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Silence Laboratories

Silence Laboratories

Company UEN Number

201938700D

Geographical Markets Served

Argentina, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Croatia, Czechia, Denmark, Estonia, Finland, France, French Polynesia, Germany, Greece, Hong Kong Special Administrative Region, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Malaysia, Netherlands (Kingdom of the), New Zealand, Norway, Philippines, Poland, Portugal, Qatar, Republic of Korea, Russian Federation, Singapore, South Africa, Spain, Sweden, Switzerland, Thailand, Türkiye, Ukraine, United Arab Emirates, United Kingdom of Great Britain and Northern Ireland, United States of America, Viet Nam

Industry Served

Banking

Financial Services and Insurance

Government

Healthcare

ICT and Media

Marine & Offshore

Sea Transport

Telecommunication

Solution Categorisation

Detect-Anomalies and Events

Detect-Security & Continuous Monitoring

Identify-Asset Management

Identify-Risk Assessment

Protect-Access Control

Protect-Data Security

Protect-Information Protection & Procedures

Company Description

Silence Laboratories, a privacy technology and infrastructure company based in Singapore, provides algorithms and product suites using distributed computation and authorisation technologies, particularly multi-party computation (MPC).

Silence Laboratories (SL) boasts one of the fastest threshold signatures and authorization libraries in production, safeguarding digital assets worth billions. SL’s libraries and infrastructure enable enterprises to collaborate on data without transferring it to a trusted party, thereby opening avenues for monetisation and the development of innovative products. With partners across various sectors including finance, digital assets, and data industries, SL is creating a data-sharing and computation ecosystem where consent and privacy-preserving analysis are mathematically coupled, ensuring compliance and security. SL is a preferred choice by enterprises owing to its developer-friendly libraries and application-agnostic privacy-preserving collaboration tools.

Product Description

Businesses want to offer personalised products and services to their customers, leveraging as much data and insights on them as possible. However, more often than not, data of a customer is scattered across multiple companies, including competitors. The challenge lies in collaboration on this siloed data, which is restricted due to competition between businesses, and rising privacy regulations.

Using deep-tech cryptographic infrastructures based on Multi-Party Computation (MPC), Fully Homomorphic Encryption (FHE), and Zero Knowledge Proofs (ZkP), our product allows analytics to be performed on distributed datasets, without ever moving/exposing the data, or trusting any third party for processing it, ensuring “encryption of data in use”. It mathematically guarantees computation that never invades a customer’s privacy, yet unlocks a plethora of insights and offerings for the customers. Additionally, the product introduces verifiable consent for computation using a programmable and auditable link between consent and compute.