Autonomous
AI Agents.
Integrate intelligent autonomy at the protocol level. We architect specialized validator nodes running LLM-driven deterministic agents for trading, risk management, and dynamic resource optimization — all operating natively on-chain.
Base Model
Qwen-3-72B
Execution
Deterministic
Intelligence that runs at block speed.
Our agents don't call external APIs — they run as first-class node processes with direct mempool access and sub-block-time decision latency. Every action is deterministic, meaning the same agent state always produces the same transaction output.
- No external API dependencies
- Sub-10ms inference latency on validator hardware
- Auditable decision logs for every action
- Slashing-resistant agent isolation sandboxes
Protocol-native intelligence.
Deterministic On-Chain AI
LLM-driven agents with guaranteed deterministic outputs — every decision is reproducible, auditable, and consensus-safe.
Predictive Resource Pricing
ML models trained on mempool dynamics dynamically optimize gas pricing, reducing transaction costs by up to 40% under volatile conditions.
Validator Agent Frameworks
Specialized node software extensions that run agent inference locally on validator hardware — no centralized API dependency.
Atomic Arbitrage Execution
Agents identify cross-pool arbitrage within a single block window and construct atomic multi-step transaction bundles for guaranteed profit extraction.
Risk Monitoring Sentinels
Autonomous watchdog agents monitor on-chain liquidity health, whale wallet movements, and protocol anomalies in real time.
Decentralized Compute Pipelines
Distribute AI inference workloads across the validator network — eliminating single points of failure and centralized ML infrastructure.
Deploy intelligence at the consensus layer.
Our AI systems team will scope your agent deployment in a 60-minute technical review. No vendor lock-in, no cloud dependency.