PRIVATE · LOCAL-FIRST · HYBRID

Private AI for business that can actually join the work—not just live in another chat tab.

INTIGNAI combines private workspace context, local and approved hosted intelligence, durable operating memory, and governed execution so a business can choose where AI runs and what it is allowed to do.

THE OPERATING PROBLEM

Privacy is part of the architecture, but the operating problem is larger: useful context, runtime choice, durable memory, and authority all need separate boundaries.

Useful business AI needs more than a private chat window

The model needs approved company context, roles, current work, durable decisions, and a path to real tools—without making every source or integration equally trusted.

All-local and all-cloud are both incomplete answers

Different work benefits from different runtimes. Some context belongs local, some workloads need stronger hosted models, and some actions should not run anywhere without an explicit decision.

Ownership matters after the first demo

A business needs exportable history, understandable boundaries, portable deployment choices, and the ability to change models or infrastructure without rebuilding its operating memory from zero.

CONTROL BEFORE AUTONOMY

Start with one workflow and decide what must stay local, what may use approved cloud intelligence, and what requires a human gate.

Keep private context where it belongs

Use local or private infrastructure for selected data and workloads while allowing approved external models only where the operating policy permits them.

Route each job deliberately

Choose a local, hosted, or hybrid runtime based on privacy, latency, capability, cost, and availability instead of hard-wiring the business to one model provider.

Govern real-world actions separately

The assistant may understand broad business context while sends, purchases, deletions, publishing, infrastructure changes, and other consequences remain independently controlled.

VERIFY IT

Map one business workflow across privacy, intelligence, memory, and authority.

Use a sanitized workflow you already run. The First Proof will show the proposed AI preparation, human checkpoint, blocked boundary, expected evidence, and next safe move before you create an account.

Build the free private-AI First Proof