Technologies

Digitizing specific information in a verifiable format.

Traditional certificates and various types of data have often been managed on paper or within closed systems, creating friction when verifying authenticity or connecting information across systems.
VCs, or Verifiable Credentials, are a mechanism that uses digital signatures to make it possible to verify the issuer and authenticity of credential information. Users can present only the necessary information to third parties, while verifiers can confirm the issuer and whether the information has been tampered with.
This enables highly interoperable and verifiable data distribution that can be used across organizations and services.

Enabling identifiers to be used without dependence on a specific managing authority, while enhancing verifiability.

In conventional digital ID management, identification information has often been concentrated under specific service providers or central administrators. This has created challenges such as difficulty in cross-system integration and increased burdens for information management.
DIDs, or Decentralized Identifiers, provide a mechanism for managing identifiers without relying on a specific central administrator. By linking identifiers with information such as public keys, DIDs allow third parties to verify identity and the authenticity of data.
This makes it possible to build an identification infrastructure with high interoperability and verifiability, even across multiple organizations and services.

Connecting fragmented records and making history and context traceable.

Across multiple organizations and systems, records may be stored in different locations and updated by different parties, making it difficult to verify the authenticity of information.
DLT, or Distributed Ledger Technology, is a technology that enables multiple participants to share and synchronize the same records, providing tamper resistance and transparency of history. By reducing dependence on a single administrator while maintaining consistency in update histories, approval paths, and chronological records, DLT offers a high level of accountability for use cases such as auditing, evidence management, and inter-organizational collaboration.

Learning patterns and relationships from data to enable advanced information processing.

Today, a wide variety of data exists, including text, images, audio, and numerical data. Organizing and utilizing this information manually requires significant time and cost.
AI is a technology that learns features and relationships from large volumes of data and performs tasks such as classification, prediction, summarization, and generation. By processing information based on its context and patterns, AI is used across a wide range of applications, including information organization, search, advanced automation, and content generation.