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We map goals, users, hardware, and constraints : then define an architecture every discipline can execute against.

Mazix Studios
Mazix Studios · Lahore
AI Systems Engineer
Mazix Studios designs and runs the full system: spatial products, the models that guide them, and the cloud they depend on.
Running in the market
Production platforms Mazix designs for and deploys against. Quest, Gemini, Whisper, AWS, and Google Cloud are part of the operating stack.
§01The company
Mazix is hired to own a system, not to decorate a slide. Each practice below is a line of delivery, staffed and run as part of the same company.
01
Headset, glasses, and camera systems that understand a real room and guide the person in it.
02
One system from the camera and the model through to the API, the web review screen, and the cloud.
03
A live language model in the loop of a real task, not a chat window off to the side.
04
A vision-language model that looks at a frame from the work and says what step it is.
05
Peripheral cameras on the bench, connected over the local network, feeding the session.
06
Speech in, a generated next step, speech back out, while the person stays on the task.
07
The same product on real cloud: video, accounts, and model calls, not a laptop demo.
§02Where it lands
Spatial computing and XR sit beside the industries that need them: clinics, plants, classrooms, yards, and teams that cannot afford a wrong step.
Headsets, glasses, tracking, and cameras pointed at real work.
Procedure practice and training video a clinician can repeat safely.
Build, maintenance, and QA with a record of the step that happened.
Hands-on vehicle work in VR, from surface finish to assembly checks.
Controlled environments when a study needs the same task every time.
Learning by doing: a skill, a walkthrough, a score against the standard.
Field procedures where the next step has to be right the first time.
Guidance and checks for people moving work across a floor or a site.
Bench cameras, review desks, and a trail of what the model called.
Spaces people enter: calm rooms, play, and pieces with a clear mood.
Device, model, and cloud in one first release, without four vendors.
Auth, audit, and a cloud that sits beside the tools you already run.
§04How it works
We map goals, users, hardware, and constraints : then define an architecture every discipline can execute against.
Parallel workstreams across XR, AI, and cloud with shared milestones, reviews, and demos you can show stakeholders.
Hardening, deployment, documentation, and iteration : so the system keeps improving after the first release.
§07Technology
We choose tools for reliability and fit, then integrate them into one coherent architecture your team can own.
§09Partner with us
Tell us about your product, timeline, and stack. We'll respond with a clear path: scope, architecture, and how Mazix owns delivery end to end.
Typical reply within 1–2 business days · NDA-friendly discovery