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TechnologyMarch 27, 20265 min readBy Mayank

Daml Smart Contracts: Why the World's Biggest Banks Chose This Language

Daml is the smart contract language powering Canton Network. Here's why Goldman Sachs, JPMorgan, and DTCC chose it over Solidity for regulated finance.

Daml Smart Contracts: Why the World's Biggest Banks Chose This Language — cnews.dev

Every blockchain has a smart contract language. Ethereum has Solidity. Solana has Rust. Canton has Daml — and the choice has proven decisive for institutional adoption. Goldman Sachs, JPMorgan, DTCC, and dozens of the world's largest financial institutions build on Daml because it was designed from the ground up for how regulated finance actually works.

What Makes Daml Different

Daml (originally Digital Asset Modeling Language) is a purpose-built language for multi-party business processes. Where Solidity models accounts and balances, Daml models rights and obligations between parties. This distinction is foundational.

A Solidity smart contract says: "Address A has 100 tokens." A Daml contract says: "Party A has the right to transfer an asset, Party B has the obligation to deliver on settlement, and Party C can observe but not modify the contract." This maps directly to how financial agreements — bonds, derivatives, repo agreements — actually work.

Privacy by Design

In Solidity, all contract state is globally visible. Every participant on Ethereum can read every contract's storage. Daml takes the opposite approach: contract visibility is determined by the parties named in the contract. If you're not a stakeholder, signatory, or observer on a Daml contract, you don't know it exists.

This isn't a privacy layer added on top — it's intrinsic to the language model. When Goldman Sachs writes a tokenized bond contract in Daml, the privacy rules are part of the contract definition, not a separate encryption or access control system. The Canton runtime enforces these rules at the protocol level.

Authorization Model

Daml's authorization model requires explicit consent from all affected parties before a contract action can execute. This prevents a critical class of bugs in financial applications: unauthorized state changes.

In Solidity, a smart contract can modify any state it has access to, leading to vulnerabilities like reentrancy attacks and unauthorized token approvals. In Daml, every action (creating a contract, exercising a choice, archiving a contract) requires authorization from specified parties. A transfer can't happen unless both the sender and receiver authorize it. A margin call can't execute unless the contract's terms allow it.

Formal Verification

Daml supports scenario-based testing and formal verification that lets developers prove contract correctness before deployment. For institutions where a smart contract bug could mean millions in losses, this capability is essential.

A Daml scenario defines a sequence of actions and assertions: "Party A creates a bond contract. Party B exercises a purchase choice. Assert that A's balance decreases and B's balance increases by the exact bond amount." These scenarios are executable tests that verify contract behavior matches specification.

Cross-Domain Composability

Daml contracts on Canton are composable across domains. A bond contract on Goldman's domain can atomically interact with a payment contract on JPMorgan's domain through the Global Synchronizer. This cross-domain composability — with privacy preserved at each step — is what enables Canton's "network of networks" architecture.

No other smart contract language provides this combination: multi-party authorization, intrinsic privacy, formal verification, and cross-domain composability. It's why Daml has become the default language for institutional blockchain applications, with over 300 enterprise deployments worldwide.

Frequently Asked Questions

What is Daml programming language?

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Daml (Digital Asset Modeling Language) is a smart contract language designed for multi-party business processes. It models rights and obligations between parties rather than account balances, with built-in privacy rules that determine who can see each contract.

How is Daml different from Solidity?

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Daml models rights and obligations with built-in privacy (parties only see contracts they're involved in), requires explicit authorization for all actions, and supports formal verification. Solidity models account balances with global visibility and permissionless execution.

Why do banks use Daml instead of Solidity?

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Banks need privacy (competitors can't see positions), authorization controls (no unauthorized state changes), and formal verification (prove correctness before deployment). Daml provides all three natively, while Solidity requires external tools and layers to approximate these features.

Can I learn Daml as a developer?

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Yes, Digital Asset provides free Daml training through docs.daml.com, including tutorials, example contracts, and a sandbox environment. Developers with experience in Haskell or functional programming will find Daml's syntax familiar.