#54 Proposal: Praecise Trust Layer

Development Fund Proposal Submission

Proposal file: proposals/praecise-trust-layer.md

Summary

Praecise LTD proposes building the Praecise Trust Layer — a privacy-preserving decentralized identity, compliance, and interoperability protocol for the Canton Network. The protocol combines zero-knowledge proofs (Groth16), AI-powered KYC verification, hardware-backed security via Trusted Execution Environments (AMD SEV-SNP / Intel TDX), and a TEE-based cross-chain bridge enabling secure interoperability between Canton, EVM chains, and Solana.

Checklist

Proposal file added under /proposals/
Milestones and funding amounts defined
Acceptance criteria included
Alignment with Canton priorities described

Notes for Reviewers

The Praecise team are co-founders of Tenzro Labs — builders of Canton developer tools including the DAML Studio AI coding platform, with hands-on experience writing DAML contracts and shipping live applications on the Canton Network. Praecise LTD brings this deep Canton expertise to the identity and compliance domain, proposing infrastructure that is critical for institutional adoption. Requesting 762,000 CC (~$120,000 USD) over 3 months, including a third-party security audit of all cryptographic components.

hilarlcommented01-04-2026 · 6mo agoGitHub ↗

DAML Cloud IDE (re: overlap with VS Code extension)

Thank you for the feedback and for highlighting this important point.

We fully agree that the official Daml VS Code extension is excellent for local development and provides strong language support. Our own DAML Coder builds directly on that foundation as an AI layer. We have no intention of replacing either — both will remain valuable tools.

That said, the proposed DAML Cloud IDE targets a different need: a true zero-install, browser-native environment that unifies the entire DAML + Canton development lifecycle in one place.

Today, even experienced developers typically juggle:

Local DAML SDK installation and maintenance
Editor + built-in terminal for builds/tests
Separate Canton Sandbox or Devnet connection for realistic deployment and multi-party testing

The Cloud IDE removes all of that friction by offering:

In-browser DAML compilation, real-time builds, and error reporting
Interactive contract simulator for instant validation
One-click deployment directly to Canton Devnet
Deeply integrated DAML/Canton-specialized AI assistant and multi-agent system
Real-time collaboration and instant project sharing

This significantly lowers the barrier to entry, enabling developers — particularly those coming from ecosystems such as EVM or Solana — to go from zero to a working Canton deployment in minutes, without any local setup.

More importantly, this directly addresses a key bottleneck in Canton adoption: onboarding friction and time-to-first-deployment. The Cloud IDE is therefore positioned not as a replacement for existing tools, but as ecosystem infrastructure that accelerates developer onboarding and growth.

In that context, we see it as a zero-install Canton-native development environment that reduces time-to-deployment from hours to minutes.

On Praecise Trust Layer (re: overlap with existing CIPs on identity)

Thank you for the feedback — we fully agree that identity is a complex and actively developed area within Canton, and we have no intention of introducing a parallel identity standard or duplicating ongoing CIP efforts.

To clarify, Praecise is not an identity layer, but a policy-enforced delegation and execution control layer built on top of existing Canton identity primitives.

While Canton and current CIPs address identity, authentication, and privacy, there remains a practical gap in how identities can safely delegate authority to autonomous systems — particularly in agent-driven environments.

Praecise addresses this by introducing a standardized framework for delegation, enforcement, and revocation, enabling agents to act on behalf of identities under clearly defined and auditable constraints.

This is expressed through a Guardian → Agent → Policy model:

Guardian (human or institution) owns the root identity and defines permissions
Agents act on behalf of the guardian
Policies enforce boundaries such as spending limits, approval thresholds, and permitted actions, with the ability to revoke access globally and propagate changes across systems

Importantly, while aspects of delegation can be implemented at the application or contract level, Praecise standardizes enforcement across applications, agents, and integrations, ensuring consistent behavior and reducing fragmentation.

This becomes particularly critical in scenarios involving:

Autonomous payments (e.g. x402, MPP, card network integrations)
Multi-agent coordination
Cross-application workflows requiring shared policy enforcement

Praecise is designed as a complementary infrastructure layer, extending Canton's existing identity model to support secure, governed agent execution — rather than redefining identity itself.

We are fully aligned with ongoing CIP efforts, including emerging work around delegation, and are open to contributing to or integrating with those standards to ensure ecosystem consistency.

Praecise is already under active development with a concrete implementation plan, and we welcome further guidance from the committee on alignment and integration.

Proposal: Praecise Trust Layer

Development Fund Proposal Submission

Summary

Checklist

Notes for Reviewers

Milestones 3

Discussion3 comments, 0 reviews, 0 inline comments

On Praecise Trust Layer (re: overlap with existing CIPs on identity)

Proposal file proposals/daml-ide.md, 11 KB

Development Fund Proposal

Abstract

Specification

1. Objective

2. Implementation Mechanics

3. Architectural Alignment

4. Backward Compatibility

Milestones and Deliverables

Milestone 1: Core DAML Cloud IDE + AI Integration

Milestone 2: Public Release + Onboarding Suite

Milestone 3: Post-Launch Stabilization

Acceptance Criteria

Funding

Payment Breakdown by Milestone

Payment Schedule

Volatility Stipulation

Budget Assumptions

Co-Marketing

Motivation

Rationale

Journey on the board 2 moves

Timeline 10 events