Tari.ai
AI-Driven DCA: Bridging real-time financial insights and on-chain execution for automated, smarter investing.
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About
The problem it solves Using this platform, anyone can upload financial documents (like market reports or news), have them automatically analyzed for sentiment, and then watch as a multi-agent AI (via RL Swarm) translates that insight directly into a Rootstock smart contract action. This setup removes guesswork from DCA investing, ensuring each investment decision is shaped by up-to-date market context. By integrating AI-driven sentiment analysis and decentralized finance, it simplifies portfolio management and potentially reduces risk for long-term investors.
How it's made
Challenges we ran into A major hurdle was running advanced AI inference on a limited local environment. Instead of training large models on-site (which is resource-intensive and time-consuming), I leveraged OpenAI’s API to simulate multi-agent collaborative reasoning for RL Swarm. Another challenge was connecting all the moving parts—Upstage for document parsing, the RL Swarm logic, and the Rootstock contract—while keeping the user experience straightforward. Ultimately, modular code design and thorough testing helped me iterate quickly and fix the quirks that surfaced.