Isaac Sim Jumpstart: Expert Robot Simulation Services on AWS

• **Greenfield** — no simulation or digital twin today, and you need a credible, production-shaped starting point in Isaac Sim.
• **Migration** — you have existing sims or models and want Isaac Sim's advanced capabilities (Replicator synthetic data, domain randomization, Isaac Lab) without rebuilding from scratch.

We serve robotics across **manufacturing, logistics and warehouse, defense, medical, and automotive** — anywhere a robot can be deployed.

**How we work: ASSESS → PROVE → PRODUCTIONIZE**

A staged, productized path that we scope to your goal and timeline.

▸ **ASSESS — Discovery (1–2 weeks, optional)**

We scope the use case and define success criteria up front, audit your assets (URDF/CAD, sensor specs) and available data, recommend the right AWS reference architecture, and right-size GPU compute (e.g., Amazon EC2 G6e with NVIDIA L40S, or newer G7e with NVIDIA RTX PRO 6000 for higher-end workloads). You leave Discovery with a clear plan, scope, and architecture — before committing to a build.

▸ **PROVE — Proof of Concept (4–6 weeks)**

The core engagement. We:

• **Import your robot** into Isaac Sim on OpenUSD — articulation, joints, kinematics, and sensors (RGB-D, LiDAR, IMU, odometry, and more).
• **Tune** kinematic, dynamic, and sensor properties to fit-for-purpose fidelity. We're candid here: high-correlation real-to-sim is an ongoing effort, and some noise/sensor fidelity requires custom work — we get you to the fidelity your objective actually needs, and flag what would take more.
• **Characterize and validate** model behavior against the criteria defined in Discovery.
• **Integrate** with your control and downstream systems — ROS 2, ROS, or custom middleware.
• **Deploy** on a right-sized AWS environment: headless, containerized Isaac Sim with Amazon DCV or WebRTC streaming for remote access by distributed teams.

**Scope flexes to your reality**. Model complexity, sensor count and fidelity, and whether you already have ecosystem assets all drive scope. On a hard 4–6 week timeline, we prioritize the highest-value sensors from your BOM and set those up correctly, deferring the rest to follow-on phases. Need the full robot and have timeline flexibility? We extend the PoC accordingly. We meet the objective that matters to you — whether that's a compelling visual and a working baseline to support your next funding round, or validating specific design changes before a release revision.

▸ **PRODUCTIONIZE — Follow-on engineering (custom scope)**

As your needs grow, we extend the foundation: synthetic data generation with Replicator and domain randomization for perception model training, additional sensors and scenes, higher-fidelity sensor and physics tuning, reinforcement learning and Isaac Lab workflows, and scaling/orchestration of large simulation and data-generation workloads (e.g., NVIDIA OSMO). Most clients continue here, building on what we established together.

**What you get**

• A working **Isaac Sim digital twin of your robot** on AWS — articulation and priority sensors imported, tuned, characterized, and validated.
• A **right-sized AWS reference architecture** (GPU EC2, storage, networking, secure remote streaming) deployed with Infrastructure-as-Code patterns, plus documented GPU-sizing guidance.
• **Integration** with your ROS 2 / control / downstream stack.
• A **handoff and knowledge-transfer session**, deployment guide, and runbook so your team can operate and extend the environment independently.
• A **clear roadmap** for follow-on work (synthetic data, RL/Isaac Lab, additional sensors, scale).

**Why VividCloud**

• **Dual-ecosystem credibility**. AWS Advanced Tier Services Partner with the AI Competency, and a member of the NVIDIA Connect program. Relevant certifications are listed on our AWS Partner profile.
• **Proven where it counts**. Battle-tested in digital twin creation and synthetic data generation (Replicator / domain randomization), with reusable reference architectures and solved GPU-sizing and deployment "gotchas" from real client engagements.