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A rugged handheld syncing alone on wet industrial ground

Target offline jobs

Target sync success

Mobile Build

Field Operations App

iOS and Android for the people working away from a desk, built to keep going when the connection drops and to reconcile cleanly the moment it comes back.

Timeline

12 wks

Industry

Field Services and Logistics

Service used

Mobile Build, Backend Integration Work

Challenge

The people doing the work are nowhere near a desk, and the signal drops exactly where the job is

(nai™ — the problem)

The people doing the work are nowhere near a desk, and coverage disappears exactly where the job is, so anything that assumes a live connection fails at the only moment it is needed.

Field App Walkthrough

0:10 sec film

(nai™ — solution)

Building an app for the worst signal the job will ever see


Coverage disappears exactly where the work is: a basement, a plant room, a site an hour past the last mast. Anything that assumes a live connection stops being useful at the one moment it was needed.

So the device holds the truth first, and the server hears about it later.

React Native gives one codebase across iOS and Android, and underneath it a local database is the real store. Jobs, forms, photos and signatures are written there and read from there whether or not there is a network, and a sync engine moves the queue to a Node service the moment a connection appears.

Everything difficult about an offline app is in the reconciliation, not the UI:

  • a write queue that survives a force quit

  • conflict rules written per field, not globally

  • photos uploaded apart from the record itself

  • a job that can be finished twice without harm


Conflicts are a data decision taken before any code is written. For every field there is a rule about which side wins and what happens to the version that loses, and the rule that discards information quietly is never the one chosen.

The server side matters as much. Sync endpoints are idempotent, every write arrives with an identifier the device generated, and a phone that retries the same batch four times on a bad connection produces one record rather than four duplicates to unpick.

Testing happens on the network the job actually has: flight mode, one bar, and the worst case of all, a connection that answers slowly instead of failing, which is the one that leaves half a request behind it.

What ships is an app that behaves the same in a basement as it does in the office, and a back office that can see, device by device, what has synced and what has not.

A rugged handheld syncing alone on wet industrial ground

(nai™ — Technology Stacks)

Next.js
React
Python
Postgres
Shopify

(nai™ — our commitment)

A field app is judged on the worst signal it will ever see, not the best. We build it to finish the job offline and reconcile without losing anything.

The Nukes AI mark

Nukes AI

Delivery commitment

Two chairs across a table with one line of light between them

(nai™ — 15)

Work with us

Book a
free call

We build AI that changes how your work runs —
not how the demo looks.

We’ll map how your
workflows run, show
where AI pays off,
and leave you
with a clear plan.

No prep needed — we’ll steer the conversation and keep it on what matters.

A portrait of one of the senior engineers on the team
A portrait of one of the senior engineers on the team
A portrait of one of the senior engineers on the team
A portrait of one of the senior engineers on the team

4 practices

7+ yrs

minimum, every engineer