AI Engineering
From retrieval to autonomous agents, in production.
Production LLM applications: RAG over your enterprise content, multi-agent systems with human approval built in, and models fine-tuned where a general model falls short. Every release is gated on evaluation and guardrails.
- Enterprise RAG with hybrid search, reranking and cited answers
- Multi-agent workflows on LangGraph and CrewAI
- Fine-tuning open-weight models with LoRA and QLoRA
- Document and image understanding with vision models
Integration & API Architecture
One governed layer between every system you run.
API-led and event-driven integration on MuleSoft and modern cloud platforms. Each system is connected once, secured once and reused everywhere, so change stays contained and delivery speeds up.
- API strategy and MuleSoft platform setup
- Salesforce, ERP and legacy connectivity
- Event streaming and real-time sync
- Platform migration and modernisation
AI-Ready Integration
Where the two practices meet.
When AI needs to act on enterprise systems, we make that safe: integration platforms that expose governed tools to agents, and the cloud infrastructure AI workloads run on.
- MCP servers and typed, auditable tool calling
- MuleSoft Agent Fabric and AI gateways
- Secure data pipelines for RAG
- AI infrastructure on AWS, Azure and Google Cloud