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 (Canada)

For Canadian teams, we focus on practical privacy and security: least-privilege access, clear boundaries, and reviewable operational controls.

We can align implementation with SOC 2 / ISO-friendly practices (without claiming certification) and support documented data flows.

  • SOC 2 / ISO-friendly patterns (no certification claims)
  • Least-privilege access and secure session handling
  • Retention/deletion and export flows where required
  • PII-safe logging + access boundary documentation
  • NDA and vendor onboarding docs on request

Timezone & Collaboration (North America)

We work with Canadian teams with North America overlap and meeting windows that fit your schedule.

Delivery stays predictable via weekly milestones, async updates, and clearly documented decisions.

  • North America overlap and responsive communication
  • Async-first updates with written scope decisions
  • Weekly milestone demos and progress checkpoints
  • Clear escalation path for blockers
  • Tight change control with clear sign-offs

Engagement & Procurement (Canada)

We support procurement-friendly delivery: clear scope, change control, and billing cadence aligned to milestones when appropriate.

We can invoice in CAD for CAD-based engagements where required.

  • CAD-based engagements and invoicing options
  • Milestone-based billing and scope sign-offs
  • Time-and-materials for evolving requirements
  • Vendor onboarding pack on request
  • Optional paid discovery to de-risk delivery

Security & Quality (North America)

We keep quality visible: clean PRs, reviewable changes, and test coverage that matches the risk of each feature.

Performance budgets and release discipline help maintain stability as the product scales.

  • CI-friendly testing: unit + integration + smoke tests
  • Performance budgets + bundle checks
  • Structured release notes + rollback-safe deployments
  • Security checklist for auth, roles, and data flows
  • Observability hooks (logs + error tracking) ready for production
Ready to start?

Want to scope this properly?

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

Reply within 2 hours. No-pressure consultation.