How it works

From your data to proof on a phone — in four moves.

AI chat is fluid and forgettable. We're the opposite: we start from your data and end with proof you can query.

01 · Context

We learn your world — and what it means.

Your data becomes entities and properties: a Customer, a Location, a Work Order, an Equipment unit — with real parent/child relationships and your own business keys.

Every field also carries its essence — a plain-language note on what it means and what it's for. That's the difference between software that stores your data and one that understands it. It's what lets a workflow — and an AI — reason about your business instead of guessing.

Data Studio — import a CSV or Excel and auto-build the entity, live-sync an on-prem SQL Server, query as real SQL, or browse and edit any entity

Bring your data in — a spreadsheet, a live database, or the API — then browse and edit it

02 · Workflows

We build what the field needs to do — and make it aware.

Author the process once: the steps, the questions, the photos, the signature. Because it's tied to your context, every step knows the customer, the equipment, and the job — and adapts. Parallel paths let the tech choose the order while every required leg is still guaranteed; loops handle one-to-a-hundred units of equipment in a single flow. Real process, not a flat form.

03 · Rich messaging

We deliver it to a phone.

The workflow rides out as a rich, tappable conversation — cards, carousels, buttons, photos — over RCS, Apple Messages for Business, or WhatsApp. No app to install, nothing to teach, even for a one-day subcontractor.

Here's a real one: a skin-care quiz running as rich carousels right inside a WhatsApp thread — image choices, branching questions, a captured answer at every tap.

A real skin-care quiz running as rich carousel cards inside a WhatsApp thread

Real WhatsApp thread — a quiz as rich cards

04 · AI capture

People speak naturally — you get structured data.

The payoff. Instead of forcing someone through fields, let them just talk — a voice note, a rambling text, photos with captions — and the AI extracts properly-typed answers and fills step after step, through the exact same validation a typed reply gets. What it's owed but hasn't got yet — a photo of the blower motor — it tracks as a debt and won't let the run finish until it's captured. Conversational to do; structured to keep.

The whole idea

Let people just talk. Capture exactly the data — and the proof — you need.

The ease of a conversation with the rigor of a form. That's the difference between an AI that chats and a platform that runs your business.

Go deeper

Three pages worth your next ten minutes.

The data story

See it on your own data this afternoon.

Point your AI at /mcp or open the builder, and publish your first workflow to a real phone.

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