Cell Engineering & Cell Structure Design — A Perfect Match

How to enable big-scale AI-driven Organizations

We keep getting this wrong. The world of organizations is still obsessed with hierarchy, with legacy structures designed for control rather than value. The truth is, we already know how to do better. It just requires a shift — a subtle but profound one.

The “Cell” Paradigm

A first outcome of our exploration is the notion of “Cells,” our unique term for self-contained micro-services and micro-frontends. Each Cell handles a specific set of functionalities — whether they’re backend services or user-facing UI components — while remaining independently deployable and scalable. Our broader environment further connects these Cells via a Data Mesh (for shared data accessibility and governance) foundation to our Enterprise Process Orchestration (for seamless workflow coordination across services).

Why Cells? (And What About Token Limits?)

One of the key reasons for dividing applications into smaller Cells is the token limit challenge often encountered with large language models. When working with AI for code generation, feeding a massive, monolithic codebase into a model quickly exceeds that model’s capacity to process and respond…