Pilot
For teams proving fit on live drawing sets
This page is intentionally hidden while packaging is being finalized. Today, TabPro AI pricing is shaped by drawing volume, reviewer workflow needs, and how far you want the platform to carry data from takeoff into delivery.
The cleanest way to package TabPro AI is around operational value: how much manual counting, reviewer effort, and downstream rebuilding the platform removes from a team.
Driver
How many drawing sets, sheets, and active projects your team processes each month.
Driver
How many people need split-view QA, correction tools, and source-linked review before delivery.
Driver
Whether you need takeoff only, project setup continuity, or downstream reporting workflows as well.
You do not need final numbers yet. You need the right packaging logic so future pricing feels deliberate instead of improvised.
Pilot
For teams proving fit on live drawing sets
Team
For firms standardizing estimating and review
Enterprise
For multi-team rollout and deeper workflow coverage
That is the right move. Build the page now so the structure, tone, and buying story are ready. Keep it out of nav, out of the sitemap, and out of search until you decide what is fixed-price, what is volume-based, and what is onboarding-led.
Now
Private route, noindex, no public pricing promises.
Next
Finalize packaging names, value metrics, and pilot terms.
Later
Expose the route in nav and add it to the sitemap when ready.