AI & Machine Learning
GPT-4o vs Claude 3.5 vs Gemini 1.5: Which LLM is Right for Your Enterprise?
A practical, unbiased comparison across cost, context window, accuracy, and compliance suitability for UK enterprise deployments.
Practical guides, deep dives, and industry perspectives from the OctoX team helping you navigate the AI landscape with confidence.
AI & Machine Learning
Traditional automation tools execute fixed instructions. Multi-agent AI systems think, adapt, and coordinate in real time. We explain how OctoX architected a five-agent system that reduced a client’s onboarding time from 14 days to 4 hours — and what it means for your business.
Read Article
AI & Machine Learning
A practical, unbiased comparison across cost, context window, accuracy, and compliance suitability for UK enterprise deployments.
Engineering
Step-by-step guide to building a retrieval-augmented generation pipeline that actually works at scale — chunking strategies, embedding selection, and latency optimisation.
Cloud & DevOps
Model drift, cold starts, and versioning headaches — how OctoX’s MLOps stack handles the messy reality of running many models simultaneously.
Industry Insights
Regulatory AI principles, explainability requirements, and practical patterns for building financial AI products that satisfy the FCA’s Consumer Duty.
Security
The attack vectors most AI vendors don’t talk about — and the architectural decisions that protect your AI deployments from day one.
AI & Machine Learning
Why 2026 is the year enterprises move beyond chatbots to AI agents that actually take actions — and what that means for your workforce and operations strategy.