Our Core Business-Driven Capabilities
Cloud compliance standards we follow
SOC 2
ISO 27001
GDPR
CCPA
HIPAA
(Health Workloads)
NIST CSF
Cybersecurity Framework
CIS Benchmarks
Secure Configuration
CSA STAR
Cloud Security Alliance
Well-Architected
AWS, Azure & GCP Frameworks
PCI DSS
(Payment Workloads)
Apps designed for a single server rarely survive their first traffic spike. We build cloud-native applications on containers and managed services, with stateless APIs, autoscaling groups, and event-driven components that grow with demand. Health checks, structured logging, and tracing ship with the first release, so your team sees problems before customers report them, and scaling becomes a configuration change instead of a rewrite.
Mobile users expect their data on every device, even on a weak connection. Our cloud mobile app development covers iOS and Android apps backed by managed APIs, offline-first sync, push notifications, and secure authentication through Cognito, Firebase Auth, or Azure AD B2C. The backend scales independently of app releases, so a feature launch or marketing campaign does not take your login service down.
Multi-tenancy decides your margins long before it decides your features. We design tenant isolation models (pooled, siloed, or hybrid), per-tenant metering, subscription billing, and role-based access that holds up in enterprise security reviews. Tenant onboarding is automated end to end, so adding a customer becomes a workflow for your ops team, not an engineering ticket.
Lift-and-shift often moves your problems to someone else's data center and adds a monthly bill. We assess each application and choose the right path: rehost, replatform, or refactor into microservices. Data migration runs with validation checks and rollback plans, and cutovers are scheduled around your business calendar, so modernization happens without a weekend of downtime.
Paying for idle servers is one of the most common sources of cloud waste. We build serverless backends on AWS Lambda, Azure Functions, and Google Cloud Run, connected through queues and event buses for workloads that spike unpredictably. You pay for execution time rather than reserved capacity, and each function deploys independently, which shortens release cycles for small teams.
A cloud platform without automated delivery slowly drifts into a collection of hand-configured servers. We set up CI/CD pipelines, infrastructure as code, automated security scanning, and monitoring dashboards with alerts that reach the right engineer. After launch, our team handles patching, cost reviews, and performance tuning, so your developers ship features instead of firefighting infrastructure.
Years in Business
IT Professionals
Clients Worldwide
Projects Executed
Founders building B2B software need enterprise readiness earlier than they expect. We deliver SaaS platforms with SSO, audit logs, tenant-level data controls, and usage-based billing, so security questionnaires from larger customers become a sales asset during procurement rather than a reason a deal stalls.
Internal tools often live on aging servers with no clear owner and no tested backups. We rebuild ERP extensions, employee portals, and reporting systems as cloud applications with directory-based access, centralized logging, and automated backups, giving IT teams one place to manage permissions and spend.
Reports that depend on overnight batch jobs slow every decision downstream. We build cloud data platforms with streaming ingestion, warehouses on Snowflake, BigQuery, or Redshift, and governed dashboards, so operations, finance, and product teams work from the same numbers at the same time.
Large device fleets reporting every few seconds will overwhelm a traditional backend. We build IoT cloud platforms on AWS IoT Core or Azure IoT Hub with device provisioning, telemetry pipelines, remote commands, and alerting that scales with your installed base instead of against it.
Adding AI to a cloud app means managing model costs, latency, and data privacy together. Alongside our AI development services, we integrate LLM APIs, retrieval pipelines, and model hosting on SageMaker, Microsoft Foundry, or Vertex AI, with usage controls that keep inference spend predictable.
Some workloads must stay on-premises for regulatory or latency reasons. We design hybrid and multi-cloud architectures with consistent identity, networking, and deployment tooling across environments, reducing vendor lock-in without doubling the operational overhead your team carries every day.
Workload Assessment
We review your current applications, traffic patterns, data residency needs, and compliance scope, then deliver an architecture proposal with provider choice, estimated running cost, and a phased delivery plan.
Architecture & Landing Zone
Our architects set up accounts, network boundaries, identity policies, encryption, and logging through infrastructure as code, so every environment starts secure and identical to the last one.
Build & Integration
We build in short sprints with working software at the end of each one, wiring in managed databases, queues, third-party APIs, and CI/CD pipelines that deploy on every merge.
Load & Security Testing
We run load tests against production-like environments, chaos tests on failover paths, and automated security scans, so autoscaling and recovery are proven before launch rather than assumed.
Launch & Cloud Operations
We cut over with staged traffic shifting, then monitor uptime, patch dependencies, and review spend regularly, because most cloud cost and reliability issues appear only after real users arrive.
Plenty of cloud apps are technically sound and financially painful. We model running costs during architecture, pick instance types and storage tiers deliberately, and set budget alerts before launch. Reserved capacity, autoscaling limits, and data transfer paths are reviewed as part of design, so the monthly invoice matches the forecast your finance team approved.
We hold ISO/IEC 27001 and SOC 2 Type II certifications, and the same discipline shapes how we build for clients. Access policies, encryption settings, and network rules are written as code, reviewed like code, and scanned on every change. That makes misconfigurations visible in a pull request instead of in an incident report.
Managed services save time, but every proprietary dependency is a future switching cost. We document those trade-offs openly, use portable tooling like Kubernetes and Terraform where it makes sense, and keep your data in formats you can move. You decide how much lock-in is worth the convenience, with the costs laid out in front of you.
Launch is when cloud workloads start behaving unpredictably. Our team stays on for monitoring, incident response, patching, and cost reviews, and hands over runbooks your engineers can follow. You get one accountable partner from architecture through operations, not a vendor who disappears once the go-live email is sent.
Yes. Xicom builds cloud MVPs on managed services so you can launch quickly without committing to heavy infrastructure. We scope the smallest feature set that proves demand, deploy it with production-grade security and monitoring, and design the architecture so it can scale into a full platform without a rebuild.
A cloud app development company designs, builds, and runs applications on platforms like AWS, Azure, and Google Cloud. That covers architecture, cloud-native development, legacy migration, DevOps automation, security configuration, and ongoing operations. Xicom handles the full lifecycle, from mobile apps to multi-tenant SaaS backends.
Cost depends on application complexity, the number of integrations, the cloud services involved, compliance requirements, and team composition. Running costs matter too, because architecture choices shape your monthly cloud bill for years. Share your requirements and we will provide a build estimate alongside a projected running cost.
Timelines depend on scope. A focused MVP on managed services moves faster than a multi-tenant platform or a legacy migration with data validation and phased cutovers. Compliance reviews and third-party integrations also affect the schedule. We share a detailed timeline after the workload assessment.
We build on AWS, Microsoft Azure, and Google Cloud, and design hybrid setups when some workloads must stay on-premises. Provider choice depends on your existing contracts, data residency rules, team skills, and the managed services your product needs most.
Security is set up through infrastructure as code: least-privilege identity policies, encryption at rest and in transit, private networking, and centralized logging. Every change is scanned for misconfigurations before deployment, and we align controls with SOC 2, ISO 27001, GDPR, and HIPAA where they apply to your workload.
Yes. We assess each application and recommend rehosting, replatforming, or refactoring based on its business value and technical debt. Data migration includes validation and rollback plans, and cutovers are staged to keep downtime minimal. Integrations with your existing ERP, CRM, or identity systems are mapped before anything moves.
We model running costs during design, apply resource tagging and budget alerts, rightsize instances after launch, and review spend with you on a regular schedule. Serverless and autoscaling are used where traffic is unpredictable, and reserved capacity where it is steady, so you pay for what you actually use.
Xicom offers three models: Fixed Price for well-defined projects with a clear scope, Time & Material for evolving builds and migrations, and Dedicated Team for ongoing platform development or managed cloud operations. We help you choose the model that fits your project stage and budget structure.
Yes. Post-launch support covers monitoring and alerting, incident response, security patching, dependency updates, performance tuning, and regular cost reviews. We also hand over runbooks and documentation, so your internal team can take over operations whenever you are ready.