Greg Cussell
Project OwnerGreg Cussell is leading strategy, vision, and business development. He drives innovation, oversees operations, and ensures alignment with ethical AI practices and the BGI Nexus mission.
Xenet leverages blockchain technology through its Xenet Coin, creating a transformative on-chain AI ecosystem. Autonomous agents operate transparently and securely using smart contracts, enabling trustless automation of complex workflows. The decentralised architecture allows users to monetise AI agents on a secure marketplace with verified performance histories. By integrating with high-performance blockchains, Xenet ensures rapid, low-cost transactions and eco-friendly operations. The platform’s innovative resource-sharing economy rewards users for contributing computational power, promoting efficiency and sustainability
New AI service
Xenet is an AI service enabling NLP and voice input to train and deploy custom AI agents within the Xenet ecosystem. Users can interact with agents via text or voice automating workflows across tools like Slack Salesforce and WhatsApp. It supports 200+ languages enhancing global accessibility and productivity.
Train an AI agent using voice input to handle customer support inquiries on WhatsApp. The agent should understand English and French respond to FAQs and escalate complex issues to a live agent on Slack.
AI agent trained and deployed. It now manages customer inquiries on WhatsApp responds in English and French and escalates complex cases to Slack. The training process and deployment are logged on-chain using Xenet Coin.
Develop and deploy the foundational infrastructure of our AI agent framework. This includes establishing the core architecture for agent creation, training, and deployment across multiple platforms. Implementation of secure logging systems to track agent actions and performance metrics. Integration with key business tools including Salesforce, Google Workspace, and Slack to enable cross-platform automation capabilities.
A comprehensive working prototype demonstrating AI agents executing complex automated workflows with detailed logging and monitoring capabilities. This includes a dashboard for agent management, performance tracking, and workflow visualisation. The system will support multiple agent types and demonstrate seamless integration with various business tools.
$15,000 USD
Functional prototype successfully demonstrating automated agent deployment, cross-platform integration.
Implement advanced Natural Language Processing and voice input capabilities to enable intuitive multi-language AI agent training and deployment. This system will support over 100 languages, enabling global accessibility and usage. Development includes sophisticated language understanding models, voice recognition systems, and multilingual processing capabilities to ensure accurate interpretation of commands and requirements across different languages and dialects.
A robust demonstration system showcasing AI agents trained through both text and voice inputs, executing complex cross-platform tasks in multiple languages. The system will include a user-friendly interface for voice command input, language selection, and real-time translation capabilities. Implementation of contextual understanding to improve accuracy and reliability of command interpretation.
$10,000 USD
A fully operational NLP and voice input system demonstrating successful multi-language support.
Design and build the comprehensive Xenet Marketplace platform for AI agent monetisation. This includes developing the infrastructure for agent listing, discovery, and deployment. Implementation of a rating system for agents, user reviews, and performance metrics. Development of tools for developers to upload, test, and monetize their agents efficiently. Creation of a seamless user experience for browsing, purchasing, and deploying agents.
A fully functional marketplace platform featuring a clean, intuitive interface for agent listings, detailed agent descriptions and capabilities, integrated testing environments, and comprehensive deployment tools. Implementation of search and filter functionality to help users find relevant agents quickly. Development of analytics tools for tracking agent performance and usage statistics.
$15,000 USD
Launch of a fully operational marketplace demonstrating successful test transactions, user engagement metrics, and smooth agent deployment processes.
Conduct comprehensive beta testing with selected users to optimize workflows and refine AI agent performance. This phase includes gathering detailed user feedback, identifying performance bottlenecks, and implementing necessary improvements. Focus on real-world usage scenarios to ensure platform reliability and user satisfaction. Implementation of performance monitoring tools to track system metrics and user behaviour patterns.
Detailed beta testing report documenting user feedback, system performance metrics, and implemented improvements. This includes comprehensive platform updates addressing identified issues, enhanced security measures, and optimised user workflows. Development of user onboarding materials and documentation based on beta testing insights. Implementation of automated monitoring and alert systems for ongoing platform maintenance.
$10,000 USD
Successful completion of beta testing phase with demonstrated platform improvements, achieving user satisfaction rates and resolved critical issues. Implementation of all major feature requests and optimisation recommendations from beta users.
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