Softment
CloudData apps, ML applications, APIs

Technology

Google Cloud

Ship scalable apps on Google Cloud with Cloud Run, managed services, CI/CD, and observability designed for reliability and clean operations.

Best For

Ideal use cases

Applications with data analytics needs

Projects requiring machine learning services

Teams familiar with Google ecosystem

Applications needing global CDN

Projects with Kubernetes requirements

What We Build

Projects we deliver

Data analytics platforms

Machine learning applications

Kubernetes-based applications

Serverless applications

API backends

Data processing pipelines

Global web applications

Containerized microservices

Ecosystem

Compatible tools & integrations

Seamless Integrations

Works with your existing stack

8+ supported
Compute Engine for VMs
Cloud Run for serverless containers
Cloud Storage for object storage
Cloud SQL for managed databases
Cloud CDN for content delivery
Cloud Functions for serverless
Cloud Monitoring
Cloud IAM

Use Cases

Recommended use cases

Applications with data analytics requirements

Machine learning and AI applications

Kubernetes-based architectures

Applications leveraging Google's ML APIs

Global applications needing low latency

Delivery

How we deliver

We design GCP architectures leveraging Google's data and ML capabilities

Use Terraform or Deployment Manager for Infrastructure as Code

Implement proper IAM policies and security

Set up monitoring with Cloud Monitoring and Logging

Design for scalability and cost optimization

FAQ

Frequently asked questions

Choose GCP for data analytics, machine learning applications, Kubernetes workloads, or when leveraging Google's ML APIs. AWS has a larger service catalog overall.

We optimize GCP costs by using committed use discounts, right-sizing resources, implementing auto-scaling, using preemptible instances where appropriate, and monitoring with Cost Management.

Yes. We use GCP's ML services like Vertex AI, AutoML, and pre-trained APIs when appropriate. We also build custom models when needed using TensorFlow or other frameworks.

Regional

Delivery considerations for your region

Compliance & Data (US)

For US teams, we build with auditability in mind: clear access boundaries, least-privilege roles, and reviewable operational controls.

We can align delivery with SOC 2 / ISO-friendly practices (without claiming certification): evidence-ready logs, secure-by-default config, and clear ownership.

  • SOC 2 / ISO-friendly implementation patterns (no certification claims)
  • Least-privilege access and permission boundaries
  • Security review checklists for auth, payments, and data flows
  • PII-safe logging + incident response playbooks (on request)
  • Retention and deletion flows where required
  • NDA + vendor onboarding docs on request

Timezone & Collaboration (Americas)

We support teams across the Americas with meeting windows that work for EST/CST/MST/PST.

We keep delivery predictable with weekly milestones, concise async updates, and written decisions to reduce calendar load.

  • Americas overlap with EST/PST-friendly windows
  • Async-first updates with written decisions
  • Weekly milestone demos + change control
  • Fast turnaround on blockers and clarifications
  • Clear owner per workstream and escalation path

Engagement & Procurement (US)

US-friendly engagement structure: clear SOWs, milestone billing, and invoice cadence that fits typical procurement workflows.

If you need vendor onboarding artefacts, we can provide security posture summaries and delivery process documentation.

  • USD invoicing and milestone-based payment schedules
  • SOW + scope lock options for fixed-scope work
  • Time-and-materials for evolving requirements
  • Procurement-ready documentation on request
  • Optional paid discovery to de-risk delivery

Security & Quality (US)

We ship with a security-first checklist and performance budgets—so releases stay stable under real traffic.

Expect clean PRs, reviewable changes, and production-ready testing from day one.

  • Threat-aware checks for auth, roles, and sensitive data flows
  • CI-friendly testing: unit + integration + critical path smoke tests
  • Performance budgets (Core Web Vitals-minded) and bundle checks
  • Structured logging + error tracking hooks (Sentry-ready)
  • Rollback-safe releases and clear release notes
Ready to start?

Want to scope this properly?

Need GCP help? Share your workload and we’ll propose architecture + milestones that keep delivery predictable. USD-based engagements.

Reply within 2 hours. No-pressure consultation.