Cloud & Data Center
Your workloads should run where they fit best — private cloud, colo, edge, or multi-cloud — and someone should own the whole picture. We make that someone us.
AI-ready cloud platforms, colocation, multi-cloud management, edge compute and disaster recovery designed as a unified estate. Hybrid by architecture, not by accident — with backup and resilience built in rather than retrofitted.
Products in this family
Each capability is delivered as a managed service. Select one to scope a solution or request a quote.
AI Cloud Platform
A cloud purpose-built for AI workloads — GPUs with high-speed interconnects, data paths tuned for large datasets, and autoscaling inference endpoints that take models from training to production without rebuilding the stack. No retrofitting a web cloud to run ML.
Learn moreEnterprise Cloud
Multi-tenant cloud with right-sized compute, tiered storage, and in-region data residency that keeps your data where it should be. RBAC, private VLANs, and audit logging built in — so you get enterprise controls without the hyperscaler SKU maze or a bill you cannot read.
Learn moreData Center Colocation
Tier III/IV colocation with redundant power, carrier-neutral meet-me rooms, and direct cloud on-ramps — your hardware in a facility built for uptime, not the office under the AC. 100% SLA on facility services backed by access controls and compliance-ready operations.
Learn moreMulti-Cloud Management
One control plane across on-prem, private cloud, and public clouds — cost, posture, and policy in one view. No more console-hopping or vendor finger-pointing when something goes wrong between AWS, Azure, and your own data centre.
Learn moreEdge
Compute and content delivery placed where your users and devices actually are — stores, factories, remote sites — for latency under 10ms. Runs local processing during a link outage and syncs back when the core connects. One policy for hundreds of locations.
Learn moreCompute, Storage & Managed Kubernetes
The building blocks your applications actually need — flexible VMs, block/object/file storage, managed databases, and a Kubernetes control plane we operate so you deploy containers. All wired together with consistent networking and one observability layer, so you build software instead of babysitting infrastructure.
Learn moreBackup & Disaster Recovery
Policy-driven backups with cross-region copies, app-consistent snapshots, and recovery runbooks tested on a schedule. RPO/RTO defined per workload tier and proven through drills — turning DR from a document into a capability you can measure.
Learn moreCloud Consulting
Provider-neutral cloud strategy and business case — what to move, what to keep, and what it costs, written for the people who sign the cheque. TCO modelling with assumptions shown, a risk-rated roadmap, and recommendations based on fit, not resale margin.
Learn moreCloud Migration & Modernization
Wave-based migration where each workload lands in the right state — lifted, replatformed, or refactored by evidence, not ideology. Rollback per wave, FinOps from day one, and an operating model established before the estate touches down.
Learn moreCloud Managed Services
24x7 managed cloud operations across AWS, Azure, and GCP — monitoring, incident response, patching, and FinOps under one SLA. Your engineers build product while an accountable team keeps the lights on and the bill sane.
Learn moreCloud Implementation
Hands-on build of cloud foundations — Infrastructure as Code (Terraform, Bicep, CDK), VPC/VLAN segmentation, private connectivity, SSO/MFA. The running environment is the design: auditable, reproducible, and not dependent on one person's memory.
Learn moreDisaster Recovery
RPO/RTO-defined disaster recovery with cross-region replication, automated failover runbooks, and scheduled drills that prove the plan works. Workloads tiered by business tolerance so critical systems get fast recovery without paying premium for everything.
Learn moreDevOps
CI/CD pipelines, Infrastructure as Code, testing gates, and ephemeral environments that turn quarterly-release fire drills into frequent, reversible, boring deployments. Speed and safety rise together.
Learn moreWhat a Cloud & Data Center engagement covers
Platform and landing zones
Account structure, network topology, identity, guardrails and cost allocation designed before the first production workload lands.
Compute and Kubernetes
Virtual machines, containers and managed Kubernetes clusters sized to workload profiles rather than to a default instance family.
Colocation and interconnect
Rack space where workloads must stay on dedicated hardware, cross-connected to your carriers and cloud on-ramps under one operational model.
Backup and recovery
Backup policy matching each system's recovery point and recovery time objectives, with restores tested on a schedule instead of assumed.
FinOps in the operating model
Tagging, budget alerts, anomaly detection and a monthly cost review that turns billing data into decisions you can act on.
The operating model behind the technology
Assessment before migration
Dependencies, latency sensitivity and licensing are documented first, because the workloads that should not move are as important as the ones that should.
Landing zone as code
Networks, policies and guardrails are defined in Terraform so an environment can be rebuilt, reviewed and audited rather than reconstructed from memory.
Move in waves
Migration is sequenced by dependency and risk, with the pilot wave chosen to prove the pattern before business-critical systems are touched.
Day-2 operations included
Patching, capacity, backup verification, incident response and cost governance run as a managed service after cutover, not as a separate negotiation.
Questions buyers actually ask
Will moving to cloud actually reduce our cost?
Sometimes, and not automatically. Lifting and shifting an inefficient estate usually costs more. Savings come from right-sizing, storage lifecycle policy and removing what nobody uses, which we work through with your billing data.
Can we keep some systems on our own hardware?
Yes. Colocation and private cloud remain sensible for latency-sensitive, licensed or regulated workloads. We design a hybrid estate deliberately rather than treating on-premise as a failure.
Who owns the cloud account?
You do, in almost every case. Your account, your data, your billing relationship with the provider, with our access scoped through roles we can hand back on request.
How do you handle data residency?
Regions are selected against your obligations, and workloads that must stay in India are placed in Indian regions with the network and key management designed around that constraint.
What happens at the end of the contract?
Exit is documented from the start: infrastructure as code in your repository, credentials you control, and a written handover procedure if you decide to run it yourself or move elsewhere.
Need a solution tailored to your environment?
Our solutions architects will scope the right product mix for your infrastructure, timeline and budget — no obligation.