Build trustless AI infrastructure with guaranteed execution
From precise inference to secure, federated training across distributed networks, Raiku makes onchain AI possible, at scale
The challenge with AI onchain
Unpredictable inference timing
Federated training networks suffer
AI agents cannot execute
No way to securely guarantee
Enterprise AI Model Marketplace
AI model creators can monetize their work while protecting IP, and enterprises can access specialized models without vendor lock-in.
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Federated AI Training Infrastructure
Organizations can collaborate on large-scale AI training while maintaining data sovereignty and protecting sensitive information.
Autonomous AI Agent Networks
AI agents need to coordinate complex multi-step operations across different systems and only Raiku can guarantee sequential actions.
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Deploy autonomy with certainty
AI Trading Strategies
Deploy machine learning trading models with deterministic settlement and front-running protection, optimized for high-frequency quantitative strategies with sophisticated execution guarantees.
Decentralized AI Inference Networks
Create marketplace-driven AI inference networks where model providers can guarantee response times and users can reserve computational resources with predictable pricing.
Cross-Domain AI Coordination
Enable AI systems to coordinate across different domains (finance, healthcare, logistics) with guaranteed timing and privacy preservation, perfect for enterprise AI that needs to work across organizational boundaries.
AI-Powered Autonomous Organizations
Build organizations run entirely by AI agents, with guaranteed execution of governance decisions, financial operations, and strategic coordination across multiple autonomous systems.
How Raiku supports trustless infrastructure for AI
Pre-confirmations
Know your AI operations will execute before submission
Slot reservations
Schedule inference and training up to 60 seconds ahead
Guaranteed inclusion
Eliminate uncertainty in critical AI workflows
Privacy preservation
Execute AI operations in encrypted environments
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Build AI systems and trustless AI infrastructure
Create autonomous agents and AI workflows that execute with deterministic timing and reliable multi-system coordination