The enterprise cloud built to launch and scale AI products
Xpecto Cloud designs, migrates and manages secure AWS and Azure environments, GPU infrastructure and private AI platforms, so your teams ship AI to production without running infrastructure.
4000+ projects delivered500+ clients servedBuilding since 2013Engineering team in Noida, IndiaCloud solutions for enterprise AI
From GPU infrastructure and private LLMs to migration, security and cost control, every solution is designed, delivered and run by one team. Scroll to explore.
AI Cloud Infrastructure
GPU and CPU infrastructure on AWS, Azure or private cloud for training and serving AI.
Generative AI and Private LLMs
Secure RAG, copilots and private LLM hosting inside your own cloud tenancy.
MLOps and AI Platform
Pipelines, model registry and CI/CD that take AI from notebook to production.
AWS Cloud
AWS landing zones, GPU and managed AI services, designed, migrated and run for you.
Microsoft Azure
Azure landing zones, GPU VMs and Azure OpenAI, designed, migrated and run for you.
Cloud Migration
Assess, plan and migrate applications and data to AWS or Azure without disruption.
Cloud Security and Compliance
Zero-trust identity, network and data protection that supports your audits.
Managed Cloud Services
Monitoring, patching, backup and support that run your cloud day to day.
FinOps and Cost Control
Visibility, budgets and right-sizing so AI innovation stays inside budget.
Backup and Disaster Recovery
Offsite backups and recovery plans with restores we actually test.
The AI cloud stack we run for you
Every layer of your AI product, designed and run for you
An AI product is more than a model. It needs governed data, GPU compute, a repeatable ML platform, secure serving and a foundation your security team trusts. We design all of it as one system and operate it so your teams can focus on the product.
- One accountable team from data to inference
- Infrastructure as code, so every environment is repeatable
- Security and cost controls built into each layer
From prototype to production, and beyond
Xpecto Cloud supports the full AI product lifecycle, from data to scale, on one secure, cost-controlled platform.
Data
Collect, clean and govern the data your models learn from.
Build
Develop and test models in secure, reproducible environments.
Train
Run training and fine-tuning on right-sized GPU capacity.
Deploy
Release models as scalable, low-latency inference APIs.
Monitor
Track accuracy, drift, latency, security and cost.
Scale
Add teams, regions and models on the same platform.
Which cloud setup fits your AI project?
Tell us what you are building and the scale you expect. We will point you to the right starting point, then an architect confirms it with you.
What are you building?
How much scale do you expect?
This is a guide. Our architects confirm the right setup with you in a free review.
Security built into every layer, not bolted on
AI products handle your most valuable data. We protect it with layered controls: strong identity, segmented networks, encryption, hardened workloads and continuous monitoring, designed to support your audits.
- Least-privilege identity with MFA and role reviews
- Private networking and segmented environments
- Encryption and key management for data and models
- Continuous posture checks and alerting
- Logging and evidence organised for audits
AWS, Azure, private VPS or dedicated GPU servers
Compare the main platforms side by side. We are platform-neutral and recommend what fits your workloads, data rules and budget.
| AWS | Microsoft Azure | Private VPS | Dedicated GPU servers | |
|---|---|---|---|---|
| Best for | Fast scaling and the widest service choice | Microsoft-centric enterprises and Azure OpenAI | Isolated APIs, staging and steady workloads | Large models, regulated and always-on workloads |
| AI services | SageMaker and Amazon Bedrock | Azure ML and Azure OpenAI Service | Self-managed open-source stacks | Self-hosted models and training |
| GPU access | On-demand and reserved GPU instances | On-demand and reserved GPU VMs | Limited | Reserved hardware for you |
| Data control | Strong, inside your account | Strong, inside your tenant | High | Highest, single tenant |
| Scaling | Minutes | Minutes | Resize or add servers | Add servers, planned |
| Cost model | Pay as you use, with commitments | Pay as you use, with commitments | Predictable monthly | Predictable, committed |
| Managed by Xpecto | Yes | Yes | Yes | Yes |
Read more: AWS, Azure, private VPS and dedicated GPU servers.
Move legacy and AI workloads to the cloud without downtime
Our migration approach is phased: discover, plan, build a landing zone, migrate and validate, then cut over with a rollback plan. Your business keeps running while the new environment is proven.
- Discovery and dependency mapping
- Secure landing zone built as code
- Data and workloads replicated
- Cutover with a rollback plan
- Optimised and monitored
Always watching, always within budget
Monitoring keeps your AI platform healthy, and FinOps guardrails keep spend predictable.
Illustrative status display. We monitor your real platform and alert our engineers when something changes.
Cost guardrails are part of the platform. Budgets, alerts and monthly reviews keep GPU and cloud spend visible, so AI innovation never becomes a surprise bill. See FinOps and cost control and managed cloud services.
What enterprise teams build on Xpecto Cloud
The AI workloads we host and operate for customers across industries.
Document intelligence
Extract, classify and summarise contracts, invoices and records at scale.
Customer-support copilots
Assistants that answer from your knowledge base, with approvals.
Enterprise search and RAG
Ask questions across internal documents and get cited answers.
Computer vision
Inspection, safety and analytics from images and video.
Forecasting and analytics
Demand, risk and revenue models on governed data.
Recommendation engines
Personalisation that runs reliably at peak load.
Fraud and risk detection
Low-latency scoring with strong audit trails.
Voice and conversational AI
Speech and chat agents on secure, scalable infrastructure.
Why enterprises choose Xpecto Cloud
Enterprise AI needs a partner that combines cloud engineering, security and software delivery.
One accountable team
Architecture, build, security and operations from the same engineers.
Cloud-native and private options
AWS, Azure, dedicated GPU servers or a hybrid, whichever fits your data.
Enterprise-grade security
Zero-trust design that supports your audits and data rules.
Built by software engineers
From the group that has delivered 4000+ projects since 2013.
Cost-controlled by design
FinOps guardrails so GPU and cloud spend stay predictable.
Local support in India
Engineers in Noida who work your time zone and pick up the phone.
Three ways to work with us
Start small with a review, or hand us the full platform. Either way you get named engineers and clear milestones.
Architecture review
We assess your AI workload, data and constraints and propose a plan.
- Workload and data assessment
- Reference architecture
- Security, cost and risk outline
Build and migrate
We build the platform and move your workloads with testing and rollback.
- Landing zone and platform build
- Migration and integration
- Security and performance testing
Operate and optimise
We run, secure and tune the platform as your AI products grow.
- Monitoring and incident response
- Security and FinOps reviews
- Monthly reporting and roadmap
Request a free AI cloud architecture review
Share your workload, timeline and cloud preference. An enterprise cloud architect will review it and come back with a recommended approach.
- Workload and data assessment
- Reference architecture and security approach
- Cost and risk outline
- No obligation
Enterprise AI cloud infrastructure in India
Xpecto Cloud is an enterprise cloud and AI infrastructure provider in Noida, India. We design GPU clusters, inference platforms, vector databases and private networks on AWS, Azure and dedicated GPU servers, and run them with monitoring, patching, backup and support. See AI cloud infrastructure.
Private LLM, generative AI and MLOps
Keep sensitive data inside your own environment with private generative AI and RAG built on Azure OpenAI Service, Amazon Bedrock or open models, and give your teams a governed MLOps platform for pipelines, a model registry and monitoring.
Cloud migration, security and cost control
Move legacy and AI workloads with cloud migration, protect them with zero-trust cloud security, keep spend predictable with FinOps and recover from incidents with disaster recovery. Enterprise Google Workspace and Microsoft 365 are available too.
Questions we hear often
Straight answers about enterprise AI cloud, migration, security and support.
Call supportPlanning an AI product? Let us design the cloud it runs on.
Talk to an enterprise cloud architect. We will review your workload and recommend a secure, cost-controlled path to production.