Differentiators

Challenges

Scalability issues

• AI task completion required significant computational resources due to its complexity

• Blockchain systems struggle with scalability that leads to slow transactions and high costs.

Data Privacy and Security

• Traditional blockchains provide transparency, yet lack adequate mechanisms to safeguard sensitive information.

Efficiency and Resource Allocation

• Allocation of resources for AI task is not optimally managed in numerous decentralized AI platforms

• Resulting underutilized resources and bottleneck

Solution

Node Integration

• Specialization of node types (Validator, Computational & Data Nodes) for specific task completion.

• Enables greater efficiency and scalability by tailoring each node type for specific operations.

Advanced AI Integration

• Seamless AI Deployment and Execution: Offers a more integrated approach for deploying and managing AI models, which is supported by specialized computational nodes designed for intensive AI tasks.

• Real-Time Processing: Integrating state channels which can support the processing of AI tasks in real-time without overloading the main blockchain.

Decentralized Data Management

• Enhanced Data Privacy and Security: Utilizing the homomorphic encryption, zero-knowledge proof and secure multi-party computation to support data processing without exposing underlying information.

• Granular Access Control: The usage of sophisticated smart contracts to manage the data access by allowing the data owners to specify exactly who can access what data and under what conditions.