Product engineering · Applied AI

Software for operations that actually run on it.

Aureza Labs builds mobile, web and platform applications — and multimodal AI systems that connect what happened with why it happened. Fifteen products shipped into warehouses, hospitals, plants and trading desks.

15 Products in production
10 Industries served
8 Disciplines in-house
Evidence-linked outputs
linetrace.aurezalabs.com/defect/48213
Defect 48213 · 14:32:07T−12s
Extruder 3 · temp deviation +6.4°CRANK 1
Tool change · 41 min priorRANK 2
Material lot 88-CRANK 3
PLC tagVideo · Batch · Operator aligned
9:41
Bin A-12SYNCED
240ON HAND
36QUEUED
Boards · Grade A148
Boards · Grade B62
Unclassified30
78% capacity14s ago
Works offline on the floor

Shipped across

Manufacturing, healthcare, logistics and freight, finance, warehousing, oil and gas, pharmaceutical, public infrastructure, recruitment, and Web3.

What we build

Eight disciplines, one team

Design, mobile, web, backend, data, AI, infrastructure and QA sit under one roof — so nothing gets lost in the handover between three agencies.

All services

01

Mobile Applications

Native-quality iOS and Android built for the field, the floor and the warehouse — including the parts with no signal.

  • React Native
  • Offline-first
  • Device hardware
02

Web Applications

Dashboards, portals and customer-facing product that stay fast as the data grows and accessible as the team does.

  • React
  • TypeScript
  • WCAG 2.2
03

AI-Powered Products

Vision, document intelligence and root-cause engines that ship with evidence attached, never a bare probability.

  • Multimodal
  • RAG
  • Evaluation
04

SaaS & Enterprise Platforms

Multi-tenant platforms with roles, billing, analytics and the integrations your operation already runs on.

  • Multi-tenant
  • SSO
  • Billing
05

Blockchain Applications

Wallet identity, encrypted messaging and on-chain records — used where they genuinely help, not as decoration.

  • EVM
  • Cryptography
  • Audited
06

Data & Analytics

Pipelines, warehouses and the reporting layer above them, built so the numbers reconcile with the source systems.

  • Pipelines
  • Warehouse
  • dbt

Also in-house: enterprise systems · API and system integrations · cloud and edge deployment · QA and release engineering. See how each works

How we think

Most systems tell you what happened. The useful ones tell you why.

A vision system that flags a defective unit has done a fraction of the job. The expensive question is what changed twelve seconds earlier — and answering it means putting video, telemetry, batch records and operator actions on one clock.

That principle runs through everything we ship. A number without its source is a liability, an alert without its evidence gets ignored, and a model that cannot show its working gets switched off within a quarter. So we build the evidence path first and the interface on top of it.

How we work, stage by stage

netcause.aurezalabs.com/incident/9042
Incident 9042 · storm11,204 ALARMS
CR-EDGE-14 · card failureEXPLAINS 94%
Fibre span 88 · degradationEXPLAINS 61%
Power feed B · brownoutEXPLAINS 22%
Unexplained alarms681
First hypothesis at 47s

NetCause · incident view Eleven thousand alarms reduced to three ranked hypotheses — each scored on how much of the observed alarm set it explains, and what it leaves unaccounted for.

Selected work

Recently shipped

Four of fifteen. Each case study covers the problem, the architecture, the stack and what actually changed.

Full portfolio

Live from our products

Numbers our software actually reports

Figures pulled from product dashboards rather than a marketing deck. Each one links to the case study behind it.
1,284SKUs live-tracked · Razor ERP
$2.41MPortfolio under analysis · Kilwa
11,204Alarms reduced to 3 causes · NetCause
21dAverage time-to-hire · The Walt

Evidence before interface

Every system we ship can show its working. If a claim cannot be traced to a source, it does not get rendered.

Built for the environment

Gloved hands, poor signal, steel racking, night shifts. We design for where the software actually runs.

You own everything

Source, infrastructure, documentation and the deployment pipeline. No retainer required to keep the lights on.

Start here

Tell us what you run.

A 30-minute call. We will tell you what we would build, roughly what it costs, and — usually the more useful part — what we would cut.