Roadmap

SynthNet AI has a structured roadmap to guide the platform's development and ensure the continual enhancement of its features and capabilities. This roadmap is designed to reflect our commitment to innovation and our response to the evolving needs of our users and the broader AI industry.

2024

• Q1: Launch of the Decentralized AI Marketplace, allowing developers to share and monetize their AI models.

• Q2: Enhancement of the Peer-to-Peer Computational Tensor Fabric with improved algorithms for resource allocation and compensation.

• Q3: Introduction of additional security features in Decentralized Cloud Data Storage to enhance data protection and compliance with global regulations.

• Q4: Expansion of AI Development Tools and Libraries to include support for more programming languages and machine learning frameworks.

2025

• Q1: Rollout of advanced analytical tools within the platform to provide users with deeper insights into their AI model performance.

• Q2: Implementation of cross-platform capabilities to ensure seamless integration of SynthNet AI services with external cloud providers and enterprise systems.

• Q3: Launch of a certification program for developers to verify their expertise in creating and deploying models on SynthNet AI.

• Q4: Upgrade of the AI Model Training and Deployment infrastructure to support distributed learning and federated AI technologies.

2026

• Q1-Q4: Continued global expansion to new markets with local data centers to minimize latency and comply with local data sovereignty laws.

• Throughout: Ongoing updates to user interface and user experience components to ensure the platform remains easy to use and accessible to all levels of users.