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We collaborate with world-model research teams to design, generate, and instrument physics-engine simulations that train embodied and video-based models.

Our network of simulation engineers, technical artists, and expert operators builds physically grounded, human-executed environments inside engines like Unity or Unreal Engine.

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🎯 Overview

Syra partners with world-model labs to produce research-grade, physically realistic simulation data.

We extend built-in physics systems to enable model learning from the causal structure of simulated worlds.


⭐ Why Labs Work With Us

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Research Partner, Not Vendor We co-design simulation programs aligned with your world-model goals.

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Physics-Engine Expertise Sourcing experts with deep fluency in engines like Unity, Unreal ensures mechanically consistent, reproducible simulations.

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Human-Executed Fidelity Expert operators perform high-fidelity interactions from both first-person and third-person perspectives

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Instrumentation by Default Structured telemetry, event logs, and metadata support ablations, eval loops, and reproducibility.

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Secure & Rights-Clean All simulations are original, governed, and traceable for ML research use.

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🔧 How We Work

1. Objective Definition You share a world-model goal (navigation, physics reasoning, multi-agent coordination, embodied control).

2. Scenario Design Together, we define environment classes, scenario families, difficulty ladders, and capture modalities.

3. Expert Pod Assembly We staff Simulation Engineers, technical artists, tools engineers, and expert operators.

Most simulation programs are scoped, staffed, and instrumented within one to two weeks - enabling first captures and iteration targeted within the same cycle, depending on requirements.

4. Build & Instrument We extend out-of-the-box physics systems with custom telemetry hooks, event schemas, and seed control for reproducibility.

5. Generate & Capture Expert operators perform structured interactions in VR and exocentric rigs, producing motion-dense, physics-grounded traces.