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AI x Web3 Powered by Trustless & InfinyOn

Deb RoyChowdhury

Deb RoyChowdhury

VP Product, InfinyOn Inc.

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Ai primitives for web3 powered by Trustless and InfinyOn.

Index

Introduction

I recently spoke with Miles Smith, CEO and co-founder of Trustless Engineering Corporation, to explore how the company is making the crypto and decentralized financial markets more accessible to everyday investors.

With a decade of experience in fintech and distributed systems, Miles shared how Trustless Engineering is building AI primitives to simplify the complexities of blockchain technology, with a particular focus on the Solana blockchain.

I learnt about the challenges of real-time blockchain data processing, the advantages of using Fluvio, Stateful DataFlow, InfinyOn Cloud event streaming platform in Miles’ experience.

Making Web3 Accessible with AI Primitives

The goal of Trustless Engineering Corporation (shortened to TEC) and Prism is to ultimately empower average investors with clear, actionable insights into the crypto space.

Unlike traditional stock markets, where participation often requires brokers or institutional status, crypto markets are open to anyone with a dollar—but this accessibility comes with volatility and complexity.

“You can go and look at a chart and see a number going up or a number going down, and it doesn’t really give you much knowledge,” Miles explained. “It’s a lot of information, but not a lot of knowledge.”

TEC uses AI primitives to bridge this gap, translating raw blockchain data into meaningful insights. “We want to help people say, ‘This is what is happening in the market. And this is what it means for me and my family and my financial portfolio,’” he added.

By focusing on the Solana blockchain, Trustless Engineering aims to make decentralized finance (DeFi) understandable even to people like Miles’ mom, who might hesitate to move her savings into a stablecoin yielding 10-15% interest due to the crypto market’s opaque nature. AI plays a pivotal role here, decoding the permissionless, anonymous world of blockchain into digestible knowledge.

Processing real-time blockchain data presents unique challenges. Solana, for instance, processes transactions in blocks every 400 milliseconds, with each block containing 10,000 to 15,000 transactions. “That is a significant amount of data flowing through a large system,”. Traditional ledger-style processing struggles to keep up with this pace, and the rapid evolution of blockchain technology adds further complexity. Unlike the decades-old internet backbone, blockchain ecosystems like Solana, Ethereum, and Sui each require domain knowledge, with contracts and terminology—like “leverage” or “liquidity” carrying context-specific meanings that differ from traditional finance (TradFi).

For the average investor, this creates a steep learning curve. “If you try to apply TradFi principles to crypto, you’re probably not going to have a good time,” Miles cautioned. Trustless Engineering tackles this by using AI to process high-performance data streams and deliver clarity amidst the chaos.

Discovering Fluvio: A Serendipitous Find

Miles’ introduction to Fluvio, InfinyOn’s Rust-native event streaming platform, was a happy accident. “I was just browsing Rust libraries through docs.rs and I was bored after working one day,” he recalled. Stumbling upon Fluvio’s event streaming capabilities piqued his interest, especially given his experience with tools like Kafka. What sealed the deal? Solana’s Rust-native architecture aligned perfectly with Fluvio’s design. “It all just clicked. It made sense. It was like, ‘Oh, this is the puzzle piece. It fits there. We put it there,’” Miles said. Within hours of experimenting, he was hooked, thanks to Fluvio’s zero-copy mechanisms and performance benefits tailored to high-throughput transactions.

Why Fluvio Stood Out

Trustless Engineering evaluated several event streaming alternatives like Kafka, RedPanda, Nats before betting on Fluvio. While Kafka boasts a massive community and RedPanda offers better latency and serverless, Fluvio’s server-side processing capabilities set it apart. “I can hook up WASM modules that I publish into my cluster, and then the results that my actual consumer gets are the aggregate of all of those computations and mutations and roll-ups,” Miles explained. This reduces client-side processing overhead, a common bottleneck in blockchain systems.

Cost-effectiveness was another major win. Previously, Trustless ran an eight-node Kafka cluster with terabytes of RAM and disk space. With Fluvio, they scaled down to three Kubernetes nodes (16 cores, 24GB RAM each), slashing infrastructure costs by thousands of dollars monthly. “The stability is great,” Miles added. “I don’t think we’ve ever had an issue with Fluvio going down or falling over, even pushing massive amounts of messages.”

Envisioning Serverless RPC for Solana

One of the conversation’s highlights was Miles’ vision for serverless RPC (Remote Procedure Call), a major efficiency boost for Solana interactions. Traditional RPC methods involve polling data via HTTP, incurring significant overhead.

“We’re building serverless RPC,” Miles said. “You can think of Cloudflare where you can shove your business logic into a small little JS flag, shove it up to them, and then they run it at the edge for you.” With serverless RPC, users can upload custom logic—say, “Alert me when this account transacts over a certain amount” to InfinyOn Cloud, receiving only the filtered results they need. This eliminates the need to burn through thousands of RPC credits just to confirm a transaction, streamlining both performance and costs.

The endgame? Prism An API-based data marketplace where developers can tap into Solana feeds, write custom logic, and build applications without wrestling with RPC complexities. Miles cited BaxUS, a real-world asset platform for rare liquors, as an early use case: users could track their vaulted assets without sifting through irrelevant DeFi noise.

Parting Thoughts: Impact of InfinyOn

Miles wrapped up with high praise for InfinyOn’s approach. “InfinyOn is building products the way that I would build them,” he said. “Fluvio has saved me more money in the last six months than I think any other product decision that we’ve made.” The team’s responsiveness—fixing issues like the jolt transformer module in days—further solidified his trust in the partnership.

Conclusion

Miles offers an insightful look at how Trustless Engineering Corporation is demystifying crypto for the average investor using AI, data processing, and InfinyOn Cloud streaming platform. From tackling real-time blockchain challenges to pioneering serverless RPC, their work on Solana is paving the way for a more accessible DeFi landscape. For developers and businesses building analytical data pipelines, Fluvio promises simplicity, power, and efficiency—without compromise.

We will soon have an example project to share based on this collaboration along with a demo, a getting started guide, and benchmarks of processing production workloads. Stay Tuned!

If you’d like to see how InfinyOn Cloud could level up your data operations - Just Ask.