Industry solutions

Physical AI & robotics

Stream high-fidelity simulation environments to training and visualization nodes without local downloads.

Training autonomous systems means simulating thousands of robots in physically accurate environments. Those scenes can exceed 10GB. Downloading and caching them locally stalls GPU clusters and exhausts memory on visualization nodes.

Talk to us

Isometric illustration of an industrial robotic arm with a gripper, camera and sensor components

Photoreal 3D render of a yellow six-axis industrial robot arm with visible cabling and pneumatic lines

Stop waiting on multi-gigabyte scene loads

The environments are physically accurate and already built. The problem starts when they have to move: a scene that exceeds 10GB stalls GPU clusters while it downloads and exhausts memory on the visualization nodes that cache it. The usual workaround is manual decimation, but that alters collision meshes and breaks the physical accuracy your training depends on. Miris streams from your source scene, progressively and at native resolution, adapting to each training or visualization node, so the un-decimated environment opens without the download wait.

| THE PROBLEM

Your simulation assets are too heavy to move

High-fidelity scenes carry precise geometry, materials, and physics attributes. Manual decimation to make them load faster alters collision meshes, which breaks physical accuracy and introduces sim-to-real errors.

| SCENE SIZE

10GB+

Scene assets that cause transfer delays across training clusters.

| PHYSICAL FIDELITY

Corrupted physics

Decimation alters collision meshes and degrades reinforcement-learning fidelity.

| COMPUTE UTILIZATION

Idle clusters

Expensive GPU compute sitting idle while data ingests.

You already build accurate digital twins. The problem is not the model. It is delivering it to every node without losing physical fidelity.

| THE SOLUTION

One asset. Every surface.

Stream un-decimated OpenUSD scenes to simulation environments, training nodes, and visualization tools, progressively and at native resolution.

A VR headset, phone, tablet and monitor each displaying the same 3D cube asset

This scene is conditioned once upstream, then streams adaptively. Nodes render what they need without caching the full multi-gigabyte file locally.

The expensive optimization happens once, upstream. Delivery scales independently, so detail refines on demand without corrupting the underlying physics.

| Proof

Isometric line illustration of warehouse racking, with a few boxes rendered in full detail among many drawn as outlines

LOAD TIME

Sub-second

Simulation environments stream and load on demand instead of waiting on multi-gigabyte downloads.

Miris product capability.

Isometric container shown half as a triangulated wireframe mesh and half as a solid surface, illustrating full-fidelity geometry

FIDELITY PRESERVED

Native resolution

Collision meshes and material data stream at full resolution, with no manual decimation.

Miris platform.

Miris streams heavy assets into simulation and visualization tools, addressing local cache limits.

| FURTHER READING

Why training environments have a fidelity ceiling

Most simulation teams settle for either photoreal but static, or varied but stylized. Greg Melling explains why domain randomization at photoreal fidelity has always been an authoring and delivery problem, not a simulation problem, and what changes when the asset library streams.

Stop building training environments. Start streaming them.

Read the blog

Stylized 3D render of a translucent handbag with a blue handle, streamed by Miris

Talk to us View the docs

Solutions

One delivery layer, every industry

One conditioned asset, streamed at full fidelity to any device. See what that changes inside your industry's pipeline.

Media & Entertainment

Review the master asset, not a proxy

Retail & E-commerce

Let shoppers inspect before they buy

Add 3D to your product, not to your roadmap

Create an account and stream your first asset today, or partner with us to embed spatial streaming in your platform.

Join the beta Partner with us

Careers

Streaming video reshaped media consumption; we're doing the same for 3D. Join a small team solving tough spatial streaming, content delivery, and developer experience challenges.

See open roles