We approached TAS with a complex and highly specialized requirement: to develop a fully automated, AI-driven yield farming optimization system capable of discovering and exploiting early-stage liquidity opportunities across multiple blockchain ecosystems — including Solana, Sui, and EVM-compatible chains.
Our objective was ambitious: identify fresh liquidity pool (LP) deployments in real-time, apply intelligent filters based on volume, TVL, and volatility thresholds, and trigger actionable signals — all while maintaining sub-second response time for alpha execution.
What TAS delivered far exceeded expectations.
The system they engineered doesn’t merely scrape new LP data — it understands DeFi. Leveraging AI-based logic and chain-specific adapters, the engine actively monitors Solana DEXs like Raydium, instantly detecting pool creation events and parsing associated liquidity metrics. The performance during our live tests on Solana was exceptional: data was accurate, alerts were timely, and the system consistently highlighted pools with asymmetric early-phase returns.
On Sui’s newer infrastructure, especially through Kriya DEX, the platform handled less mature endpoints with surprising agility. Parsing and pattern detection worked seamlessly, even identifying hidden opportunities that manual scouts or generic tools would have missed.
What stood out most was the domain understanding: TAS didn’t just build tech — they built a system aligned with the realities of yield farming. From rug pull detection logic to position timing, the system incorporates intelligent safeguards and capital deployment strategies that reflect real trading behavior.
Communication throughout was transparent, turnaround cycles were fast, and their grasp of both technical architecture and DeFi mechanics was world-class.
In a space where seconds matter and true alpha is rare, this platform provides a genuine edge. We’re now preparing to deploy it full-time with capital at scale.
