AR/VR Experiences
Immersive tech earns its keep when it solves a specific problem — showing a product in a customer’s room, training a dangerous procedure safely, walking a site that is not built yet. We start from the job, then pick the lightest technology that does it.
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Trusted by teams across education, retail, and services
{ 01 } — Immersive process
A job to do, then the technology.
We start from the outcome — sell more, train faster, decide earlier — and choose the lightest immersive tech that achieves it. Nobody’s KPI is “wore a headset”.
Define the job
- Use-case & outcome framing
- Metric agreed up front — conversion, training time, decision speed
- Device & platform choice — web first
- Content & 3D asset audit — CAD, scans, photos
- Performance budget set before modeling starts
Build
- 3D modeling, retopology & optimization
- AR / VR interaction design
- Web-based 3D — open a link, no install
- Performance tuning against the budget
- Analytics events wired into the experience
Deploy
- Device rollout or web launch
- Usage analytics & funnel tracking
- Content update tooling for your team
- Training & assessment scoring where relevant
- Iteration on real use, not launch applause
Headsets impress in demos and gather dust in drawers. Where possible we ship web-based AR and 3D — open a link, point the camera, done — and reserve headsets for training scenarios that truly need them.
The craft is mostly invisible: taking a heavyweight CAD file and making it load on a mid-range phone in seconds. Retopology, texture baking, levels of detail, compressed formats — a performance budget set before modeling starts, because an experience that stutters gets closed and never reopened.
Every experience ships with analytics, so you know it is being used and what it changed — sessions, completions, the step where people leave — not just that it wowed the launch meeting. The metric is agreed before we build; the report is part of the deliverable.
{ 03 } — What we build
Immersion with a purpose.
AR product visualization
Furniture in the room, machine on the floor — true scale, from a link.
VR training simulations
Dangerous or expensive procedures practiced safely and repeatedly.
Interactive 3D configurators
Spin, customize, and price complex products on web and mobile.
Virtual walkthroughs
Sites, campuses, and unbuilt spaces toured from anywhere.
Guided AR workflows
Assembly, maintenance, and inspection steps pinned to the machine itself — hands free, manual closed.
WebXR & 3D web experiences
Product stories and spaces that run in the browser — no app store between your customer and the experience.
{ 04 } — The immersive stack
From CAD file to phone screen.
Web-first by default, native where tracking demands it — and a 3D asset pipeline that treats file size as a feature.
{ 05 } — Ways to engage
Start with one job, prove it, then scale.
Proof-of-value pilot
One use case, one product or procedure, 4–6 weeks — ends with a working experience, real usage data, and a scale-or-stop decision.
- One use case, clearly bounded
- Metric agreed before the build
- Usage data, not launch applause
Full experience build
From asset pipeline to rollout — visualization, training, or configurator — with the content tooling your team needs to keep it current.
- 3D pipeline set up from your CAD
- Analytics wired in from day one
- Content update tooling included
Content & iteration retainer
Ongoing capacity after launch — new SKUs modeled, training modules extended, and the experience tuned on what the analytics say.
- New models and scenes on cadence
- Iteration driven by usage data
- Performance budget held over time
{ 06 } — Use cases
Immersive work that earns its budget.
We build AR/VR where flat screens genuinely fall short — not demos for the sake of demos.
Dangerous, expensive, or rare procedures practised safely — factory lines, medical steps, equipment handling.
Furniture in the room, machinery on the floor, buildings on the plot — at true scale, before purchase.
One space, every SKU configured live — for products too large or too custom to demo physically.
Step-by-step overlays for assembly, maintenance, and inspection — hands stay free, the manual stays closed.
Unbuilt spaces sold, campuses toured, layouts approved — from anywhere, before the concrete.
Spin, customize, and price complex products inside your existing web store — the experience is the sales tool.
{ 07 } — The symptoms
Signs a flat screen is the bottleneck.
Immersive tech earns its budget where the thing itself — its scale, its space, its procedure — is exactly what a customer or trainee cannot see.
{ 08 } — What changes
What changes when it is immersive.
Before
Training happens on live equipment, slowly, with an instructor per trainee.
After
Trainees rehearse in VR first — instructors handle assessment, not repetition.
Before
Customers judge a physical product from photographs.
After
They walk around it at true scale, configured to their spec.
Before
Field technicians juggle a manual and a phone call.
After
Instructions are pinned to the machine itself, one step at a time.
Before
The showroom carries a handful of configurations; the catalog has hundreds.
After
Every SKU, every option, configured live at true scale.
Before
Immersive projects are judged by launch-day applause.
After
They are judged by the metric agreed up front — and reported against it.
Where this applies
Get expert guidance on your immersive project.
Book a free consultation call — a senior team member replies within one business day with real thoughts, not a sales script.
Frequently asked questions
Usually not — web AR and 3D run on ordinary phones and browsers; headsets are reserved for training cases that genuinely benefit.
From your CAD files where they exist, or modeled by us — always optimized so experiences load in seconds, not minutes.
Both are valid jobs — but every project defines its metric up front (conversion, training time, decision speed) and reports against it.
Web AR first for reach; native ARKit/ARCore where deeper tracking is needed; standalone VR headsets for simulation training.
A proof-of-value pilot typically runs 4–6 weeks from framing to a working experience with analytics — long enough to build honestly, short enough to decide cheaply.
A performance budget set before modeling starts, then a pipeline that earns it — retopology, levels of detail, texture baking, compressed formats. File size is treated as a feature: the experience loads in seconds on a mid-range phone, or it does not ship.