Building the Intelligence Layer for Decentralized Finance
AI infrastructure and models for building intelligent, autonomous financial applications.
Value Proposition
We are developing smarter financial applications & infrastructure that seamlessly incorporate AI to help organizations and businesses solve real world problems.
The hard to reach data collected by these applications enrich different AI models and improve their capability, accuracy, and reliability.

Our Methodology
RPS AI builds intelligent financial solutions that seamlessly integrate AI to solve complex industry challenges. By deploying our technology in real-world environments, we gather unique data that continuously enhances our models, making them more accurate, adaptable, and reliable.
This iterative approach bridges AI with financial infrastructure, creating scalable, efficient, and highly responsive tools that drive decision-making, risk management, automation, and financial optimization for DeFi and fintech applications.
Use Cases
Actively Manage Liquidity On-Chain
A smart application that assists first time users to provide active liquidity on DEXs, portfolio management, and prevent impermanent loss.
Launch App
Permissionless Managed Funds
We are developing smarter financial applications & infrastructure that seamlessly incorporate AI to help organizations and businesses solve real world problems.
The hard to reach data collected by these applications enrich different AI models and improve their capability, accuracy, and reliability.

Smart AI Defi Vaults
Utilizes ML to enable riskless and superior yields for stablecoin pairs, integrates with defi platforms.
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RPS Network
RPS’ AI network coordinates researchers, data curators, processors for RLHF to continuously improve the model over time.

Our Mission
We believe AI will have a vast impact on finance.
RPS is dedicated to building systems and applications that people can rely on for a more equitable and efficient financial future.
Our team combines deep expertise in AI, crypto, and financial systems, having built and scaled machine learning products since 2019. With over a decade of combined experience, we've deployed robust infrastructure powering millions in digital assets.