Proposal: CompliLedger — Proof Infrastructure for Canton

Development Fund Proposal Submission

Proposal File

Proposal: https://github.com/Mharris40/canton-dev-fund/blob/proposal-tokenproof/proposals/compliledger.md

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Summary

CompliLedger is an AI-powered proof infrastructure platform that transforms requirements, targets, and context into deterministic decisions and independently verifiable proof.

Today, organizations repeatedly perform the same work.

They determine which requirements apply, gather evidence, evaluate controls, prepare reports, respond to audits, and demonstrate outcomes across internal controls, governance programs, contractual obligations, industry standards, regulatory frameworks, counterparties, and customers.

Much of this work is repeated because the underlying evidence, evaluations, and decisions are not portable.

The result is duplicated effort, fragmented processes, inconsistent audit evidence, and significant operational overhead.

CompliLedger automates this process through AI-driven deterministic reasoning.

The platform determines applicability, identifies the appropriate control set, orchestrates evidence collection, validates and normalizes evidence, evaluates controls, and produces deterministic decisions.

Those deterministic decisions become portable.

Portable decisions are transformed into standardized, machine-verifiable proof that can be independently verified and reused across organizations, frameworks, jurisdictions, and digital ecosystems.

The result is operational proof.

Proof enables verification.

Verification enables confidence.

Confidence is earned because proof exists.

CompliLedger is regulation agnostic. The architecture begins with requirements—not regulations—and supports internal controls, governance requirements, contractual obligations, asset registry controls, custodian controls, industry standards, and regulatory frameworks through a common deterministic reasoning and proof-generation architecture.

Rather than requiring every issuer, custodian, tokenization platform, transfer agent, settlement application, enterprise, or regulator to repeatedly perform the same reasoning and evaluation, CompliLedger enables organizations to reason once, generate proof once, verify independently, and reuse proof across multiple stakeholders and workflows.

This proposal focuses on production-hardening the CompliLedger proof infrastructure architecture for the Canton Network. The core architecture and proof-of-concept are already implemented and functioning on a local Canton ledger. Funding is requested to complete production hardening, ecosystem integration, SDK delivery, security review, and MainNet readiness rather than greenfield development.

Repository (Apache 2.0): https://github.com/Compliledger/canton_tokenproof

Architecture: https://github.com/Compliledger/canton_tokenproof/blob/main/docs/architecture.md

CI: https://github.com/Compliledger/canton_tokenproof/actions

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Why Shared Ecosystem Infrastructure Matters

Today, every organization independently performs the same fundamental work.

They determine which requirements apply.

They identify applicable controls.

They collect evidence.

They evaluate controls.

They generate decisions.

They prepare audit artifacts.

They respond to regulators, auditors, customers, counterparties, and governance bodies.

Although these activities are repeated across organizations, the underlying reasoning process is largely the same.

As a result, organizations repeatedly build their own:

• applicability determination engines
• control evaluation logic
• evidence orchestration workflows
• evidence validation services
• proof generation capabilities
• verification mechanisms

This creates:

• duplicated engineering effort
• repeated evidence collection
• fragmented verification practices
• inconsistent audit evidence
• higher implementation costs
• operational overhead
• reduced interoperability between organizations

CompliLedger standardizes these capabilities through a reusable proof infrastructure architecture.

Rather than repeatedly performing the same reasoning and evaluation, organizations can automate deterministic reasoning, generate reusable proof, and enable independent verification through a common platform.

The result is:

• automated deterministic reasoning
• reusable machine-verifiable proof
• elimination of redundant evidence collection
• independent verification by multiple stakeholders
• accelerated audits, regulatory reviews, and business workflows
• proof portability across organizations, frameworks, and jurisdictions
• reusable, composable proof that can support multiple assurance processes

Instead of every participant independently building evidence pipelines, evaluation engines, proof generation, and verification infrastructure, the Canton ecosystem gains a shared foundation for transforming requirements, controls, and evide