SyntheticAIdata is a platform that provides synthetic data for vision AI, enabling scalable data generation for model training. It focuses on privacy, regulatory compliance, and accelerating AI product development by delivering large-scale, annotated synthetic datasets. The solution is designed to be a no-code workflow with cloud integrations, making it accessible even to non-technical users while supporting enterprise needs.
What is SyntheticAIdata?
SyntheticAIdata is a partner for creating synthetic data to craft diverse datasets at scale. Using their platform helps reduce costs, ensures privacy and regulatory compliance, and speeds up the journey from AI concepts to market-ready products. The platform is backed by industry partnerships and programs such as Microsoft for Startups and NVIDIA Inception.
Why Use SyntheticAIdata
- Large-scale synthetic data generation to supplement or replace scarce real data
- Privacy and regulatory risk mitigation by simulating realistic yet non-identifiable data
- Cost-effective data creation and tagging through automation
- No-code workflow suitable for non-technical users
- Seamless cloud integrations for easy deployment
- Compatibility with vision AI model training and evaluation
Product Features
- Unlimited Data: Data can be generated at scale to cover a wide range of scenarios where real data is lacking.
- High Density: Automatic generation of diverse annotations to speed up data collection and labeling.
- Cost Effective: Reduces the costs associated with data collection and annotation.
- No Code Solution: User-friendly, no-code interface for generating synthetic data.
- Cloud Integrations: One-click integration with leading cloud platforms for convenience.
- Eliminates Privacy Risks: Synthetic data mitigates privacy and regulatory concerns.
What You Can Build
Get in touch to learn how SyntheticAIdata can help you generate synthetic data at scale for your vision AI projects. The platform supports a wide range of use cases and industries.
How It Works
- Generate synthetic data that mirrors real-world variability while avoiding privacy issues.
- Automatically produce annotations to accelerate dataset creation.
- Use the no-code interface to configure data generation, then deploy via cloud integrations.
Safety and Legal Considerations
- Synthetic data should be used in compliance with applicable laws and regulations.
- Ensure adherence to corporate policies and data governance when integrating with downstream AI workflows.
Core Use Cases
- Vision AI model training and benchmarking
- Data augmentation for limited real-world datasets
- Privacy-preserving synthetic data generation for regulated industries
How to Get Started
- Reach out to discuss enterprise needs and available services.
- Learn about pricing, trial options, and deployment models.
- Explore cloud integration options and onboarding support.
Company and Contact
SyntheticAIdata ApS, CVR: 43376241, Copenhagen, Denmark. © 2025 syntheticAIdata. All Rights Reserved.
Additional Information
- The platform is supported by Microsoft for Startups and is part of the NVIDIA Inception program.
- Cookie and privacy policies apply to website interactions.