01 / On-premise
Client Data Centre
All platform layers run inside the client's infrastructure.
- Strict residency mandates
- Client-controlled compute and storage
- DR to secondary site
- Ideal for regulated workloads
Cloud infrastructure for regulated enterprises.
Cloudlit designs, builds and runs cloud and AI infrastructure for banks, government and enterprises, combining cloud architecture, DevOps automation, Red Hat OpenShift and 24×7 managed operations.
- Partners
- Ingram Micro
- wAI Industries
Selected clients & engagements
Trusted where infrastructure has to perform.
Cloudlit supports banks, government organizations and technology companies across production cloud, container and AI infrastructure environments.
Bank AL Habib
- wAI Industries
- Teammates.ai
- PointDuty
Selected engagements from Cloudlit's portfolio
Why Cloudlit
From cloud strategy to production operations.
We do not stop at advice. We design, deploy, secure and operate the platform, then hand it over so your team can run it without depending on us.
- 01
Delivery ownership
We design, deploy, validate and operate, not just produce architecture slides.
- 02
Regulated-workload experience
Cloud and AI platforms designed around residency, auditability, security and operational controls.
- 03
Multi-cloud depth
AWS, Azure, Google Cloud, Kubernetes and Red Hat OpenShift across public, private and hybrid environments.
- 04
Embedded engineering
Named engineers work alongside your infrastructure and security teams, including inside your perimeter.
Solution portfolio
Six capabilities. One team owns the platform.
Each solution maps to a production outcome, from cloud foundations to SLA-backed operations.
01 / Modernize & scale
Cloud Strategy, Migration & Landing Zones
Vendor-neutral cloud strategy, zero-downtime migration and governed AWS, Azure and Google Cloud foundations delivered as code.
Explore Cloud Strategy →02 / Run containers safelyRed Hat OpenShift & Kubernetes
Certified Red Hat partner delivery: production container platforms with GitOps, service mesh, secure supply chain and 24×7 operations.
Explore OpenShift & Kubernetes →03 / Build & deploy fasterDevOps, Platform Automation & DevSecOps
CI/CD pipelines, infrastructure as code, GitOps and security gates that cut release cycles from weeks to minutes without losing control.
Explore DevOps & Automation →04 / Become AI-readyAI & GPU Infrastructure
Governed GPU capacity, model serving, MLOps, data pipelines and vector infrastructure inside your perimeter, from pilot to regulated production.
Explore AI Infrastructure →05 / Protect critical systemsCloud Security, Compliance & Resilience
Zero-trust identity, encryption with client-held keys, segmentation, SIEM integration, vulnerability management and tested disaster recovery.
Explore Security & Resilience →06 / Reduce operational loadManaged Operations, Observability & SLA
24×7 L1–L3 operations, full-stack observability, incident response, patching, capacity reviews and monthly service reporting.
Explore Managed Support →Forward Deployed Engineering
Engineers embedded in your environment, accountable through production.
Forward deployed engineers work inside your tools, data and workflows from day one, alongside your team. No ramp-up cycles, no generic playbooks and no handoffs between discovery and delivery.
01
AI platforms
GPU node pools, model serving, registries and vector stores inside your perimeter.
FDEForward deployed engineering & managed operationsOne team across the full stack
Embedded from day one
Engineers work inside your environment, aligned to your culture and constraints, eliminating ramp-up time and the friction of consultants who never touch production.
Value that compounds
Each engagement captures reusable pipelines, runbooks and infrastructure patterns, so what we build in one environment strengthens the next.
Accountable beyond go-live
We operate what we build alongside your most critical workloads, with ongoing support, tuning and scaling. Ownership does not end at go-live.
- 1–2 wks
- To first working prototype
- 24×7
- Operations after go-live
- 1 team
- From discovery to operations
How an engagement runs
The same engineers from discovery to scale.
- 01Discover & align
We map use cases, constraints and success metrics with your stakeholders to define what production-ready looks like for your business.
- 02Build in your environment
Parallel workstreams inside your cloud, data and CI/CD tooling deliver working prototypes in as little as one to two weeks, with real-time decisions instead of change-order cycles.
- 03Deploy & integrate
We integrate with your existing platforms, security controls and operations processes, so systems meet compliance and reliability requirements from the start.
- 04Operate & scale
After go-live we maintain, improve and scale workloads as requirements evolve, staying accountable for performance and measurable results.
Markets we serve
Where reliability, security and speed matter at the same time.
Banking & Financial Services
AI platforms on bank infrastructure, cloud governance, disaster recovery and secure core-banking integration.
Government & Public SectorData sovereignty, audit trails, regulated hosting and secure digital services.
AI Product CompaniesGPU/CPU platforms, model serving, MLOps and production scaling on AWS, Azure or OpenShift.
Telecom & UtilitiesPlatform modernization, automation and customer-facing systems at scale.
Healthcare & InsuranceSecure data platforms, compliance-aligned environments and SLA-backed operations.
Enterprise & RetailApplication modernization, observability, analytics platforms and managed operations.
Reference architecture
A controlled platform from edge to core systems.
Customer data, models, prompts and logs remain inside the client-controlled perimeter. Deployment follows workload classification, and the controls stay the same wherever the workload runs.
Designed for controlled, observable production environments
Deployment models
One architecture. Three ways to deploy it.
02 / Private cloud
Single-Tenant Cloud
Approved-region infrastructure with isolated resources and private connectivity.
- Hardware isolation
- Client-held keys
- Private circuit
- No public path
03 / Hybrid
Cloud + On-Premise
Elastic front ends in cloud while sensitive data, AI and core systems remain controlled.
- Elastic application tier
- PII stays inside perimeter
- Private connectivity
- Classification-driven placement
Security & operations
Controls built into the platform, not added after it.
- Identity & Privileged Access
SSO, MFA, RBAC and privileged access controls.
- Encryption & Key Custody
Keys held in your KMS or HSM, not by Cloudlit.
- Network Segmentation
Zone-based controls and controlled egress.
- Workload Security
Image scanning, signed images and admission policies.
- Logging & SIEM
Immutable platform, access and model audit logs.
- Vulnerability Management
Continuous scanning and severity-based patch SLAs.
Service targets
99.9%Availability target
4 hrsRecovery time objective
15 minRecovery point objective
15 minP1 response, 24×7
72 hrsCritical patch window
Projects & case studies
Where Cloudlit reaches production.
Selected engagements across banking, AI products and regulated enterprise infrastructure.
Banking
AI platform inside a commercial bank's perimeter.
A commercial bank in Pakistan had a working AI pilot on hosted infrastructure and an approved business case, but production was blocked by risk, compliance and infrastructure. Cloudlit designed, built and operates the cloud and on-premise platform the bank's AI services run on, inside the bank's own perimeter.
Explore case study →AI Workforce · AWSProduction-grade multi-region AWS platform.
A multi-region AWS platform for Teammates.ai covering infrastructure as code, automated pipelines, containers, security, GPU workloads, observability and disaster recovery.
Explore case study →Start with the workload that matters
Bring us your hardest infrastructure problem.
Start with a discovery workshop. Move to a controlled PoC. Then build and operate the production platform with your team.