Increasingly, the Internet of Things, data-rich machines, regulators, and many humans all need to establish trust and communicate with each other across organizational boundaries in a secure way.
To achieve this higher level of trust and visibility, enterprises need to refactor their core principles of data management.
Spherity’s decentralized Digital Twins enable innovative customer journeys across mobility, supply chain transparency, risk assessment, audit trails for data analytics, and many more use cases.
Each use case represents the complex application of modern data management principles to a given industry’s unique data environment: outputs from sensors, algorithms, machines, auditors, and many other human and non-human actors.
End-users can also use Spherity’s mobile phone-based identity wallet and/or our customisable web application
to organise claims, share data and process business transactions.
Create, aggregate and configure identities and Digital Twins
Use immutable event-driven data chains with complete transaction histories
Sign claims and business transactions cryptographicly secure
Share data in a Privacy-respecting way with granular access controls
Transfer the ownership of Digital Twins across organizations
Benefit from business transactions and payment settlement
Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs) combine to form our Digital Twins:
A Universal Identifier
Decentralized Identitifier (DID)
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Verifiable Datasets
Portable, auditable and signed data
controlled securely from a wallet
Unique, permanent, discoverable and verifiable decentralized identifier can serve as a lifetime address
Secure storage of verifiable data, that are cryptographically secure, privacy-respecting, and machine-readable
Multi-Party Computation for secure management of private keys and simplified transfer of ownership
Configuration service for access control and privacy of data with role based access management (RBVAC) & attribute based access management (ABAC)
Mobility
Digital Twins of cars capture vehicle lifecycle data (e.g. mileage, engine or maintenance data) that can be shared; identities of mobility ecosystem partners allow seamless mobility transactions.
Industry
Digital Twins monitor and gather machine, production line and raw materials data along the manufacturing process in a cryptographically secure way.
Logistic
Digital Twins capture, visualise and optimise the material flow in value chains; they also store and share signed business process information and regulatory documents.
Energy
Digital Twins of wind turbines enable predictive maintenance; sensor data from smart meters enable trusted business transactions.
Health
Digital Twins map a patient’s health data from different hospitals and mobile health devices for monitoring.
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