Services

Services

Engineering simulation and data systems for modern AI development.

From high-fidelity synthetic data to physics-accurate digital twins, we provide the infrastructure to train, test and deploy autonomous systems at scale.

Why Teams Choose Us?

Teams building AI systems that interact with the physical world face the same constraints:

real-world data is slow, expensive, and incomplete
testing edge cases safely is difficult
systems behave differently once deployed

FS Studio helps teams shift critical learning, testing, and iteration into engineered virtual environments — so real-world deployment happens with fewer surprises.

"Working with FS Studio has been an excellent experience. They helped us develop a model that is incredibly close to the real one, which will be instrumental for our training sessions and the development of new applications. Their expertise and support have been invaluable to our progress." - Vincenzo Latino, Oversonic Robotics

We don’t sell one-off simulations

We sell repeatable worlds, reusable assets, and recurring data.

Most “simulation work” gets delivered as a project. The simulation might look great — but it doesn’t become an internal tool your team can rely on week after week. FS Studio products are structured to become ongoing infrastructure: onboarding engagements that convert into platform subscriptions and data products.

Simulation

Domain-specific, physics-correct environments for training, validation, and deployment — designed to start as onboarding and expand into platform subscriptions and data products.

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Digital Twins

High-fidelity spatial models of real facilities for planning, communication, and readiness — built on the same asset foundation as simulation.

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Sim-Ready Asset Generator

A standardized pipeline for ingesting and validating assets so they’re usable across simulation, twins, and data — and expand the shared asset library with every engagement.

Convert Your Assets

Synthetic Data

Structured synthetic datasets and behavior-rich synthetic video generated directly from platform assets — delivered as monthly tranches aligned to training cycles.

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Synthetic Data Products

Moving beyond static datasets to high-fidelity visuals and physics-grounded, temporally coherent data products that fuel the next generation of VLA models.

Synthetic Data Factory

Automated, Multi-Modal Data Pipelines for Continuous, Large-Scale Model Training

What it is: Recurring generation of structured synthetic datasets, produced directly from simulation and twin assets.

Modalities: RGB, depth, segmentation + semantic labels, event annotations

Delivery model: Monthly data tranches, versioned and regenerable, volume-based expansion

Outcome: Scalable data without real-world collection + predictable aligned with training cycles

Synthetic Video & Animation Data

Physics-Driven Video for Training Models That Understand Action, Not Just Pixels

What it is: Time-based, behavior-rich synthetic video and animation generated from physics-based simulation.

Best for: Vision-language-action model teams; behavior/event detection; safety/monitoring models

Differentiators: Temporal coherence, physics-driven motion, multi-camera perspectives, event-level labeling

Outcome: Higher-quality inference models

Simulation Products

Start fast. Prove value. Standardize simulation as a tool.

Sim-Ready Asset Generator

Every engagement expands the shared library — assets become platform IP, not one-off deliverables.

What it is: Standardized pipeline for ingesting + validating assets for reuse across simulation, twins, and data.

Delivers: Physically meaningful meshes, correct scale/pivots/collision, material/contact properties, metadata/versioning/reuse readiness

Outcome: Compounding value: each customer expands reuse, speed, and margins for the next.

Pilot

A fast, low-friction entry into the FS Studio simulation platform using a canonical environment and clearly scoped task.

Best for: Robotics startups, system integrators, teams evaluating simulation readiness.

Delivers: Canonical environment (selected domain), one robot/task focus, physics sanity checks + baseline validation, exportable assets/configs.

Outcome: De-risked approach + foundation for reuse and expansion.

Pilot Plus

Adds scenario variation, robustness testing, and early validation workflows.

Best for: Teams preparing for deployment; integrators supporting rollouts.

Delivers: Parameterized variations, multiple scenarios/task conditions, early edge-case exploration, improved documentation/handoff.

Outcome: Confidence in simulation as a deployment tool + path into Sim Lite / Full Simulation.

Sim Core

A bounded, production-ready simulation environment designed for continuous internal use — not one-off testing.

Best for: Robotics teams training policies; validation/safety teams; teams standardizing workflows.

Delivers: Deterministic reset/replay, scenario generation + versioning, pipeline integration.

Outcome: Simulation becomes a repeatable internal tool + natural attachment point for recurring asset access.

Full Simulation

A comprehensive, extensible system for large-scale training, validation, and long-term programs.

Best for: Mature teams; enterprise/public sector; safety-critical deployments

Delivers: Multi-scenario system, parameterized tasks, robust validation/replay workflows, native integration with subscriptions and data products

Outcome: Simulation becomes core technical infrastructure + strong pull-through to recurring platform revenue

Digital Twin

High-fidelity spatial models of real environments for planning, readiness, and alignment.

Facility planning/layout changes
automation readiness
training/onboarding
stakeholder alignment

Let's Build

FS Studio is your strategic partner in unlocking the next frontier of product development and enterprise transformation

If you can imagine it, we can simulate it.