Case Study

MaintIQ — QR & AI Powered Industrial Maintenance Platform

MaintIQ is a QR and AI powered platform built to support industrial maintenance and design work. It lets technicians scan a QR code on a piece of equipment and immediately pull up structured documentation, signal flow diagrams and AI guided troubleshooting help, cutting out the guesswork that normally comes with diagnosing a complex electrical cabinet.

Promatics partnered with the MaintIQ client to build the MVP, using one demo facility and one demo electrical cabinet to prove out the core idea before it scales further, turning a detailed technical specification into working software.

Industry

Industrial Maintenance, Manufacturing Technology, AI & IoT

Client

Ivan Stesevic

Services

Web Application Development, AI Integration & QR-Based Asset Management

INGRESS:QR_SCAN

AI_DIAG:ONLINE

DATA_BUS:JSON_VALID

SYNTHESIS:POC_DEMO

The Challenge

maintiq_challenge_manifest.json

READONLY // RAW_DATA

MaintIQ needed a technology partner who could take a highly technical specification, built around a JSON model describing terminals, cables and functional connections, and turn it into a working web application. The platform had to support QR based equipment identification, a hierarchical facility to cabinet to device structure, and an AI reasoning layer built on the OpenAI API that could interpret that JSON model to explain signal flow and suggest troubleshooting steps. On top of that, the system needed to let authorized users generate entirely new cabinet designs from existing templates, with every AI generated output validated against the MaintIQ schema before it could be trusted.

Client's Expectations

REQ 01

MaintIQ JSON model or example Excel files (terminals, cables, connections)

REQ 02

Examples of signal path reasoning

REQ 03

Hierarchy rules & naming standards

REQ 04

Proof of concept for one facility, built to scale

REQ 05

Clear budgetary offer with pricing and timelines

MaintIQ_VALACTIVEFLOW_REQ_01

Promatics' Deliverables

DEV 01

Web application for technicians & admins

DEV 02

Backend API for facilities, cabinets & devices

DEV 03

QR scanning module

DEV 04

AI integration using the OpenAI API

DEV 05

JSON import, edit and export logic, plus a deployed demo environment

Prominent Features

MaintIQ brings together QR based identification, a structured data model and AI reasoning to turn equipment documentation into something technicians can actually use in the moment, not just refer back to later. Here are some of the standout capabilities.

01.INGEST

02.STRUCT

03.DOCS

04.FLOW

05.ASSIST

06.DIAG

07.GEN

08.MODEL

09.SAFETY

10.ACCESS

FEATURE 01 // INGRESS & SCANNING

QR-Based Equipment Identification

Every piece of equipment on the shop floor gets its own QR code, so a technician can scan it with a phone or tablet and land straight on the right cabinet or device. There is no more digging through folders or asking around for the correct wiring diagram. If a code does not map to anything in the system, the technician sees a clear error instead of a dead end.

STATUS: ACTIVE
DECODE: PASS
SYS_MODE: READ_ONLY

TRANSFORMATION REPORT

Outcome

The MaintIQ MVP brings QR-based equipment identification, structured documentation, signal-flow visualization and AI-powered troubleshooting into one platform. By connecting technicians directly to equipment information and providing AI assistance grounded in real cabinet data, the solution creates a practical foundation for faster diagnosis, improved access to technical information and AI-assisted industrial cabinet design.

[ KEY ACHIEVEMENTS ]

ACH-01 // MVP SCOPE

MVP scope and technical specification to be finalized with the client.

ACH-02 // AI DIAGNOSTICS

AI integration for troubleshooting and Q&A to be completed and tested.

ACH-03 // SCHEMA VALIDATION

AI based cabinet design generator to be validated against the MaintIQ schema.

ACH-04 // QR DISCOVERY

QR based identification and documentation viewer to be deployed to the demo facility.

ACH-05 // POC SCALE

Proof of concept to be delivered with a clear path to scale beyond the pilot facility.

[ IMPACT ]

IMP-01 // MVP PILOT

Impact to be added once the MVP is built and demonstrated on the pilot facility.

IMP-02 // TIME REDUCTION

Reduction in technician diagnosis time to be measured post deployment.

IMP-03 // CABINET SYNTHESIS

Time saved on new cabinet design work to be added once measured.

IMP-04 // KNOWLEDGE INGRESS

Improvement in how quickly technicians access equipment documentation to be added post launch.

IMP-05 // PLATFORM EXTENSION

Plans for scaling to additional facilities to be added once agreed with the client.

Software &
Technologies Used

Languages we have used to create app user friendly across multiple devices without compromising the speed.

Hire Us

Next.js

Building fast web applications, delivering seamless performance and scalable user experiences

Node.js

Powering scalable backend services with event-driven, non-blocking architecture.

SendGrid

Empowering flexible and scalable database solutions with document-oriented storage

OpenAI API

Powering data integrity, scaling performance effortlessly

AWS

Storing data securely, accessible anytime, effortlessly.

TypeScript

Strengthening JavaScript with types, enhancing scalability effortlessly

MongoDB

Authentication, real-time database, and cloud storage in your app development

RBAC

Enforcing structured access with role-based clarity and control

OpenAI Embeddings

Semantic search, intelligent recommendations, and contextual understanding with OpenAI Embeddings.

LangChain

AI-powered language processing, intelligent workflows, and seamless LLM integration in your app development.

QR Code Scanner SDK

Fast, accurate scanning, barcode recognition, and seamless integration in your app development.

Testimonials

Promatics understood the complexity of our industrial maintenance requirements and translated our technical specification into a practical MVP combining QR-based equipment access, structured cabinet data and AI-powered troubleshooting. The solution provides a strong foundation for validating our concept and scaling it to additional facilities.