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 (UK/EU)

For UK teams, we default to GDPR-first thinking: data minimisation, purpose-limited storage, and clear access boundaries.

We can work under a DPA (template available on request) and implement practical retention/deletion flows when needed.

  • GDPR-first patterns (minimise, restrict, document)
  • DPA template available on request
  • Retention/deletion and export flows where required
  • Least-privilege access and secure session handling
  • PII-safe logging + secure-by-default configuration
  • NDA available for early-stage discussions

Timezone & Collaboration (UK/EU)

We align to UK time and EU overlap (GMT/BST with CET-friendly windows) for fast feedback cycles.

We keep the process lightweight: async updates, clear priorities, and written decisions to avoid ambiguity.

  • UK/EU overlap with GMT/BST windows
  • Async-first delivery with documented scope
  • Weekly milestones and structured demos
  • Clear escalation path for blockers
  • Tight change control with clear sign-offs

Engagement & Procurement (UK)

We support typical UK procurement flows with clear scopes, change control, and invoice cadence.

If you prefer a discovery-first engagement, we can run a short paid discovery to lock requirements before build.

  • GBP-based engagements and invoicing options
  • Discovery-first option to reduce delivery risk
  • Milestone-based billing when appropriate
  • Transparent change control and sign-offs
  • Vendor onboarding pack on request

Security & Quality (UK/EU)

We build for reliability and maintainability: clean PRs, tight review loops, and test coverage that matches risk.

Performance budgets and release checklists keep launches predictable—especially when multiple stakeholders review changes.

  • CI-friendly testing: unit + integration + smoke tests
  • Performance budgets + bundle checks (Core Web Vitals-minded)
  • Structured release notes and 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. GBP-based engagements.

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