Financial transactions rarely happen between just two parties. Take a securities transaction such as: a buyer, seller, custodian, broker, settlement provider, and asset issuer may all be involved. They need to coordinate around the same transaction, but they don't need to see the same information because the buyer needs to know what they purchased.
The custodian needs to know what it has to hold. The settlement provider needs to know what needs to be settled. But that doesn't mean every participant should have access to the complete transaction history or the private details of every other party. This creates a difficult technical requirement for financial institutions: how do you make multiple parties agree on a transaction without giving everyone access to everything?
That's one of the problems Canton Network is designed to address. Canton makes use of Daml, an open-source smart contract language created for situations in which several parties must work together while retaining control over information and actions. Daml enables developers to specify who can participate in a contract, what they can do, and what information they can see, as opposed to viewing a blockchain transaction as something that should just be exposed to everyone on the network.
That makes Daml smart contract development particularly interesting for financial applications. The value isn't just in putting a contract on a blockchain. It's in representing a financial agreement in software while keeping the underlying relationships, permissions, and data access under control.
A typical smart contract model assumes that putting transaction activity on a shared ledger creates a common source of truth. Though it works well for many blockchain applications, financial institutions, however, often have a different requirement.
A bank may need to prove that a transaction occurred without exposing its entire transaction history to another institution. A custodian may need to confirm ownership without revealing information about unrelated clients. Two institutions may need to coordinate a settlement while keeping commercially sensitive details private.
So the problem isn't simply:
"Can these parties share the same ledger?"
It's: "Can these parties coordinate on the same transaction while only seeing what they're entitled to see?"
This is where Daml takes a different approach. Rather than making every transaction visible to every participant, Daml contracts define the parties involved in an agreement and the rights associated with that agreement. Canton then uses those relationships to determine which participants receive the information needed to process a transaction.
Canton's privacy model is based on giving participants access to the transactions they are involved in rather than exposing the entire network's transaction history to everyone.
Imagine, Bank A and Bank B are settling a transaction through a shared financial application.
Bank A needs to know that this side of the transaction has been completed. Bank B needs the corresponding information. A third institution involved elsewhere in the network may not need to see either bank's private transaction details.
The application can therefore coordinate the transaction without requiring every participant to receive the same underlying data. This matters in financial services because transaction data can include commercially sensitive information, client relationships, positions, pricing, and other details that institutions may not want to expose beyond the parties that actually need them.
For a Daml blockchain development project, privacy therefore needs to be considered when the application is designed. Developers need to understand the participants in each workflow, the information each participant requires, and which actions each party is authorized to perform.
Privacy and compliance are related, but they're not the same thing. A smart contract doesn't automatically make a financial application compliant. Compliance requirements come from the business, legal, and regulatory environment in which the application operates. The technology then needs to enforce the relevant controls.
For example, a financial application may need to ensure that:
Daml can help developers encode these requirements into the application logic but technology doesn't decide whether a particular business process satisfies a regulation. That still requires the appropriate legal, compliance, and operational interpretation. This distinction is important when building compliant smart contract development solutions for financial institutions. The smart contract should reflect the institution's actual rules and controls rather than treating blockchain itself as a compliance solution.
Financial institutions already operate complex systems for trading, custody, payments, settlement, reporting, and risk management. So adopting Daml doesn't necessarily mean replacing those systems with blockchain. In many cases, the opportunity is more specific: improving a workflow where several organizations need to coordinate around the same financial agreement.
Consider securities settlement.
Several parties may maintain their own records of a transaction. Those records need to stay synchronized as the transaction moves through different stages. If each participant has a separate view of the transaction, additional reconciliation and coordination may be required to establish that everyone is looking at the same state.
A Daml-based application can represent the agreement and its current state while defining what each participant can see and what actions they can take. That's where Daml for financial institutions becomes useful. The focus isn't blockchain, it's using a contract-based application model to coordinate processes that already involve multiple parties.
The model is relevant anywhere several organizations need to coordinate around shared financial agreements. Potential applications include:
The underlying idea remains the same: multiple parties need to coordinate, but they don't necessarily need identical access to the underlying information.
Building a Daml application isn't simply a matter of converting an existing database model into smart contracts. The development team first needs to understand the business agreement being represented.
These questions influence the contract model and the application architecture.
Integration is another major consideration. A financial institution may already have trading systems, core banking platforms, custody systems, identity services, and reporting infrastructure. A Daml application still needs to exchange information with those systems.
That means Daml smart contract development often involves much more than writing contract logic. It can include application architecture, identity and authorization, API integration, workflow design, testing, monitoring, and deployment.
For a financial institution, the hardest part of adopting Daml may not be learning the language. It's deciding how Daml should fit into an existing financial application. At WebMob, we approach this from the application and business workflow first. Before building smart contracts, the team needs to understand the transaction lifecycle, the parties involved, the permissions they require, and the systems that need to connect to the application. All this involves mapping an existing workflow into Daml contracts, defining participant roles, designing authorization rules, integrating APIs and enterprise systems, and building the application around the contract layer.
For example, if a financial institution wants to improve a multi-party settlement workflow, the development process needs to account for more than the settlement contract itself. It also needs to consider how the institution's existing systems initiate transactions, how participants are identified, how transaction states are surfaced to users, and how the application handles exceptions.
This is where experience in Daml blockchain development, financial software, integrations, and application architecture can make a practical difference
Not necessarily because the useful way to think about Daml is as a language for modelling agreements between parties. Blockchain or distributed ledger infrastructure provides the environment in which those agreements can be coordinated. Daml provides a way to express the contractual relationships and rules that govern them.
For financial applications, that distinction can be useful because many of the underlying problems aren't really about blockchain, they are about coordination. Different institutions maintain different systems. They have different permissions, responsibilities, and data-access requirements. Yet they still need to agree on what happened.
Daml and Canton provide an architecture for addressing that kind of multi-party workflow without requiring every participant to have the same level of access to the underlying information.
The biggest shift isn't simply moving financial transactions onto a distributed network. It's changing how developers model the relationship between the participants involved in a transaction. Instead of building separate systems that exchange records and reconcile them later, developers can represent the underlying agreement directly in the application and define how each participant interacts with it.
That can make Daml particularly relevant for financial institutions exploring shared infrastructure, tokenized assets, settlement, custody, and other multi-party workflows. But the technology still needs to fit the business problem. Not every financial application needs a distributed architecture, and not every process benefits from smart contracts. The more useful question is whether there's a multi-party process where shared contractual logic, controlled data access, and coordinated workflows could improve the way participants work together.
For institutions exploring that possibility, the next step is to assess the existing workflow, identify where coordination breaks down, and determine whether Daml and Canton are the right technical fit.
Build With Daml and Canton
Exploring a Daml-based financial application? WebMob can help you assess the use case, design the application architecture, develop the smart contract layer, and integrate it with your existing financial systems.
Talk to WebMob about your Daml and Canton development requirements.
Daml smart contract development involves building applications in Daml to represent agreements, business rules, permissions, and interactions between multiple parties. It can be used to build financial workflows where different participants need controlled access to shared transaction states.
Canton uses Daml for applications that require multiple parties to coordinate around shared agreements while maintaining control over transaction visibility and participant permissions.
Yes. Daml is designed for multi-party applications and can be used for financial workflows involving trading, settlement, custody, tokenized assets, and other institutional processes where participants have different roles and data-access requirements.
No. Daml can help implement permissions, business rules, and workflow controls, but regulatory compliance depends on the specific business process, jurisdiction, legal requirements, and controls defined by the institution.
Daml is the smart contract language used to define the agreements and business logic of applications. Canton provides the network architecture through which those applications can coordinate between participants while supporting privacy and controlled data sharing.
Daml can be worth considering when a process involves multiple organizations that need to coordinate around the same agreements but have different permissions, responsibilities, and data-access requirements.
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