Soda Labs

Tokenized real-world assets like stocks, treasury bills, private credit, and real estate shares are increasingly traded onchain, but current transactions expose who is buying what, when, and for how much. This transparency compromises institutional privacy and may conflict with confidentiality regulations. A confidential settlement layer based on Multi-Party Computation (MPC) enables trades to be executed and verified onchain without revealing sensitive details. Positions, trade sizes, and counterparties remain encrypted, while regulators can still verify compliance through cryptographic proofs. The result is a secure, compliant, and privacy-preserving environment that supports large-scale institutional adoption of tokenized assets.

Entities holding onchain treasury assets often struggle to generate yield without revealing their investment strategies, positions, or risk profiles on public ledgers—creating competitive and compliance concerns. A confidential treasury management layer based on Multi-Party Computation (MPC) enables yield generation and portfolio optimization directly onchain without exposing sensitive data. All calculations occur over encrypted inputs, helping ensure that allocation strategies and performance metrics remain private while maintaining verifiable compliance. The result is efficient, security-focused treasury management, allowing entities to seek competitive yields with strong data confidentiality.

Cross-border peer-to-peer transfers are often slow, expensive, and fully transparent on public ledgers, exposing personal and financial details. A confidential remittance layer powered by Multi-Party Computation (MPC) enables transfers to be processed privately and securely onchain, keeping sender, receiver, and amount information encrypted while supporting regulatory compliance. The result is faster, cheaper, and more privacy-preserving global transfers, improving financial access and security for individuals and businesses alike.

Business payments on public blockchains, such as receiving funds from customers or paying employees and service providers, expose sensitive financial details like amounts, counterparties, and payment timing. This transparency can compromise competitive strategies and employee privacy. A confidential payment layer based on Multi-Party Computation (MPC) enables businesses to send and receive payments privately, keeping transaction data encrypted while remaining auditable for tax and compliance purposes. The result is security-focused, compliant, and privacy-preserving business payments, protecting sensitive financial information across payrolls, supplier payouts, and customer transactions.

Onchain trading today exposes every position, order, and portfolio move in real time, allowing competitors, bots, and frontrunners to exploit that visibility. Traders lose their strategic edge, face higher slippage, and risk leaking sensitive information, all while needing to remain compliant and auditable. A confidential trading layer based on Multi-Party Computation (MPC) enables secure and private execution by encrypting order flow, collateral movements, and PnL data. Orders are routed through privacy-focused proxies and settled in aggregated vaults, helping ensure that no individual trader’s activity can be easily traced. The result is safer, compliant, and MEV-resistant trading that protects strategies, reduces market manipulation risks, and preserves full DeFi composability.

Institutional asset managers often struggle to generate onchain yields without exposing their portfolio composition, positions, or strategies; this is information that competitors can easily track and exploit. A confidential asset management layer based on Multi-Party Computation (MPC) enables institutions to optimize yields and rebalance portfolios privately, keeping investment data encrypted while supporting regulatory transparency through verifiable proofs. The result is secure and compliant institutional yield generation, preserving strategic confidentiality and maintaining a competitive edge in asset management.