At its core, Syntheticus® provides seamless data ingestion, efficient workflow orchestration, flexible deployment options, and robust security measures, ensuring data integrity and confidentiality.
Load your real-world data from various sources, including tabular, text, image, and multi-modal datasets, allowing a comprehensive analysis and synthesis approach.
Tailor your experience by selecting from advanced Functional Modules. Whether you need to ensure data quality, generate synthetic data for analysis, safeguard sensitive information, or validate insights, Syntheticus® provides diverse tools to match your needs.
Through Exploratory Data Analysis, the Profile module provides in-depth insights into your datasets. It performs stringent Data Quality Checks, ensuring data integrity, consistency, and reliability. Additionally, the Monitoring feature continuously tracks data health, alerting you to potential anomalies or deviations, enabling proactive data management strategies.
The Generate module leverages state-of-the-art GenAI technologies like GPT, GAN, VAE, Diffusion, and statistical approaches to offer robust Synthetization, Bootstrapping, and Augmentation capabilities. Create new data points from scratch leveraging LLM, rebalance and de-bias datasets, and ensure the creation of accurate, transferable synthetic data for modeling and testing.
The Protect module specializes in safeguarding sensitive information through PII classification, transformative measures, and implementation of differential privacy protocols. Ensure the confidentiality and integrity of your data, minimizing the risk of breaches while maintaining compliance with stringent data protection regulations.
The Validate module offers comprehensive utilities for ensuring data accuracy and compliance. Assess data Utility, Fidelity, and Privacy using advanced Machine Learning algorithms and state-of-the-art privacy and statistical tests. Generate detailed QA Reports to identify flaws, ensuring GDPR compliance and trustworthy data for impactful business decisions.
Generative AI refers to using advanced ML algorithms to generate synthetic data that mimics original datasets. With Syntheticus, you gain access to the latest in GenAI, leveraging our proprietary algorithms and integrating diffusers, transformers, LLMs, and GANs.
Syntheticus employs sophisticated techniques to provide a mathematical guarantee of privacy while generating accurate synthetic datasets. Through this robust method, your sensitive data remains safeguarded, ensuring the confidentiality of your original information.
Confidential Computing ensures robust encryption for your raw, sensitive data throughout its lifecycle. Our approach guarantees sensitive data is encrypted to everyone at all times, safeguarding it from unauthorized access at every stage.
Syntheticus is committed to empowering your business by offering tailored outcome-based programs designed to foster a culture of data-driven decision-making. Our expert team provides end-to-end synthetic data solutions, including installation, professional services, and workflow optimization, reducing implementation overheads and optimizing data use cases.
Through collaborations with top cloud marketplaces and system integrators, Syntheticus facilitates seamless ecosystem integration, enabling your organization to leverage synthetic data for impactful decision-making.
You're in the right place to find out. See answers to frequently asked questions about our platform.
Synthetic data is a type of artificial data that mimics real-world datasets. With Syntheticus®, you access high-quality synthetic datasets created using advanced Generative AI and sophisticated mathematical/statistical methods.
The Syntheticus Suite uses advanced Generative AI and data protection technologies to generate high-quality synthetic datasets that mimic real-world data. Our algorithms analyze your original dataset and use this information to generate synthetic datasets that are accurate, reliable, and fit for your specific use case.
Syntheticus® uses a range of state-of-the-art validation tools to ensure that its synthetic datasets are accurate and reliable. Using these certified tools, we compare the synthetic data against your original dataset to show that it proxies the data quality and accuracy. That said, the quality of original data is key to generating high-quality synthetic data, and we recommend using Syntheticus® in conjunction with quality datasets to maximize the accuracy of your results.
Synthetic data is used to train Machine Learning models or develop and test software applications. Some typical use cases include fraud detection, forecasting financial trends, developing smarter medical devices and applications, software development and testing, advanced analytics, and AI.
No, Syntheticus® does not have access to your original data. All our algorithms and tools are designed to protect its confidentiality. You connect your data to our Suite, and it generates high-quality synthetic datasets within your perimeter.
Syntheticus® works best with structured tabular data formatted in tables, large datasets, relational databases, geospatial data, log and time series data, multi-table databases, and open text data. However, the platform is data-agnostic and can ingest every type of data.
No, Syntheticus® is easy to use and requires no special skills or experience. Our intuitive platform makes connecting and interacting with your data simple. Our team of experts is always available to help you get the most out of Syntheticus® and your data.