Nazeem · Live Digital Twins

Live digital twins
made for your floor.

Maps your floor, captures every event live, and triggers the next action automatically.

The Problem

Your floor runs ahead
of your system.

Events happen on the floor. The system learns hours later. By the time you know, the damage is done.

4 hours later

Defect at the station, communicated after damage spreads.

End of shift

Recipe variance in a batch, spotted too late to correct.

Month-end

Receiving mismatch, reconciled long after the fact.

The Gap

Nothing syncs with your floor.

The systems you have weren't built for what actually happens between stations.

ERP

Records what gets typed in.

Days late. No action.

BI

Charts the past.

Static. Always behind.

RPA

Automates repetitive tasks.

Breaks with new cases.

WhatsApp

Runs the floor.

Reactive. Not proactive.

The Solution

Map → Capture → Act.
In seconds, not shifts.

Nazeem is the system that runs your floor as it happens — not the one that records it after.

01

Map

A model of your operation: stations, handoffs, relations.

02

Capture

Apps and AI agents capture events as they happen.

03

Act

The right person is notified before damage spreads.

The Interface

One twin underneath.
A different surface for each floor.

Mobile-first apps and conversational agents — built for operators, not analysts.

Nazeem mobile interface 1
Nazeem mobile interface 2
Nazeem mobile interface 3
Nazeem mobile interface 4
Nazeem mobile interface 5

Get Started

Start where it hurts most. Expand from there.

A staged engagement designed to prove value before you commit.

01 · Discovery

Free

Map your operations. Design a pilot. Leave with a tailored proposal.

02 · Pilot

$6k+ one-time

Refundable

Start with the highest-impact workflows. Prove ROI or get your money back.

03 · Expansion

from $1k/mo

Expand based on priorities. Each expansion pays for itself.

Free Discovery

Book free
discovery.

Identify the highest-impact starting point for your floor. 30 minutes, no commitment.

Book Discovery →