AI Integration ThatActually Solves Problems
We integrate large language models, intelligent automation, and AI-powered features into your web products — delivering real business value, not just impressive demos. From RAG pipelines to custom chatbots, we build AI that works in production.
AI Capabilities
LLM Integration
Connect OpenAI GPT-4o, Anthropic Claude, Google Gemini, or open-source models to your web application.
AI Chatbots & Assistants
Custom chatbots trained on your data — for customer support, lead qualification, or internal tools.
RAG Pipelines
Retrieval-Augmented Generation: give your AI access to your documents, database, or knowledge base.
AI-Powered Search
Semantic search that understands user intent, not just keywords.
Content & Copy Generation
Automated content workflows for product descriptions, summaries, and personalised copy.
Document Processing
Extract, classify, and summarise information from PDFs, invoices, contracts, and emails.
Recommendation Engines
Personalised product, content, or action recommendations based on user behaviour.
Workflow Automation
AI-powered automation for repetitive business processes — data entry, categorisation, routing.
Our Approach to AI
We take a pragmatic approach to AI integration. Before recommending any AI feature, we ask: does this solve a real problem, or is it AI for AI's sake? The best AI features are invisible — they make your product faster, smarter, and more useful without adding complexity for the user.
We work with all major LLM providers — OpenAI, Anthropic, Google Gemini — and can help you choose the right model for your use case based on capability, cost, latency, and data privacy requirements. For clients with sensitive data, we can integrate local or self-hosted models.
Every AI integration we build includes proper error handling, cost monitoring, rate limiting, and fallback behaviour — because AI APIs fail, hallucinate, and return unexpected results. Production AI needs production engineering.
Have an AI Idea? Let's Talk.
We'll help you figure out what's feasible, what it would cost, and how to do it properly.
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