Executives
A defensible, independent record of what your AI and automated systems did — and under whose authority — designed to support governance and audit.
ProvableCORE · Evidence provenance
ProvableCORE creates verifiable provenance around decisions, evidence and machine actions — signed, content-bound, independently verifiable records — so institutions can reconstruct what happened, what was known at the time, and what can later be independently verified, under human and institutional authority.
Two ways in
One recorded decision is published as sealed record facts for anyone to read. Institutional access — evaluation, plans and integration — is granted through a controlled onboarding process.
One recorded decision from a preproduction rehearsal is published as sealed record facts, with the limitations stated on the same page. No account is needed to read it.
Access for institutions that need a defensible record of what their systems decided. Submitting a request starts a conversation with the operator; it does not create an account or issue credentials.
Why ProvableCORE
Systems can produce decisions faster than organisations can later explain, reconstruct or defend them. The value of an evidence record is not the digest it carries — it is whether the institution can answer, later and under scrutiny, what happened and what was known.
ProvableCORE is designed so an institution can answer questions such as:
What exactly was decided?
What evidence existed at that moment?
Which system, under whose authority, produced the result?
Has the record changed since it was made?
What can be independently verified — and what cannot?
Can a reviewer reconstruct the decision later?
How it works
Every governed event follows the same six stages, from capture under defined authority to a record that can be checked and replayed from the record itself.
An action or decision by an AI or automated system is captured as a governed event under defined authority.
The event's material content is bound into the record so the proof is about this exact content, not a detached reference.
A verifiable proof structure is constructed over the content-bound event.
The proof is signed under controlled, authoritative signing so its origin can be established.
The signed, content-bound proof is preserved as a durable evidence record.
The record carries what is needed to check its proof and replay its governed sequence.
Verification
A record check is read one dimension at a time. UNKNOWN is not VERIFIED. FAILED is not a warning. NOT CHECKED is not FAILED. No treatment on these sites collapses those states into a generic pass or fail.
The dimension was checked and the check passed. Verification is reported per dimension; dimensions are never reduced to a single overall result.
The dimension was checked and did not pass. Failure codes are reported verbatim, never softened into a warning.
The dimension could not be determined. An unknown is reported as unknown — it is never presented as verified.
The dimension was not run. An absent check is stated as absent, never counted as a pass.
Evidence provenance
A governance receipt is the evidence record produced for a governed event: what happened, bound to its exact content, under whose authority, where it is preserved, and what its current handling supports.
Governance receipt
Synthetic example — not a live record
evt:governed/2026/sample-0001
cb:sha-256:SYNTHETIC-EXAMPLE-DIGEST
authority: institution / role (synthetic)
proof: consistency-structure (synthetic)
sig: authoritative-signing (synthetic)
preservation: evidence-store/ref (synthetic)
seq: 000123 · ts: 2026-07-19T00:00:00Z (synthetic)
tier: signed content-bound proof (synthetic)
Synthetic. Every value in this receipt is a labelled synthetic illustration; none is a production identifier, digest or signature.
Trust model
A record carries the tier its current handling supports. Each tier is a product capability the platform is designed to provide when configured — not an unconditional guarantee about every record.
The event is captured and preserved as a durable record.
The record is part of a structure whose internal consistency can be checked cryptographically.
The record is a signed proof bound to its specific content.
The signed content-bound proof is anchored to an authoritative reference point.
The proof is held under a locked-retention regime for its defined preservation window.
Who it is for
The same record answers a different question for each reader: what was decided, under whose authority, bound to which content, and what can be independently checked.
A defensible, independent record of what your AI and automated systems did — and under whose authority — designed to support governance and audit.
Content-bound, signed evidence of governed events, with a trust-tier model and control-mapping support for your evidence requirements.
Independently verifiable records you can examine and replay, with authority context and content binding — designed to support evidence requirements, not to replace your judgment.
A proof layer you integrate at the point of a governed event: content binding, proof construction, authoritative signing, preservation, and verification/replay.
Fail-closed operation: proofs either verify or withhold; preserved records and replay let you reconstruct what happened.
The Agro Capital Standard family
Agricultural land and portfolio intelligence for institutional credit, insurance and due-diligence teams, within the Agro Capital Standard family.
Institutional credit and risk workflows in the Agro Capital Standard family, where land evidence meets decision support.
The family's proof layer: designed to provide provenance for governed decisions and to anchor the records other systems produce, so they can be examined and independently verified later.
Regulated environments
Evidence requirements
Designed to support evidence requirements in European regulated environments.
Control mapping
Control-mapping support for governance, risk, and audit frameworks used by European institutions.
Audit support
Audit support for banking and credit, EU public administration, insurance, regulated enterprise AI, and data-protection contexts.
Access is granted through a controlled onboarding process. Discuss an evaluation, review the verification model, or request technical documentation.