Fragmented ledgers
Tokenization, lending and custody apps all run in separate silos. No unified view of risk or exposure.
Smarton turns your Canton-native tokenization, lending and custody apps into a private, AI-powered intelligence layer. Monitor risk, exposure and yield without ever exposing raw client data.
Built for forward-thinking institutions
Why Smarton
Fragmented systems and privacy requirements make unified risk and exposure analysis difficult across tokenized assets.
Tokenization, lending and custody apps all run in separate silos. No unified view of risk or exposure.
Public chains leak too much data. Purely private systems hide everything. Neither works for regulated institutions.
Supervisors demand transparency while clients demand privacy. Manual reporting doesn't scale.
We connect Canton-native applications through explicit permissions and run federated analytics on safe meta-data.
Smarton links tokenization, lending and custody applications built on Canton into a private analytics layer. Using DAML-based disclosure permissions, only meta-data is shared—never raw client or position data. This enables a unified, portfolio-level view of risk, exposure and yield without breaking confidentiality.
Institutions get decision-ready dashboards and APIs, while retaining full control of sensitive records inside their own Canton applications.
Tokenization, lending, custody and more – connected by DAML-based disclosure permissions.
On-ledger aggregation of meta-data only. Raw client and position data remains in your own Canton apps.
Federated models for exposure, correlation, and yield optimization across tokenized assets.
Aggregate risk dashboards that satisfy supervisors without sharing client-level positions.
Product preview
Smarton simulates institutional portfolios across Canton-native tokenization, lending and custody apps. See exposures, risk bands and yield in one console before you move a single asset.
Workflow
Connect, analyze and act across Canton apps with privacy-preserving models.
Grant Smarton limited read access using DAML disclosure permissions inside your Canton apps.
Our AI engine runs privacy-preserving models on your meta-data across tokenization, lending and custody.
Use dashboards and APIs to rebalance, hedge and report with confidence.
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Built to align with existing workflows, controls and risk processes.
Consolidate Canton-native asset exposures and understand tokenized AUM in one place.
Optimize portfolio allocations across tokenized treasuries, private credit and RWA pools.
Access aggregate risk views and systemic metrics without touching raw portfolios.
Answers to the most common questions about how Smarton works alongside your Canton-native applications.
Regulated institutions cannot leak sensitive portfolio data on transparent chains. Smarton is built for confidential Canton environments where meta-data is shared explicitly and safely.
Smarton does not custody assets or move funds. We operate as an analytics layer on top of your existing Canton applications.
At launch there is no Smarton token. Our focus is product quality, institutional adoption and regulatory alignment.
Smarton plugs into your Canton-native tokenization, lending and custody applications through DAML-based disclosure permissions. You decide which meta-data Smarton can see, and connection happens over your existing Canton infrastructure — no separate chain, bridge or off-ledger sync.
Smarton works on meta-data only: positions, risk buckets, exposure flags and other derived signals. Raw client identifiers and full position books remain inside your own Canton applications. The analytics layer is designed so that supervisors get aggregate clarity while client-level data never leaves your perimeter.
Smarton is deployed in regulated cloud environments and can be operated either as a managed service or in a bank-controlled setup. Governance, audit trails and access policies are all configurable so that Smarton fits into your existing risk, compliance and IT controls.
Tell us about your Canton setup and we'll schedule a private walkthrough.