Add AI to Your Existing Software the Right Way
Clean, production-grade AI integrations that embed LLM capabilities into your current stack — without rebuilding everything from scratch.

What We Build
AI Integration Capabilities
Six integration patterns we deliver into existing production systems.
LLM API Integration
Production-ready integrations with OpenAI, Anthropic Claude, Google Gemini, and Mistral — with prompt management, token optimisation, retry logic, and cost controls.
Custom Model Serving
Deploying fine-tuned or open-source models (Llama, Mistral, Falcon) to your own infrastructure — full data privacy with no reliance on third-party API availability.
Retrieval-Augmented Generation
RAG pipelines using vector databases (Pinecone, Weaviate, pgvector) to ground LLM responses in your proprietary data — accurate answers without hallucination.
AI-Powered Search
Semantic search layers added to existing applications — replacing keyword matching with meaning-aware retrieval that surfaces the right result even with imprecise queries.
Agentic Workflows
Multi-step AI agents that plan, use tools, call APIs, and execute tasks autonomously — built on LangChain, LlamaIndex, or custom orchestration for complex workflow automation.
Streaming & Real-Time Responses
Server-sent events and WebSocket integrations that stream LLM responses token-by-token — delivering the fast, responsive experience users expect from modern AI products.
Project Deliverables
What's Included in Every AI Integration
- AI integration architecture design and API specification
- Production integration code with error handling and retry logic
- Prompt library with versioning and testing harness
- Vector database setup and embedding pipeline (if RAG)
- Cost monitoring and rate-limit management
- Security review: data handling, PII redaction, zero-retention config
- Integration documentation and maintenance guide
AI Integration FAQ
Common Questions
Ready to Embed AI Into Your Product?
Tell us what you want AI to do inside your existing system and we'll design the integration.
