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Syntho
Generate privacy-compliant synthetic data at enterprise scale with AI
About Syntho
Syntho is an AI-powered synthetic data generation platform that enables enterprises to innovate securely while maintaining full regulatory compliance. Based in Amsterdam, Syntho creates realistic, privacy-preserving synthetic datasets that eliminate the risks associated with handling sensitive personal or proprietary data. The platform leverages advanced machine learning algorithms to generate statistically representative data that maintains utility for analytics, testing, and development without exposing real customer information. By partnering with AiDOOS, Syntho delivers enhanced enterprise scalability, streamlined governance frameworks, and seamless integration into existing data ecosystems. Organizations can accelerate product development, conduct risk-free analytics experimentation, and achieve compliance with GDPR, CCPA, and other global data protection regulations. AiDOOS enhances deployment through optimized cloud infrastructure, managed governance, and simplified onboarding across enterprise environments.
Challenges It Solves
- Organizations struggle to balance data utility with privacy regulations, delaying innovation
- Sensitive data breaches and compliance violations create significant legal and reputational risk
- Traditional data masking and anonymization techniques reduce analytical value and data quality
- Limited access to diverse, representative datasets restricts testing and model development
- High costs of data acquisition and compliance infrastructure strain development budgets
Use Cases
Risk-Free Product Development
Development teams use synthetic data to test new features and applications without exposing real customer data. Accelerates testing cycles while maintaining complete data privacy and security.
Regulatory Compliance and Data Governance
Financial and healthcare organizations leverage synthetic data to meet strict regulatory requirements including GDPR, HIPAA, and CCPA while enabling data sharing and analysis across departments.
Machine Learning Model Training
Data scientists train and validate AI models using diverse, bias-reduced synthetic datasets. Enables experimentation with unlimited scenarios and edge cases without privacy concerns.
Third-Party Data Sharing
Organizations securely share datasets with partners, vendors, and analysts using synthetic data instead of real records. Enables collaboration while protecting proprietary and sensitive information.
Quality Assurance and Testing
QA teams generate diverse test datasets covering edge cases and scenarios without manual data creation. Accelerates testing of data pipelines, analytics platforms, and reporting systems.
Pricing
Pricing available on request
Syntho pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Key Features
Create realistic synthetic datasets preserving statistical properties
Generate unlimited high-quality synthetic data in minutesEliminate sensitive data exposure while maintaining analytical value
100% GDPR and CCPA compliant data generationDeploy across complex data environments with AiDOOS optimization
Scale to billions of records without infrastructure constraintsValidate synthetic data fidelity and statistical accuracy
Maintain 95%+ statistical similarity to original datasetsConnect directly to existing data pipelines and workflows
Deploy in production environments within daysTrack all data generation and usage for compliance documentation
Complete audit logs for regulatory reporting requirementsReviews
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Enterprise Readiness
Integrations
8 total appsDirect integration with S3 and AWS analytics services for seamless synthetic data generation and deployment at scale
Native connector for loading synthetic datasets into Snowflake data warehouses for analytics and reporting
Distributed processing integration enabling large-scale synthetic data generation across Spark clusters
Integration with Databricks lakehouse platform for unified synthetic data generation and ML workflows
Connect synthetic data directly to Tableau for analytics and visualization without privacy constraints
Seamless integration with Microsoft Power BI for dashboard creation and business intelligence
Python and R SDK support for integration into data science workflows and automated pipelines
Enterprise REST APIs enabling custom integrations and real-time synthetic data generation in applications
AiDOOS Managed Deployment
Deploy Syntho in
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Prerequisites
Configuration Options
A Virtual Delivery Center for Syntho
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
- Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
- Refundable on unused Delivery Units, anytime — no questions asked
- Re-delivery guarantee on acceptance miss
- Pre-flight delivery sizing — you see the plan before you commit
How a Virtual Delivery Center delivers Syntho
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists