The foundation every other layer builds on: data whose source, version, licence and permissions are recorded and can be verified.
Who created the data and where it came from.
Which version, and its modification history.
Who may access it, for which purpose.
Whether use for AI processing or training was granted.
Every access and model call that touched it.
Where it is stored and under which jurisdiction.
Original business data, documents and model materials stay in secure databases or cloud environments that meet privacy and business requirements.
For critical data, a unique hash, version, timestamp, source, authorisation status and verification record are kept — enabling integrity checks and long-term traceability without moving the data itself.
Hashing, digital signatures, trusted timestamps and distributed ledgers are technology options for verification, not the platform’s identity.
A not-for-profit, rights-verified data platform giving AI agents reliable access to Australian pricing, index and trade data — every figure traceable to its source.
On DNY infrastructure: A public-interest data service built directly on the Trusted Data Space and its verification mechanisms.
View ventureDigital notary infrastructure for Australia’s livestock export industries — turning existing records into tamper-proof credentials that buyers, banks and regulators can trust.
On DNY infrastructure: Applies Trusted Data Space provenance and permission controls to agricultural records — an early future-vertical use case.
View ventureA building-materials and supply-chain venture connecting suppliers, manufacturers, builders and trade partners, with a showroom and warehouse in Sydney.
On DNY infrastructure: Product records, certifications and test reports feed the open built-environment data model in the Trusted Data Space.
View ventureTrusted AI is AI whose data sources, model versions, permissions and actions can be verified, traced and audited. At DNY it is delivered through a Trusted Data Space and verifiable infrastructure rather than through claims of accuracy.
A Trusted Data Space is a governed environment where data is shared under recorded provenance, versions, licences and permissions, so organisations can collaborate on data without giving up control of it.
Hashing, digital signatures, trusted timestamps and distributed ledgers are technology options for verification where they add value. They are tools inside the trust layer, not the identity of the platform.