Quicknode

January 31, 2025 — 4 min read

Welcome back to Feature Fridays! This week, we’re excited to highlight Axal, a pioneering company reimagining the internet for task execution. Founded by Ashlan Ahmed, a Harvard graduate, and former AWS Connect engineer, Axal is building a competitive task marketplace powered by blockchain and agent swarms. Unlike traditional systems that rely on manual API integrations, Axal’s architecture enables real-time, verifiable execution of digital tasks—starting with DeFi. Their first product, Autopilot, streamlines DeFi trading by optimizing order flow through agentic auctions, delivering faster, cheaper, and chain-abstracted transactions.

Check out Axal

Q & A with Lys 👇

能否請您自我介紹一下，包括您的姓名、過往經歷，以及目前在公司擔任的職務？此外，請簡要說明貴公司的使命，以及貴公司能為客戶提供哪些服務。

I’m Ashlan Ahmed, founder and CEO of Axal. I graduated from Harvard College in 2024 with Computer Science and Economics degrees and previously worked at Amazon Web Services Connect on API infrastructure. I have also begun competing in Web3 hackathons since 2020 and have even won a few.

Axal’s mission is to create an action-based internet. Here’s what I mean: the internet is great at collecting information. It’s not so great at executing tasks. That’s because solutions like OpenAI Operator rely on API wrangling and can only scale as fast as the team can add functionality. We’re trying to reimagine that through competitive task marketplaces and strong guarantees via blockchain. Imagine a world where you state your intent through a Google-like interface, and agent swarms compete to execute it for you. That’s what we’re building at Axal.

We began with DeFi primitives and a product called Autopilot, which will be trading with real money by the end of January.

貴公司自成立以來，在發展與變遷方面有何變化？對於未來的規劃又是什麼？

Axal has gone through massive changes since its inception. We started at a16z’s Crypto Startup School in the spring of 2023., and we’ll soon start extending it Back then, the company was called Lockbox. It was an automated treasury management solution and the first iteration of Axal.

What inspired you to develop Axal, and how did you conceive the idea?

The architecture of companies like Across, UniswapX, and CowSwap has always fascinated me. Instead of relying on the inefficiencies of Automated Market Makers, we can outsource DeFi primitives directly to agents to execute orders faster, cheaper, chain abstracted, and create an overall better user experience. The realization here was: Why

That was the impetus behind Axal: competitive agentic auctions for all digital tasks—sports betting, rideshare, e-commerce, and more. The internet aggregates information and spits out the best one for you. However, we still rely on siloed applications, APIs, and service providers for tasks fetching and verifying token holdings for Autopilot users, getting the latest Liquidity pool rates, and simulating and executing. Tasks should be like information—immediate execution at your fingertips. That was the inspiration and conception of Axal.

Can you provide insight into Axal’s progress by sharing any metrics or milestones indicating its traction?

We’ve moved incredibly fast. After the fundraiser, we hired a great team, launched Gekko AI through Virtuals, created the beta version of Autopilot, and got to nearly 10,000 community members via Twitter in only three months. We also have over 5,000 Autopilot beta testers eagerly waiting for the end-of-January release. Autopilot creates agentic auctions for all DeFi primitives.

However, we’re building towards something more significant. It’s a marathon, but we’re moving as fast as possible.

How does your company utilize Quicknode, Quicknode’s products, and what benefits does it bring to your business operations

Axal uses Quicknode as its primary RPC provider on each application tier, fetching and verifying token holdings for Autopilot users, getting the latest Liquidity pool rates, and simulating and executing transactions across chains. An upcoming feature on Autopilot, which monitors chain states to trigger stop-loss and limit orders on behalf of the users, utilizes Quicknode streams to get real-time updates on Liquidity pools across all supported chains as well.