Anyverse
Madrid physics-based sensor simulation producing synthetic data for in-cabin, driving, defence and robotics
Quick Overview
| Company | Anyverse S.L. |
|---|---|
| Category | Synthetic Data Platforms |
| Headquarters | Madrid, Spain |
| Founded | Not stated |
| EU Presence | Yes - Spain (EU) |
| Data Location | Cloud engine (region not stated) |
| Open Source | No |
| GDPR Compliant | Yes |
| Self-Hosting | Not stated |
| Main Features | Spectral rendering, camera, LiDAR, radar and thermal sensor models, procedural scenes, weather conditions, labelled output layers |
| Pricing | Pricing on request; demo and possible trial |
| Best For | Automotive and defence teams training perception models |
| Replaces | Gretel (visual and sensor data use cases) |
Detailed Review
Anyverse does not generate tables. Its engine simulates light, materials and sensors to produce image and sensor datasets for physical AI, which makes it an alternative only for visual data projects.
The legal notice names Anyverse S.L., registered in the Madrid commercial registry.
Sensors, not rows
Sensor models cover cameras, LiDAR, time-of-flight, radar, RGB-IR, NIR and thermal. Scenes are built procedurally and can include failure modes, rain, snow, fog and glare.
Labelled outputs
Rendered layers include RGB, semantic and instance labels, depth, normals, materials, motion vectors and raw 16-bit images, which feed supervised training and validation.
Standards alignment
The site mentions alignment with Euro NCAP and UNECE test protocols and lists TISAX certification, relevant for automotive suppliers.
Limitations to Consider
It cannot replace a tabular generator such as Syntho, since it only addresses visual and sensor data. Pricing is not published, the cloud region is not named, and the terms page found is specific to the in-cabin application. Datasets that need photographic realism for new domains require scene modelling effort.
Who Should Use Anyverse
Automotive suppliers, defence and robotics groups in Europe training or validating perception models on rendered sensor data.
Pros and Cons
Pros
- Wide sensor model range
- Reproducible deterministic datasets
- Detailed labelled output layers
- TISAX certification stated
- Spanish registered company
Cons
- Only visual and sensor data
- Pricing not published
- Cloud region not stated
- Scene setup takes expertise
Alternatives to Anyverse
Other European synthetic data platforms worth comparing before you decide:
Octopize
France · Avatar anonymisation with synthetic data and public price tiers
Syntho
Netherlands · Masking, rule-based and AI-generated data in one engine
Dedomena
Spain · Madrid platform pairing validation, anonymisation and synthetic data
Aindo
Italy · Trieste synthetic data for clinical evidence and public health
See all European synthetic data platforms or compare them directly against Gretel (visual and sensor data use cases) on our alternatives page.
Frequently Asked Questions
No. It generates rendered image and sensor datasets.
Cameras, LiDAR, time-of-flight, radar, RGB-IR, NIR and thermal.
The site mentions personalised demos and that trial access may be available.