes overcome transformation challenges and accelerate GenAI adoption. From AI advisory and use case development to platform deployment and management, we guide organizations through every step of their AI journeys.
Our solutions enable seamless integration of GenAI at scale, with support for on-prem, cloud and hybrid infrastructures. With continuous optimization and security, HCLTech empowers businesses to drive innovation, enhance customer experiences and stay competitive in a rapidly evolving market.
- Understanding specific use cases and proposing optimal approaches and methodologies
- Analyzing existing capabilities and crafting transformation roadmaps toward a cognitive IT infrastructure
- Data engineering and consulting to build robust systems for data ingestion, collection, storage and analysis
- Constructing the tailored cognitive hybrid IT infrastructure as per specific use case or requirement
- Building and deploying an AI platform of choice that allows clients to adopt GenAI at scale and ensures optimal performance
- Deploying data engineering services, data platforms and automated pipelines to be consumed for the processes such as RAG, fine-tune, or pre-tune LLMs/AI models
- Integrating robust cybersecurity services that include security frameworks, LLM protection from unauthorized access and malicious attacks and data encryption to safeguard sensitive information
- Providing onsite/offsite support for the entire lifecycle management of cognitive infra
- System monitoring to check hybrid infrastructure components, detect anomalies and ensure optimal performance
- Continuous evaluation and monitoring of model health, accuracy, drift, bias and GenAI quality
- Managing AI platform to meet upcoming safety and transparency regulations and policies
- Providing valuable insights through the extracted data using advanced automated data pipelines
HCLTech U4X pay-per-use
- Compute as a service
- Storage as a service
- Backup as a service
- GPU as a service
OEM-specific models
- HPE GreenLake
- IBM Fusion HCI
- Dell Apex
Our Differentiators
Responsible and Ethical AI
HCLTech’s responsible and ethical AI practice ensures fairness, transparency and accountability and respects user privacy. It helps organizations operate within legal and ethical boundaries to build trust and promote inclusivity.
Optimized Infrastructure
Optimized IT infrastructure involves on-prem cost reduction, cloud resource efficiency and streamlined cloud migration for peak performance and minimal waste.
SmartOps
SmartOps leverages AI and automation to optimize operations, reduce costs, enhance efficiency and adapt for continuous improvement.
Driving Innovation
Generative AI transforms business operations by integrating advanced AI technologies, driving innovation and revolutionizing various sectors.
Cognitive Infrastructure-Powered Services: Empowering Enterprises with Resilient Digital Foundation
Hybrid FinOps
Our fully managed Hybrid FinOps offering equipped with AI/ML capabilities helps enterprises optimize their cloud footprint, focus on cloud unit economics and enable real-time decision-making. AI-enabled FinOps and advanced analytics help companies control cloud expenditures more effectively.
Infonomics
Our comprehensive Infonomics offerings use advanced AI to improve data protection, making it more flexible and customizable to your specific needs. These new capabilities powered by AI and GenAI enable you to protect your data with greater efficiency, accuracy and confidence.
HCLTech Cloud Application Reliability Engineering
The offering utilizes SRE, DevOps and agile principles to improve reliability and resiliency for modern operations. The advanced GenAI documentation management capabilities in HCLTech Cloud Application Reliability Engineering help unlock higher efficiency, faster root cause analysis (RCA) and a better pool of knowledge banks for enterprises.
Data Uplift
Gen AI-powered Data Uplift assists customers in automating complex tasks such as extracting insights and generating personalized recommendations by analyzing historical data from their data platforms. These AI-powered interactions enhance the customer experience and optimize overall operational efficiency.
EdgeLITy
The AI-powered EdgeLITy offering enables predictive maintenance for reducing downtime and saving costs as the custom ML models help to identify and alert you about potential anomalies in real time. It empowers optimized resource utilization based on real-time data, increasing efficiency and delivering significant cost savings.
DB Uplift
DB Uplift powered by GenAI enhances the customer database ecosystem by automating and optimizing several key aspects, ushering in a new era of intelligent database management. It enables you to make more informed decisions and maintain database performance at the highest level.
VelocITy
AI-enabled VelocITy integrates deep learning automation and AI/ML capabilities within its SDDC-based infrastructure, enhancing operational efficiencies. VelocITy migration automates infra scanning, dependency mapping, architecture optimization, code transformation, cloud provisioning and application deployment and ensures performance scalability and resilience.
Key Benefits
Enhanced efficiency
Cognitive Infrastructure Services optimize AI development workflows to enable quicker model training, validation and deployment, enhancing overall efficiency.
Scalability
We offer scalability options that enable organizations to scale their AI workloads seamlessly, accommodating growing data volumes and computational demands.
Improved data management
Improved data management capabilities, encompassing data integration, storage and governance, result in more valuable data-driven insights for organizations.
Accelerated innovation
We equip organizations with tools and resources that accelerate AI development cycles, fostering innovation and enabling you to maintain a competitive edge in dynamic markets.
Enhanced governance and compliance
Our commitment to adhering to regulations and industry standards ensures peace of mind regarding data privacy and security.
Cost savings
Our assistance enables organizations to reduce operational costs related to AI development and maintenance.
Partner Ecosystem
Resources
Frequently Asked Questions about Cognitive Infrastructure Services
HCLTech’s Cognitive Infrastructure Services deliver a holistic end-to-end capability to assess, build, deploy and manage AI/GenAI workloads across on-premises, private cloud and hybrid/multi-cloud environments. They encompass advisory, data engineering, infrastructure building, AI platform deployment, model monitoring and operational support.
Use cases include generative AI assistants, document processing (NLP), intelligent automation, code generation, predictive analytics, etc. Industries such as financial services, healthcare, manufacturing, retail and telecom are early adopters.
We offer flexible, pay-as-you-go models, including compute-as-a-service, storage-as-a-service, GPU-as-a-service, or bundled managed-service contracts tailored to client needs.
We monitor model health, drift, bias, retraining needs, versioning and deployment metrics. We also integrate alerting, automated retraining pipelines and governance to ensure models remain performant.
Through workload placement decisions, autoscaling, distributed inference, caching strategies and latency-aware deployment across edge, cloud and on-prem nodes.
Unlike traditional infrastructure services, Cognitive Infrastructure focuses on AI/GenAI workstreams including GPU/accelerator infrastructure, model pipelines, drift detection, LLM fine-tuning and AI governance. It blends infrastructure with ML/AI capabilities and governance at scale.
HCLTech embeds AI governance, fairness, transparency, privacy, model drift monitoring and explainability frameworks. It also integrates cybersecurity controls across data, model and infrastructure layers.
HCLTech partners with leading infrastructure and AI vendors (e.g., HPE, NVIDIA, major cloud providers, AI frameworks) to provide validated stacks and reference architectures.
Yes, we can integrate or modernize existing AI/ML investments, migrate models or data pipelines, replatform to scalable stacks and optimize cost and performance.
Faster time to value for AI, lower infrastructure complexity, scalable model operations, governed AI deployments and reduced TCO.