What we deliver
LLM Integration
GPT-4o, Claude, Gemini, and open-source models wired cleanly into your product — with streaming, caching, and fallback logic.
RAG Pipelines
Retrieval-augmented generation systems that let your AI answer questions grounded in your own documents and data.
Agentic Systems
Multi-step AI agents that plan, call tools, and complete complex workflows autonomously — with human-in-the-loop controls.
Vector Search
Embedding pipelines and vector database integration (Pinecone, pgvector) for semantic search and recommendation at scale.
Fine-Tuning & Evaluation
Custom model fine-tuning and rigorous evals to ensure your AI behaves reliably in production.
AI Safety & Compliance
Output filtering, PII redaction, audit logging, and guardrails that keep your AI deployment compliant and trustworthy.
How we work
Use-Case Audit
We identify the highest-value AI opportunities in your product and prioritise by impact and feasibility.
Prototype & Eval
A working prototype with baseline evals so you see real performance — not promises — before we build.
Production Build
Hardened, observable, cost-efficient AI systems with rate limiting, caching, and fallback strategies.
Monitor & Iterate
Post-launch monitoring of latency, cost, and output quality with a clear iteration roadmap.