ANYVERSE, the Right Synthetic Data for Advanced Perception
Making machine perception real
Build the right synthetic datasets to speed up your development of next-generation perception systems.
Design your dataset
Making machine perception real
Build the right synthetic datasets to speed up your development of next-generation perception systems.
Design your dataset
Making machine perception real
Build the right synthetic datasets to speed up your development of next-generation perception systems.
Design your dataset

Making machine perception real

The ANYVERSE synthetic data solutions offer the speed, scalability, and sensor fidelity for better machine perception training and testing.

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The right data for each perception model

Advanced perception development requires photometric-accurate data with your exact scenario, specific configuration, and error-free ground-truth metadata.
 
 
 
 
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The right data for each perception model

Advanced perception development requires photometric-accurate data with your exact scenario, specific configuration, and error-free ground-truth metadata.
 
 
 
 

Customizable Sensor Model

ANYVERSE replicates sensor characteristics by means of a proprietary spectral render engine that simulates optics with photometric accuracy. A customizable sensor model allows you to set the lens type, color filters, spectral response and many other camera-sensor features.

Customizable Sensor Model

ANYVERSE replicates sensor characteristics by means of a proprietary spectral render engine that simulates optics with photometric accuracy. A customizable sensor model allows you to set the lens type, color filters, spectral response and many other camera-sensor features.

Balanced Data

Datasets are collections of synthetic images that include ground-truth channels such as color, depth, instance, materials, roughness, raw sensor data, and more. Additional data is exported as JSON files for full traceability. ANYVERSE produces balanced synthetic data with rich variability ready to feed your machine-learning model.

Use Cases

Predefined and procedurally-generated indoor and outdoor 3D scenarios. A vast library of 3D assets enriches the scenes and together with lighting/weather variations provides for infinite possibilities to train or test. Multiple applications in industries ranging from autonomous vehicles to industrial robotics and smart cameras.

There is no one-size-fits-all when it comes to synthetic data!  

Each perception model and each stage of the process requires a unique set of data.
For this reason we provide flexible solutions and data generation as per project specs and requirements.
Share your vision and project requirements with us.

Collect project requirements

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ANYVERSE

Data Generation

Customized dataset delivery

01. Collect project

requirements

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02. ANYVERSE

Data Generation

03. Customized

dataset delivery

Any synthetic data questions, drop us a message!

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Design your dataset

Let us take you through the steps required for a customizable ANYVERSE dataset. 
We will provide you with some samples afterwards or will get in touch to understand better your data needs.

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Application
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Scenario
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Sensors
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Camera Lens
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Resolution
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Data Output
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About you

Let’s start with the practical use of your dataset!

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Where does the action take place? Pick a scenario!

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Would you like to add camera(s) and/or LiDAR to your ego vehicle?

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Do you require a specific camera lens ?

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What resolution does your model require?

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Finally, tick all the additional metadata channels you’d like to have!

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Let's talk synthetic data!

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