Synthetic Stack for Image Intelligence Beyond What Exists
High-fidelity datasets matched to your sensors, for inspection and sensing.
Choose Your Engagement
Track 1: Dataset
Camera-matched thermal and RGB images, automatic labels, control of edge cases and environment parameters.
Track 2: Train and deliver
Custom detector training, tuned via a small real dataset, direct deployment weights or on-device edge runtime builds.
Partners
Data Engines
High-fidelity simulation and labelling pipelines that build robust perception models.
Thermal / LWIR
High-fidelity thermal datasets for detection, with camera-matched appearance and automatic labels.
Objects
Scenes and classes built around your special case, with controllable variables and edge cases.
Automatic labels
Camera-matched appearance
New variants not raw volume
Synthetic Thermal Data
Synthetic thermal datasets for computer vision development and model training. Controllable. Repeatable. Privacy-first.
No real people. No identifiable faces.
Camera-matched noise
LWIR noise, blur and intensity profiles matched to your camera behaviour.
Automatic labels
Precise labels and bounding boxes generated automatically, ready for training.
Privacy-first
No identifiable faces or sensible details. Synthetic data you can use with confidence.
What you control
- Near, mid, and far range settings
- Ambient and enforcement temperature
- Object class: person, furniture, vehicle, and more
Deliverables
- Camera-matched thermal images
- Ready-to-train labels (COCO/JSON)
- Metadata and parameters
Synthetic Objects Data
Scenes and classes with automatic labels, such as segmentation, bounding boxes, depth maps, and 3D positions, built around the cases you name.
Class balance
Built-in balance across classes
Edge cases
Targeted scenarios and failure modes
COCO or YOLO export
Ready for training pipelines
How We Engage
A fast, focused workflow from your data to a deployed solution.
Custom dataset
Tailored datasets built for your environment, objects, and use case.
Targeted sprint
Short, focused data collection sprints to validate or scale quickly.
Deployment
Weights or an on-device build, using a small real anchor from your camera.
We also build satellite and OCR sets, supporting our partners in Earth Observation and Insurance domains.
About Us
Vypno was founded by Dr. Yang Li, Maximilian Jakasovic, Dr. Nitesh Narayan, and Alejandro Rueda, alumni of the Technical University of Munich. Our expertise lies in artificial intelligence, computer vision and software engineering.
Contact Us
Want to know more? Contact us and learn how we can help you!
We look forward to hearing from you.
Lichtenbergstr. 8
85748 Garching
Germany
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Legal Notice
Angaben gem. § 5 TMG
Vypno GmbH
Lichtenbergstraße 8
85748 Garching
Registergericht: Amtsgericht München,
HRB: 251315
Geschäftsführerin: Dr. Yang Li
Email: contact@vypno.com
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