Your AI App Works in a Demo. It Won't Survive Real Traffic.
Vibe-coded AI apps are great for proving an idea. But production means rate limits, API costs, failure handling, multi-tenancy, and audit trails. We build all of that for you.
Your AI MVP works in demos. Let's build the version that survives real users.
What We Do
Observability & Monitoring
We instrument your AI app with structured logging, error tracking, and real-time alerting — so you know when something breaks before your users do.
LLM Cost Optimisation
Uncontrolled OpenAI or Claude API usage can bankrupt an early-stage product. We add caching layers, prompt optimisation, and usage budgets.
Retry Logic & Failover
AI APIs fail. We implement proper retry strategies, fallback models, and graceful degradation so your app stays functional during outages.
Multi-Tenancy & Auth
Add proper user isolation, workspace/org data separation, and role-based access control that AI tools skip entirely.
Scalable Data Architecture
Replace improvised data storage with proper schemas, vector database integration, and query patterns that hold up under load.
CI/CD & Release Management
Automated pipelines, staging environments, and release strategies so you can ship updates safely without breaking production.
Frequently Asked Questions
What kinds of AI apps do you productionise?
How much can LLM cost optimisation actually save?
Do I need to rewrite the application to productionise it?
Can you help us switch LLM providers or models?
Book a free technical call
Describe your project and we will tell you exactly what needs fixing, how long it takes, and what it costs — no commitment required.
Engineers, not generalists.
Every engagement is handled by senior engineers who have shipped production software at scale — not consultants who advise.