Why Canton Network? The Case for Privacy in Prediction Markets

We get this question a lot. Why Canton? Why not just build on Ethereum like everyone else?

Fair question. Ethereum's got the biggest ecosystem, the most liquidity, the strongest brand recognition in crypto. So why'd we go a different direction with Yogen?

Short answer: privacy. And not the hand-wavy "we care about your data" kind. Real, structural, baked-into-the-protocol privacy that changes how prediction markets actually work.

The MEV Problem Nobody Wants to Talk About

If you've traded on any Ethereum-based prediction market, you've probably been front-run. Maybe you didn't notice. Most people don't. But it happened.

On EVM chains, every transaction sits in a public mempool before it gets confirmed. Bots scan that mempool constantly. They see your bet coming, jump ahead of you, and move the price before your order fills. You get a worse price. They pocket the difference.

This isn't some edge case. MEV extraction on Ethereum hit billions of dollars. Billions. And prediction markets are especially vulnerable because the signals are so clear. Someone placing a big bet on a political outcome or a sporting event? That's an obvious trading signal sitting right there in plain text.

Canton doesn't have a public mempool. Transactions aren't broadcast to the entire network. There's no pool of pending transactions for bots to pick through. Your bet goes through without anyone seeing it first. That's it. Problem solved at the architecture level, not patched over with some MEV protection wrapper.

Sub-Transaction Privacy Changes Everything

Here's where Canton gets really interesting. It's not just that your transactions are private. It's that the network itself only shows each participant what they need to see.

Canton calls this "sub-transaction privacy." Think of it like this. On Ethereum, if you place a bet, the whole world knows your wallet address, the amount, the market, and the position you took. Every single detail is public forever.

On Canton, the counterparty to your trade sees the trade. The market operator sees what they need to see for settlement. But random observers? They see nothing. Your trading strategy, your position sizing, your market views. All private by default.

For casual users, this might seem like a nice-to-have. But for anyone trading with real size, it's essential. You can't run a serious prediction market where every participant's positions are public knowledge. That's just giving away free alpha to anyone watching.

Daml: Smart Contracts That Actually Make Sense

Canton runs on Daml, which is Digital Asset's smart contract language. And I'll be honest, when we first looked at it, we were skeptical. Another smart contract language? Do we really need one more?

Turns out, yeah. We did.

Daml was built for financial applications from day one. It's got built-in concepts for authorization, privacy, and obligation that Solidity just doesn't have. Writing prediction market logic in Daml feels natural. You're modeling agreements between parties, not hacking together workarounds for things the language wasn't designed to handle.

The authorization model alone is worth it. In Daml, you can't accidentally create a contract that lets someone drain funds they shouldn't access. The type system catches entire categories of bugs that have caused millions in losses on EVM chains. We've all seen the exploit headlines. Reentrancy attacks, flash loan manipulations, approval bugs. Daml's design makes most of those structurally impossible.

Institutional Grade Isn't Just Marketing Speak

Canton was built by Digital Asset, and their client list includes Goldman Sachs, the ASX (Australian Securities Exchange), and a bunch of other institutions that don't mess around with toy infrastructure. The Canton Network already handles real financial transactions at scale.

Why does that matter for a prediction market? Because we think prediction markets are going mainstream. Not just crypto-native degens betting on memecoins. Real institutions, real capital, real regulatory scrutiny.

Building on infrastructure that's already passed institutional due diligence means we don't have to convince anyone that the underlying tech is production-ready. It already is. Banks are using it. Exchanges are running on it.

So Why Canton?

We didn't pick Canton because it's cool or contrarian. We picked it because prediction markets have specific requirements that public EVM chains can't meet without ugly compromises.

No front-running. Real privacy. Smart contracts that were designed for financial logic. Infrastructure that institutions already trust.

That's the stack we wanted. Canton gave it to us.