ContainersData
Cloud, applications, and AI—clearly connected.
Explore planned product areas and engineering services. Product availability and supported integrations are confirmed during discovery.
Planned product area
UniSmart Cloud Platform
A product area for managing infrastructure and application workloads.
Review platform scope →Planned product family
UniSmart Enterprise AI
A product family for knowledge-grounded AI workflows and model access.
Review Enterprise AI scope →Engineering services
Platform Engineering & Managed Services
Build, secure, observe, and operate cloud-native platforms with support from UniSmart engineers.
Explore all services →Platform previews
Purpose-built software for complex operations.
From customer outreach to hospital workflows and cloud operations, these interfaces bring everyday work into one clear view.
UniSmart CRM
Sales & outreach
Unihealth
Healthcare administration
UniSmart Cloud
Cloud server operations
Hosting overview
Websites & operations
Website deployment
Setup & deployment status
Website themes
Template discovery
Developer access
Database services
Interface previews. Product availability and scope are confirmed separately.
Engineering capabilities
Build and operate the foundations behind your applications.
Explore the engineering areas covered by our current service pages.
Cloud & Hybrid Infrastructure
Modernize legacy infrastructure and build cloud, private-cloud and hybrid environments designed for scale, resilience and automation.
OutcomeFrom legacy infrastructure to modern platforms.
Learn more →Kubernetes Platform Engineering
Design, deploy, secure, upgrade and operate production Kubernetes platforms across cloud, on-premises and bare-metal environments.
OutcomeKubernetes engineered for production.
Learn more →AI Operations
Use AI to accelerate incident investigation, root-cause analysis, operational automation, deployment analysis and platform engineering.
OutcomeTurn telemetry into operational intelligence.
Learn more →AI & GPU Infrastructure
Build GPU and AI infrastructure for organizations running modern AI workloads.
OutcomeInfrastructure for the next generation of applications.
Learn more →Observability at Scale
Build unified metrics, logs and traces platforms using OpenTelemetry, Grafana, Mimir, Loki, Tempo, ClickHouse and other cloud-native technologies.
OutcomeSee what is happening across your entire platform.
Learn more →Security & Policy
Apply security policies using policy-as-code, secrets management, identity, network security and workload security practices.
OutcomeSecurity and governance built into the platform.
Learn more →Platform Automation
Turn infrastructure into software with Terraform, OpenTofu, Pulumi, Ansible, Crossplane and GitOps.
OutcomeInfrastructure as code. Operations as software.
Learn more →Managed SRE
Monitoring, incident response, cluster lifecycle management, security patching, upgrades, optimization, and platform operations. Coverage is agreed for each engagement.
OutcomePlatform operations scoped to your support needs.
Learn more →Engineering, not just consulting.
We don't simply install tools.
We design complete operational platforms.
Architecture
Infrastructure designed around your workload, scale and operational requirements.
Automation
Reduce manual operations through infrastructure-as-code, GitOps and platform automation.
Observability
Understand infrastructure, applications and services through unified telemetry.
Security
Build security and governance into the platform instead of adding it afterwards.
Reliability
Design for failure, recovery and continuous operation.
AI
Use AI to accelerate engineering and operations while keeping humans in control of critical changes.
How the work connects
From infrastructure to ongoing operations.
A practical path from infrastructure foundations to applications, AI workflows, and ongoing operations.
- 01
Run
Design the cloud, hybrid, or Kubernetes foundation for your workloads.
- 02
Extend
Plan how applications and AI workloads fit the environment you operate.
- 03
Connect knowledge
Explore retrieval patterns that connect approved knowledge sources to AI workflows.
- 04
Control model access
Evaluate model providers, policy, and data-flow requirements for AI access.
- 05
Operate
Use engineering or managed services for platform reliability, security, and ongoing operations.
Explore the planned Hybrid RAG Knowledge Engine and AI Gateway product areas.
Plan with confidence
Clear scope before commitments.
Review our engineering approach and technology context. We share client case studies under NDA and discuss security controls and service boundaries during scoping.
Let's engineer your platform.
Whether you are migrating from on-premises infrastructure, building a Kubernetes platform, redesigning observability, modernizing CI/CD or operating AI workloads, we can help design the platform around your requirements.
Tell us what you are running today.Tell us where you want to go.
We'll help design the path between them.