Product
Last updated
Last updated
Launch SYNTH lite: at this stage, the team focuses on developing and launching a lite version of the SYNTH product, which provides basic functionality for working with synthetic data. This includes the development of a user interface, the integration of core data generation and management functions.
Partner with foundational GPU provider: the team is also working on a partnership with leading GPU providers to ensure high performance and efficiency in working with data and artificial intelligence models.
SYNTH GOVERNANCE: at this stage, the team develops and implements the SYNTH governance and control system, which includes access control mechanisms, user authentication, as well as monitoring and analytics of platform usage.
Launch SYNTHETIC - the Data Platform of the future: During this period, SYNTHETIC - the data platform of the future is launched, providing the user with the ability to generate, store, analyze and manage synthetic data in a unified integrated environment.
SYNTH HUB: at this stage, the team develops and launches SYNTH HUB - a central hub for accessing various models and algorithms for generating synthetic data. This allows users to easily find and use the models and tools they need for data generation.
Release foundational AI Synthetic data models: during this period, foundational artificial intelligence models for generating synthetic data are released. They provide high accuracy and realism in data creation.
SYNTH OS - Native AI model training environment (Linux distribution): in the final stage, the team releases SYNTH OS - a native AI model training environment based on a Linux distribution. This provides users with a convenient and optimized environment for training models using synthetic data.
