AI Skipped Small Businesses.
Large companies get AI through big tech - custom systems, consultants, and internal teams.
Consumers get AI through general-purpose tools like large language models.
Small businesses were left with a third option: the consulting model.
Agencies pitch solutions, quote projects, and disappear. The systems rarely fit how the business actually works - and they never evolve with it.
We kept seeing the same thing.
Small businesses doesn’t lack ambition or data.
They lack a system designed to observe them first.
Native exists to replace the consulting model entirely.
To replace consulting, you don’t need another tool.
You need a new layer.
The Missing Layer Between Businesses and AI
Conversations, decisions, follow-ups, and daily work - messy, human, and real.
Native observes how your business actually works - how you talk, decide, and follow up - instead of asking you to describe it.
From observation, Native builds models specific to your business - not generic workflows or one-off projects.
Models, agents, and automation live here - abstracted away so businesses don’t have to manage them.
The People Behind Native
Replacing the consulting model requires people who think in systems, not tools.
Core Philosophy
“Translating ambiguous human intent into rigid code structures.”
Focused on the long-term architecture of the Business Learning Model. Building the bridge between what a business wants to do and what it actually does.
Live System Operations
Shifted v2 model context window priority. Recall > Speed for now.
Evaluating how 'urgency' is implicitly signaled in varying team cultures.
Found that direct instruction works better than few-shot for this specific task extraction.