Invoance is cryptographic proof infrastructure for compliance and finance teams. It provides a tamper-evident, independently verifiable record of events, documents, approvals, and AI outputs so regulators, boards, auditors, and lenders can verify what existed, when, and whether it changed.
The product includes an Event Ledger, a Document Anchor, and AI Attestation. Its workflow description shows records being ingested, canonicalized, hashed with SHA-256, checked for idempotency, signed with Ed25519 tenant signatures, and committed to a ledger. Documents are anchored so versions remain traceable, events are sealed into a tamper-evident ledger, and AI outputs are attested with verifiable proof. The page also says proofs can be validated independently, records are captured at the moment an action occurs, and each record includes surrounding technical context for later verification.
Invoance is presented for external scrutiny rather than only internal review. It is described as useful for contracts, invoices, compliance records, API calls, approvals, system changes, and business workflows, and it includes signed audit logs that can be filtered by actor, action, target, or date. The interface text also says every event is Ed25519-signed and can be verified offline without an account.
The site offers a Start free option and a Book a Demo option. It is described as a platform, and the page also refers to enterprise-grade audit logging that is tamper-proof by design and developer-friendly by nature.
Invoance is an Other security & compliance project. It focuses on ensuring business records, documents, and AI outputs are tamper-evident and independently verifiable for compliance. It is built as a B2B product for compliance and finance teams. There is a free tier. It ships for the web, the command line, and API.
Invoance builds and maintains Invoance, and it first shipped in 2026. The project is developed in the open on GitHub with 2 commits in the last 90 days. Among its 5 catalogued features are event ledger, document anchoring, and AI attestation. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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