Services
AI Engineering
Turn a promising AI idea into a service your team can deploy, measure and run.
01 — Scope
Build and evaluate useful AI systems.
When we can help
- A useful prototype needs a safe, repeatable path into production.
- Your team needs to measure answer quality, response times and running costs.
- An agent needs clear boundaries, access controls and human review.
- An existing product needs AI features that work with its data and operations.
What we do
- AI applications and LLM-powered product features
- Agents and workflows with tool access, approval steps and human review
- Search and retrieval systems that use your organisation’s data
- Automation for operational and engineering workflows
- Test datasets, quality checks, monitoring and running-cost analysis
- Model and provider selection based on quality, cost and deployment requirements
02 — Experience
Selected projects
Selected experience of the engineers behind Vio Engine, including work before the company was formed and through partner consultancies. Client names are withheld.
03 — Delivery
What your team can expect
- A deployment path with agreed quality checks and operational ownership
- Evaluation and monitoring your team can use to assess each change
- Usage and running-cost reporting to support model and deployment decisions
Platforms and tools
Chosen around your environment and requirements.
- OpenAI
- Anthropic Claude
- Google Gemini
- Open-weight models
- AWS DevOps Agent and Amazon Bedrock
- Agent frameworks
- Model Context Protocol (MCP)
- Vector and graph stores
- Python
- TypeScript
- AWS, Azure and Google Cloud AI services
Talk to Vio Engine
Tell us what you need to change, build or support.