Add AI features to your apps without rebuilding the stack
Chat, summarisation, classification, search, content generation. We integrate LLMs into the apps you already have, with the streaming, evaluation and fallback work production needs.
Integration is more than an API call.
A demo takes an afternoon. Production takes prompt management, response streaming, error handling, rate limits, cost controls, model fallbacks, and an interface that behaves when the model stalls.
Most teams underestimate that gap. The simple API call turns into weeks of edge cases, latency tuning, and output that changes shape without warning.
LLM APIs carry dozens of undocumented edge cases.
Prompts drift as models and source data change.
Latency and streaming shape the whole interface.
Token costs climb quietly without routing and caching.
Model choice and fallbacks need testing, not opinions.
Judging output quality at scale needs real evaluations.
How we integrate
We add AI to the application you already run — in your repo, behind your auth, on your infrastructure.
API integration
Production integration with OpenAI, Anthropic, Google and others. Timeouts, retries, streaming and fallbacks handled properly.
Feature development
The features users notice: intelligent search, drafting, summarisation, classification, and conversational interfaces.
Prompt engineering
Versioned prompts with test cases, so a wording change can be measured before it ever reaches your users.
Security & compliance
PII redaction, data-handling rules, content moderation and audit logging — designed in from day one, not retrofitted.
Cost optimisation
Caching, token trimming and model routing, so the cheapest model that passes your evaluations handles the request.
Multi-model support
One abstraction across providers, so moving between GPT-4, Claude, Gemini and open-weight models is a config change.
Every engagement includes
- LLM integration inside your existing apps.
- Streaming response handling and UX.
- Versioned prompts with a test harness.
- Multi-model support and fallback strategies.
- Cost optimisation and usage analytics.
- Security, compliance, and data handling.
- Performance monitoring and alerting.
- Ongoing support and model updates.
Ready to add AI to your apps?
A free 30-minute call to pick the first feature — then a free seven-day proof of concept if it looks worth building.