Syntho Engine
vs
Syntheticus
Syntho Engine
Syntho Engine is a comprehensive test data management platform that leverages the power of AI to generate high-quality synthetic data. It offers a range of features, from data masking and PII scanning to AI-generated synthetic data and upsampling. The platform supports various data types and connectors and provides options for deployment, making it a versatile choice for organizations across industries.
The platform is designed to mimic statistical patterns of original data. The Syntho Engine prioritizes compliance and privacy in all operations and can be deployed in the safe environment of customers so that (sensitive) data never leaves the safe and trusted environment of the customer. The final synthetic data is approved by the data experts of SAS.
Syntheticus
Accessing and utilizing large volumes of real-world data presents significant hurdles, including complexity, cost, privacy concerns, and regulatory restrictions like GDPR and the EU AI Act. Syntheticus offers a solution by leveraging Generative AI to produce safe, anonymous, and statistically representative synthetic data. This artificial alternative effectively mitigates issues related to data access, bias, storage limitations, and compliance requirements, serving as a crucial tool in the face of increasing data needs and privacy regulations.
The Syntheticus Suite provides a Core Platform complemented by advanced Functional Modules designed to generate high-quality synthetic data suitable for various applications. This data can unlock the full potential of AI and Machine Learning projects by providing diverse datasets, enhancing fairness, and boosting model performance. Furthermore, it streamlines software testing processes by overcoming data limitations and facilitates analytics and business intelligence operations across diverse environments by removing data access and compliance barriers.
Syntho Engine
Pricing
Syntheticus
Pricing
Syntho Engine
Features
- AI-Generated Synthetic Data: Mimic statistical patterns of original data in synthetic data with the power of artificial intelligence.
- Data Masking: Protect sensitive information by removing or modifying personally identifiable information (PII).
- PII Scanner: Automatically detect sensitive data types.
- Time-Series Synthetic Data: Generate realistic time-series data.
- Upsampling: Enhance data quality by upsampling.
- Synthetic Mock Data: Complement real data with fake data using 150 mockers.
- Consistent Mapping: Ensure consistent data representation.
- Quality Assurance Report: Automated reporting on the quality of the synthetic data.
- Rule-Based Synthetic Data: Generating synthetic data by a rule-based approach.
Syntheticus
Features
- Generative AI-Powered Synthesis: Creates high-quality synthetic data using advanced GenAI models.
- Privacy Preservation: Generates anonymous data to address privacy concerns and comply with regulations like GDPR.
- Statistical Representation: Ensures synthetic data accurately mirrors the statistical properties of real-world datasets.
- Scalable Data Generation: Produces large volumes of synthetic data on demand.
- Bias Mitigation Support: Aids in creating fairer datasets for AI and Machine Learning model training.
- Syntheticus Suite: Integrates a Core Platform with Functional Modules for diverse applications.
Syntho Engine
Use cases
- Test data generation
- Data analytics
- Product demos
- Data sharing
- Data monetization
- AI modeling
- System migration support
Syntheticus
Use cases
- Training AI and Large Language Models (LLMs) with diverse and privacy-compliant datasets.
- Enhancing data fairness and reducing bias in machine learning algorithms.
- Streamlining software testing with readily available, representative test data.
- Enabling comprehensive end-to-end software testing without compromising sensitive production data.
- Powering analytics and business intelligence while adhering to strict data privacy regulations.
- Facilitating data analysis in restricted environments (cloud, on-premises, edge).
- Overcoming data scarcity for AI development in sectors like finance, healthcare, and insurance.
Syntho Engine
Uptime Monitor
Average Uptime
87.15%
Average Response Time
1461.53 ms
Last 30 Days
Syntheticus
Uptime Monitor
Average Uptime
100%
Average Response Time
324.1 ms
Last 30 Days
Syntho Engine
Syntheticus
