AI-first product engineering
We build the platforms that run factories, warehouses, hospitals and campuses — and we advise the teams who operate them. Intelligence sits in the domain layer from the first sprint, because a model that isn't wired to the work is just an opinion.
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Aspire.Innovate.Reinvent.Empower.
One portfolio
Each structure here is a different product — and the colour it is drawn in is the colour it carries everywhere else on this page.
How we work
Not fourteen service lines. A product business, a consulting practice, and the programme that keeps both staffed.
01 · Platforms
Eight products built for operational work, deployed and configured to how you actually run — with ownership and licensing agreed per engagement.
02 · Consulting
IT and software strategy, cyber security across both IT and the plant network, and demand generation measured on pipeline.
03 · Academy
Three- and six-month programmes across full-stack, AI, cloud and security. Graduates ship real product work under senior review.
How it fits together
Every platform we build sits on the same spine. Signals come off the floor, survive the network, land in the domain layer where the intelligence lives, and come back out as something a person can act on inside their shift.
Platforms
Every platform carries its own colour through this page — on its rule, its label and its drawing. The drawing is of what the software actually does.
Manufacturing execution · MES
The system of record for what is happening on the floor. Plants, lines, stations and routes; work orders and WIP through every operation; two-way SAP sync; live OEE by line, shift and cause. The copilot reads telemetry and raises the maintenance call before the line stops.
Industrial IoT · Asset intelligence
The layer underneath everything else. Machines, PLCs, sensors and meters on one telemetry backbone over OPC-UA, Modbus and MQTT, with edge gateways that buffer through an outage and stream when it clears. Then condition monitoring, fault prediction and a live digital twin.
Quality management · QMS
Inspection enforced in-process rather than reconstructed afterwards. Defects captured at the station by operator or vision model, then routed to rework, scrap or concession with the decision recorded. NCR and CAPA, SPC that catches drift while it is still correctable, traceability from serial back to batch.
Warehouse management · WMS
Multi-warehouse, multi-tenant operations across inbound, putaway, storage, picking, despatch and returns. RFID and barcode throughout, wave and batch picking on optimised paths, cycle counting without closing the aisle. Slotting and replenishment decided against live demand. Runs on-premise where that is the requirement.
Hospital management · HMS
A multi-tenant hospital information system that scales from a single clinic to a network without changing platform. Registration, OP and IP flows, bed and theatre scheduling, electronic records, pharmacy, laboratory and radiology, billing and insurance claims. AI handles triage priority and practitioner scheduling; audit trail and consent are built in.
Human resources · HRMS
The whole employee lifecycle in one system: recruitment and onboarding, shift rosters and attendance from biometric or mobile capture, leave, payroll with Indian statutory compliance, performance and exit. Built for plants where the roster and the production schedule have to agree.
Education · School ERP
Multi-branch, multi-board administration on one tenant model. Admissions and enquiries, timetabling, attendance, examinations and report cards, fee collection with reconciliation, transport and hostel, library, and parent and staff apps. Each branch keeps its own calendar, board and fee structure while the trust sees everything.
Security engineering · OT & IT
Enterprise IT and the plant network are different problems. We segment them properly, and we work the OT side where a badly placed scan stops a line and an unsegmented network stops a business. Zero-trust identity, secure code review, ISO 27001, SOC 2 and DPDP readiness, incident response you have actually rehearsed.
Services
Each practice is run by engineers who have operated the systems they advise on — which is why the advice tends to arrive with a working answer attached.
For a platform that has outgrown its design, or a build that has stopped moving. We read the system honestly and leave you a route out.
Both sides of the fence — the corporate network and the plant floor, which fail in completely different ways.
Run by the same people who build the analytics, so reporting is wired to what happened rather than to what a dashboard will claim.
Line-of-business systems built to one company's process rather than to the average of a thousand.
Kubernetes, containerisation and infrastructure as code — with release pipelines that stop being an event.
Warehouses, pipelines and decision dashboards that read from the systems of record, not from somebody's export folder.
Industries
Shop floor, quality, maintenance
Distribution and 3PL
Hospitals, clinics, networks
Multi-branch schools and trusts
Distribution and stock control
About
AIREX Technologies is an AI-first product engineering company based in Madurai, Tamil Nadu. We build enterprise software end to end and consult on the decisions around it — what to modernise, what to secure, what to measure.
The team is small and senior, led by engineers with around two decades of shipping production systems. The person who designs your architecture is the person who builds it; there is no account-management layer between you and the work.
We are AI-first by conviction rather than by marketing. Intelligence goes where it changes an outcome — scheduling, detection, prediction, routing — and comes out again where it does not. A feature earns its place if it changes what an operator, planner or clinician does next; anything that only looks good in a walkthrough does not ship.
Everything we build is designed for the conditions these systems actually run in: gloves, glare, noise, intermittent networks, and plants where the link to head office drops for an afternoon and work has to continue anyway.
Contact
Or what is getting in the way. A short call is usually enough to say whether we are the right people for it — and we will tell you if we are not.