Engineering foundation
We don't just tell you what your AI roadmap should be. We have the engineering capability to build it.
Whitesoft began as a cloud and software engineering consultancy working across AWS, Microsoft Azure and Google Cloud. That experience in architecture, data, DevOps and security is what allows advisory work to become production systems, and it keeps our advice honest, because we will be the ones delivering it.
Cloud architecture and engineering
Design, migration, modernisation and management across AWS, Microsoft Azure and Google Cloud.
What it enables for AI: AI platforms that are secure, scalable and cost-controlled on whichever cloud you already run.
- Landing zones and environments
- Migration and modernisation
- Serverless and container platforms
- Cost management and FinOps
- Managed cloud operations
Software engineering
Full-stack application development, APIs and integration for web and mobile.
What it enables for AI: AI embedded in real applications and workflows rather than isolated demos.
- API design and integration
- Web and mobile applications
- Event-driven and workflow systems
- Legacy system integration
- Quality engineering and testing
Data and analytics
Data platforms, pipelines, analytics and governance.
What it enables for AI: The data foundation every AI use case depends on, built to be maintained.
- Data pipelines and ingestion
- Warehouses, lakehouses and semantic layers
- Analytics and reporting
- Data quality and governance
- Unstructured content preparation for AI
DevOps and platform engineering
Infrastructure as code, CI/CD, observability and reliability engineering.
What it enables for AI: AI systems that ship safely, repeatedly and with evaluation built into the pipeline.
- Infrastructure as code
- CI/CD and release automation
- Observability and alerting
- Evaluation pipelines for AI systems
- Site reliability practices
Cybersecurity
Security architecture, identity, controls and operational security.
What it enables for AI: AI systems that handle sensitive information with the controls regulators and customers expect.
- Identity and access management
- Security architecture reviews
- Cloud security posture
- Secrets, audit and logging
- AI-specific threat controls
Cloud platforms
AWS, Microsoft Azure and Google Cloud.
We design, migrate, modernise and manage across all three, and we recommend based on your existing estate, constraints and economics rather than any preference of our own. Naming the platforms describes where we work. It does not imply a partnership or certification.
Have an AI plan that needs engineering behind it?
Whether the plan is ours or someone else's, we can review it for feasibility, architecture and cost, then build it.