Dr. Alistair Vance leads AI Systems Architecture at Aurevion AI. With a PhD in Distributed Systems from ETH Zürich and over 14 years architecting fault-tolerant infrastructure, Alistair specializes in air-gapped private vector meshes, in-VPC model execution, and deterministic LLM guardrails for enterprise banking and life sciences.
A practical guide to eliminating generative hallucinations using constrained decoding, cross-encoder reranking, ground-truth evaluation, and deterministic JSON schemas.
Should your enterprise fine-tune an open-source LLM or build a Retrieval-Augmented Generation pipeline? An architectural decision framework factoring data velocity, cost, and hallucination risk.
Step-by-step engineering blueprint for deploying a private vector mesh over confidential enterprise documents with strict role-based access control and zero cloud data leakage.
How to safely deploy generative AI under strict GDPR and Swiss FADP regulations: cross-border transfer restrictions, zero-retention DPAs, and localized EEA vector enclaves.
Should your internal engineering team build your AI infrastructure from scratch, buy off-the-shelf SaaS, or partner with a specialized studio? An architectural evaluation.