Overview
EdgeLITy offers a seamless adoption of the IoT and enterprise workload by providing an end-to-end platform, encompassing the best practices of operations, security governance, network modernization, and process management. It enables enterprises to collect, connect, and cognize the data-on-demand for both ROBO and Edge locations. The solution leverages hybrid cloud functionalities, tools, and features to address the data locality, processing, and storage requirements. Packed with HCLTech IPs to accelerate the adoption and support life cycle, EdgeLITy helps enterprises achieve agile operations and faster deployment on the go.
EdgeLITy supports industry-leading hybrid cloud solutions:
Microsoft’s preferred partner for Azure stack hub, Edge, and HCI deployment and integration
- Joint solutions for data and AI, IoT, SAP, and DevOps integrated with Outposts
- Launch partner for AWS EKS-A
- Joint solutions for 10+ verticals
- Premier partner status with 2,200+ trained and certified resources
Strategic product engineering partnership with 2,000+ trained and certified resources recognized globally
- Joint launch partner for IoT-driven workloads
- Co-developed an appliance-based solution for smart manufacturing
- Strategic innovation partner for cloud, network, and compute
- Co-developed hybrid cloud architectures and blueprints
Preferred engineering partner with 500+ trained and certified Nutanix professionals
We ensure
Validated architecture
and automation
Integrated
management
Security
at core
Pluggable modules
powered by IoT WoRKS™
Vendor
agnostic
Smart multi-cloud
support
Flexible adoption
models
Scalable
infrastructure
HCLTech differentiators
Unified IT and OT platform management
Multiple deployment options
Customized dashboard
Extensive partner network
Multiple platforms support
Dedicated SME and skilled workforce
Dedicated state-of-the-art IoT collab labs
We offer
Assessment services
Build services
Manage and operate
Assessment services
- Business landscape/infrastructure/technology assessment
- Define business objectives and benefits for AI/ML models
- Infrastructure analysis
- Define target solution state, business value, and total cost of ownership
Build services
- Build Edge module
- Data ingestion, storage, and processing
- API development and integration
- Tools classification
- Infrastructure build
- Onboarding services
- Define process and policy
- Resource onboarding and training
Manage and operate
- Edge onboarding and registration
- Edge management
- Firmware updates/upgrades
- Data refinement
- Analytics and model management
- Steady state operations
- Process refinement
- Day 2 operations Edge modernization
- Cost-benefit evaluation
- Continuous service improvement
Industry use cases
Manufacturing, energy and utilities
- Improved overall equipment efficiency
- Dark asset data monetization
- Assisted maintenance and resource optimization with AR/VR
- Planned and predictive maintenance cycle
- Smart asset tracking to optimize inventory and logistics
Retail and finance
- Footfall analytics and store performance
- Connected remote sites intelligent processing
- Leaner infrastructure footprint for remote branches
- Personalized promotion and improved user experience
- Secured digital transactions and threat identification
Telecom and media
- Improved QOS for voice and data
- Private LTE/4G/5G for enterprises, ensuring ultra-reliable communication
- Architecture for cost-efficient network and bandwidth utilization
Life science and healthcare
- Powers innovation with high processing capabilities
- Advanced diagnostics and treatment, integrating various sources of information
- Connected medical devices enabling easy tracking and management
- Patient data-monitoring using connected devices at the Edge
Resources
