How Valtair can help
Three ways in, depending on where you are. Underneath each one are the capabilities that deliver it, described as commercial outcomes rather than a technology catalogue, and delivered by the same team that builds and operates our own products.
Build a new AI product
You have a product to build, from first validation through launch.
MVP Development
For founders and companies validating an AI product opportunity with a working, evaluable MVP.
- Use-case validation
- Prototype architecture
- Model selection
- Working MVP
Product Engineering
For teams building complete AI-enabled products, from discovery through production monitoring.
- Product discovery
- Architecture
- UX and workflows
- Backend development
Add AI to what you have
You know the capability your product needs, and it has to be built properly.
RAG and Knowledge Systems
For products that must retrieve and reason over private or domain-specific information with citations.
- Ingestion pipelines
- Chunking and indexing
- Retrieval design
- Graph and vector retrieval
Agents and Automation
For multi-step workflows that require tool use, decision logic, and human approval.
- Agent architecture
- Tool integrations
- Workflow state
- Human approval
Voice AI
For inbound and outbound conversational systems with real telephony and CRM integration.
- Speech recognition
- Language-model orchestration
- Text-to-speech
- Telephony
Make it hold up in production
It works in a demo. Now it faces real users, real cost, and real load.
Backend and Platform Engineering
For AI systems that need reliable, multi-tenant infrastructure behind them.
- APIs
- Data pipelines
- Authentication
- Queues and background processing
Production AI
For companies moving beyond prototypes into monitored, cost-aware production.
- Model and prompt evaluation
- Cost and latency optimisation
- Guardrails
- Monitoring and failure handling
Not sure which fits?
Tell us what you are building and we will point you to the right engagement, or tell you honestly if it is not a fit.