G
Grant AtlasCanton Development Fund
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Proposal: Verifiable Institutional Data Access

SubmittedPR
SIG
party-portability-data-resilience
Champion
Author org
Ask
18,000,000
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Abstract

This proposal seeks to provide structured, analytics-ready access to Canton on-chain data (e.g. CSV, flat files, Parquet, etc), enabling institutional-grade analytics, BI, compliance, and research workflows similar to data platforms serving public blockchains. By ensuring fully verifiable data outputs, it addresses a critical infrastructure gap aligned with Canton’s enterprise and regulatory focus. The central challenge is designing an architecture that preserves Canton’s permissioned privacy model while delivering trustworthy, structured exports-creating a high-leverage foundation for the ecosystem if successfully implemented.

Milestones

TitleDue dateTargetAmount (CC)
Architecture & Data Specification3,000,000
Core Extraction Engine (MVP)3,000,000
Privacy Filters & Enterprise Connectors3,000,000
Production Hardening & Documentation- Structured reporting9,000,000
Total18,000,000
Budget impact
% of available
10.7%
% if all RFV pass
10.8%
Ask (CC)
18,000,000

Comments by org

1 comment · 1 org · last activity Apr 30, 2026

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Data Nexus1
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