Hi, Seamless community,
Allora and Seamless are excited to announce a collaboration that will integrate Allora’s AI-powered price prediction feeds into Integrated Liquidity Markets (ILMs), bringing real-time intelligence to leverage strategies. By leveraging Allora’s collective intelligence, Seamless ILMs will dynamically optimize positions, adjust leverage based on market conditions, and proactively mitigate risk—unlocking a new era of adaptive, capital-efficient onchain finance.
Seamless has already simplified the DeFi experience through its ILMs, allowing users to borrow and loop assets with one-click strategies while automating risk management.
AI-Driven Leverage Strategies with ILMs
Until now, these strategies have been predefined, following preset logic that were not as flexible as a potential approach with autonomous AI Agents. By tapping into Allora’s predictive intelligence, Seamless is changing that: ILMs will no longer just execute strategies; they will anticipate market movements, adjust leverage positions in real-time, and optimize yield opportunities while proactively mitigating liquidation risk.
With this integration, Seamless ILMs will explore the possibilities of:
- Utilizing real-time ETH and BTC price predictions to inform leverage decisions dynamically;
- Adjusting looping strategies autonomously, reducing exposure to sudden market swings;
- Optimizing capital efficiency, ensuring users get the best possible borrowing execution;
- Reducing liquidation risks by proactively managing positions based on predictive analytics.
Benefits to the Seamless Ecosystem
This collaboration introduces AI-driven intelligence to automated vault strategies, enhancing efficiency, and adaptability, bringing continuous learning mechanism that enhances accuracy over time.
What does this mean for Seamless users in the future?
- More efficient leverage – Borrowing and looping strategies will be dynamically adjusted to optimize leverage;
- Reduced liquidation risk – ILMs will look to anticipate price swings and adjust positions before markets move against them;
- Seamless, hands-free experience – The goal is for users to no longer need to monitor markets constantly—AI does the work, improving overtime;
- Improved capital utilization – ILMs will dynamically rebalance positions to ensure capital is deployed optimally.
These benefits ensure users get the best possible leverage execution without needing to constantly monitor and adjust their positions. This means fewer liquidations, and a smoother DeFi experience—all with zero manual intervention.
About Allora Network
Allora is a self-improving decentralized AI network, enabling applications to leverage smarter, more secure AI through a self-learning ecosystem of machine learning models. By combining crowdsourced intelligence, reinforcement learning, and regret minimization, Allora refines its inferences over time, making it a powerful intelligence layer for AI agents, onchain finance, DeFi automation, risk management, and more.
The network operates as an open marketplace for intelligence, where participants contribute, evaluate, and monetize their highest-quality inferences. The ecosystem consists of multiple participant roles, each playing a key function in maintaining accuracy, security, and efficiency:
- Workers provide AI/ML-powered inferences to the network. These inferences can directly refer to the object that the network topic is generating or to the predicted quality of the inferences produced by other workers to help the network combine these inferences;
- Reputers evaluate the quality of the inferences provided by the workers. This is done by comparing the inferences to the ground truth when available. Reputers also quantify how much these inferences contribute to the network-wide inference;
- Validators are responsible for securing the network and consensus;
- Consumers they pay for requesting inferences from the network.
Unlike static AI models that rely on pre-set rules or singular predictions, Allora enables multiple machine learning models compete to generate the most accurate output. These models assess each other’s performance in real time, learning and evolving dynamically.
Instead of depending on a single AI model, Allora aggregates and weighs multiple inferences based on historical accuracy under similar conditions, creating a single network-wide, high-confidence inference.
What’s Next?
This collaboration is a major leap forward for onchain finance.
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