MOSTLY AI
vs
Syntheticus
MOSTLY AI
MOSTLY AI is a pioneering platform that enables true data democratization through advanced synthetic data generation. The platform utilizes GenAI models to create fully anonymous synthetic data that maintains the statistical properties of original datasets while ensuring compliance with privacy regulations like GDPR and CCPA.
The platform features a natural language interface for data exploration, supports multi-variate time series data, and offers enterprise-grade deployment options with ISO27001 and SOC2 Type 2 certifications. It includes a Python SDK for seamless integration into existing data workflows and provides capabilities for creating and enriching tabular data using fine-tuned language models.
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.
MOSTLY AI
Pricing
Syntheticus
Pricing
MOSTLY AI
Features
- GenAI Models: Proprietary architectures for highest accuracy synthetic data generation
- Privacy Protection: Fully anonymous synthetic data creation with regulatory compliance
- Natural Language Interface: AI-powered data exploration without specialized expertise
- Enterprise Integration: Kubernetes or OpenShift deployment with secure infrastructure
- Python SDK: Comprehensive client for workflow integration and management
- Multi-format Support: Handles multi-variate time series and relational databases
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.
MOSTLY AI
Use cases
- Data sharing across organizations while maintaining privacy
- AI/ML model development with synthetic training data
- Testing and QA environments with representative data
- Self-service analytics for non-technical users
- Privacy-compliant data democratization
- Database population for development environments
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.
MOSTLY AI
Syntheticus
