Turning a Fragmented Topic Into Five Usable Architecture Patterns
An architecture guide that organized the scattered field of disconnected edge AI into five named, comparable patterns engineers could design against.
Client: Actian
The brief
Actian wanted to reach engineers building AI for places where cloud connectivity cannot be assumed, like mining, offshore energy, manufacturing, and defense, and to establish authority on edge and offline-first data architecture.
The challenge
The relevant patterns were spread across separate industries and rarely named or compared. The article needed to connect those examples to the decisions an architect makes when cloud connectivity is unavailable.
The approach
Researched how inference and control run offline across those industries, then organized the findings into five patterns. Each pattern explains its constraints, trade-offs, and suitable environments.
The work
A long-form architecture guide on Actian's developer blog, structured so a reader can match their own connectivity and data-sovereignty constraints to a pattern.
The outcome
Published on Actian's developer blog, where it ranks number one in search for the "edge AI architecture" keyword.
What this demonstrates
Synthesis of a fragmented topic into an original, usable framework, and architecture-level technical writing for a specialist engineering audience.