AI Integration
The LAN Network integrates AI into your existing products — not as a bolt-on feature, but as a governed capability with human oversight at every decision point. LLMs, RAG, agents, and vector search, built to production standards.
LLM Integration
Claude, GPT-4, Gemini, and open-source models wired into your product via structured APIs. Prompt engineering, system context, and output validation built in.
RAG Pipelines
Retrieval-Augmented Generation for knowledge-base chatbots, document Q&A, and search. Your data, your documents, your vector store — no data leaving your boundary without permission.
Agent Workflows
Multi-step AI workflows with tool use, memory, and human escalation. Built on PrecognitionOS governance principles — every agent action is auditable.
Vector Databases
Pinecone, Chroma, Weaviate, and pgvector setup, schema design, and embedding pipeline optimisation for semantic search at scale.
AI Safety & Guardrails
Output filtering, hallucination detection, confidence scoring, and human-in-the-loop gates for high-stakes decisions. We don't ship AI that can embarrass your brand.
Model Cost Optimisation
Right-sizing model selection, caching strategies, and token optimisation. AI features that scale economically, not just technically.
Governed AI — The TLN Difference
Most AI integrations ship fast and break slowly — hallucinations in production, costs spiralling, no audit trail. The LAN Network builds AI features the same way we build everything else: spec first, governed delivery, human sign-off before production.
We use PrecognitionOS internally for our own agent workflows — so when we build yours, we're applying the same governance patterns we trust with our own fleet.