Miris

Miris’ breakthrough technology is ushering spatial computing into the streaming era.

[Miris @Miris_spatial]

1/ Real-time HDR reflections on automotive paint. Streaming to headsets, Android tablets, mobile phones, and desktop browsers. One 1.2GB source asset. No cloud GPU per viewer.

We built a WebXR configurator to stress-test the Miris platform on the hardest visual category in commerce. Here's what we learned.

[Miris @Miris_spatial]

Blog post is up. If automotive fidelity and cross-device reach have been in tension for your team, this one's worth the read.

https://t.co/kTY7b4wP3U

[Miris @Miris_spatial]

1/ Real-time HDR reflections on automotive paint. Streaming to headsets, Android tablets, mobile phones, and desktop browsers. One 1.2GB source asset. No cloud GPU per viewer.

We built a WebXR configurator to stress-test the Miris platform on the hardest visual category in commerce. Here's what we learned.

[Miris @Miris_spatial]

One source asset. 72 configurable variations. No per-platform rebuild.

The same 1.2GB Blender file streams to headset, mobile phones and browsers. Adaptive streaming delivers as much fidelity as each device and network can support.

[Miris @Miris_spatial]

@samhcarter @earthtojake

[sam carter | 현준 @samhcarter]

@earthtojake you should use @Miris_spatial to stream it to any device globally!

https://t.co/SyX7DBUVJO for examples — it’ll work on your phone over commodity 5G/wifi :)

[Miris @Miris_spatial]

82% of shoppers interact with 3D. Most retailers still can’t deliver it at scale.
We wrote the playbook on why and how to fix it.

#3Dretail #retail3D #3Dexperiences #streamable3D

[Miris @Miris_spatial]

Most "3D streaming" isn't streaming 3D. It's pixel streaming or a download in disguise.

Miris CPO Will McDonald explains why that breaks at scale and what Miris does instead on the latest episode of Dream Machines with @evanhelda

#3Dstreaming #webdevelopment

[Miris @Miris_spatial]

5/ We built https://t.co/YsW6OqHjDo to show the difference on your device, your connection. Three approaches, three very different outcomes.

Worth a look → https://t.co/9WHqtQa6kv

[Miris @Miris_spatial]

1/ Most 3D on the web still works like it's 2005. Download the whole model first. Render second. Nothing on screen until the last byte arrives.

[Miris @Miris_spatial]

4/ Streaming is a different model entirely. Miris sends the minimum data needed to render and delivers a first frame in under a second. The rest resolves while you're already navigating.

[Miris @Miris_spatial]

What do creators need to know before uploading to Miris?

1. Miris inputs OpenUSD natively.

2. Skip pre-optimization before uploading.

3. After uploading, review the lower-resolution preview to confirm materials and scale, then generate the streamable asset.

Read the full getting started guide here: https://t.co/3GdhEvLPDl

#3Dstreaming #openUSD #webdev #threejs

[Miris @Miris_spatial]

Miris streams 3D assets that deliver upwards of ~50-100x faster than Draco compressed (at Raw CAD fidelity) with sub-second load time to first view.

A 1GB source asset loads and becomes interactive as quickly as a simple 5MB glTF.

Want to experience Miris streaming for yourself? https://t.co/CYjY7HLEIx

[Miris @Miris_spatial]

Generation is step one. Step two is getting that content in front of users without melting your infrastructure.

Miris CPO Will McDonald covered exactly how we're solving that at #GTC26. Worth a watch.

[CoreWeave @CoreWeave]

Everyone's talking about generating 3D content with AI, but fewer people are talking about what happens next — delivering it in real time, at scale.

Miris CPO Will McDonald joined @CoreWeave at #GTC26 to dig into exactly that 👇
https://t.co/UytO6kXNqX

[Miris @Miris_spatial]

Did you miss the live session? Our Miris overview webinar is now available on demand.

In 30 minutes, you'll see how Miris streams production-quality 3D to the web with no compromise to speed, fidelity, or scale.

Watch it now → https://t.co/DsvkEJBi33

[Miris @Miris_spatial]

Traditional content delivery falls apart for real-time 3D

So we partnered with @cavrnus to demonstrate how adaptive spatial streaming helps teams build better collaborative 3D experiences at scale.

Read more: https://t.co/mjPeEfpcUX