Tokenization arrives onchain for institutions — AMA recap with Redbelly Network

cointelegraph发布于2025-12-18更新于2025-12-18

文章摘要

Sponsored content: During a Cointelegraph AMA, Redbelly Network and AMAL Trustees discussed how tokenization and deterministic finality can modernize institutional asset workflows, moving beyond manual processes like spreadsheets and delayed reconciliations. The conversation highlighted the shift from experimental pilots to production-grade tokenization infrastructure, particularly in regulated markets and private credit. A key focus was Project Acacia, a Reserve Bank of Australia CBDC pilot, where a smart asset-backed security demonstrated streamlined issuance, servicing, and secondary trading on a single source of truth. Redbelly's deterministic consensus ensures irreversible settlement and high throughput, while its zkIdentity system enables compliance checks without exposing private data. The partnership aims to upgrade asset lifecycle management by combining Redbelly's technical infrastructure with AMAL's fiduciary expertise.

Sponsored Content

Routing trillions in assets through spreadsheets and monthly reconciliations creates delays, blind spots and operational risk. During a recent Cointelegraph AMA, Alan Burt, executive chairman of Redbelly Network, and Luke Andersen, chief product officer at AMAL Trustees, outlined how tokenization and deterministic finality can streamline these workflows without breaking existing fiduciary responsibilities.

“It’s 2025 — institutions should not be relying on email-based confirmations and delayed reconciliations when assets and cash move,” Andersen said, stressing that infrastructure must now match the scale and speed of capital markets.

From experiments to an endorsed infrastructure

The discussion began with an overview of the state of institutional tokenization. Over the past two years, administrators, asset servicers and central banks have moved from lab pilots to production-grade initiatives. For Redbelly, the focus is on regulated markets and private credit, where much of the infrastructure still runs on siloed databases and manual processes.

Burt explained that Redbelly set out to bring “all the lovely things we like in permissionless DeFi” to regulated environments, with an identity and custody layer that enables collateral mobility under existing rules. He pointed to private credit and alternative assets as a starting point, where tokenization can structure workflows and prepare assets for broader distribution over time.

Andersen added that for AMAL and IQ-EQ, tokenization has shifted from an innovation theme to a board-level agenda: “Tokenization is no longer treated as a moonshot experiment, but a strategic infrastructure upgrade that C-suite and board committees are actively exploring.”

Project Acacia: smart ABS and CBDC settlement on a public chain

A central part of the AMA focused on Project Acacia, the Reserve Bank of Australia’s CBDC pilot, where Redbelly and AMAL/IQ-EQ implemented a smart asset-backed security (ABS). The goal was to show how tokenized assets and wholesale CBDC can simplify issuance, servicing, reporting and secondary trading.

Burt walked through the current flow in securitization: an originator runs a loan book, a bank provides warehouse funding and a trustee then manages payments to multiple investor tranches. Each party maintains separate systems and reconciles data every month. In Project Acacia, the underlying loans, the ABS structure and secondary trading all moved to a shared infrastructure.

“What this allowed us to do is connect the originator, the warehouse and the trustee on a single source of truth, and then add secondary trading on the Australian Bond Exchange,” Burt said. “You know exactly what you’re holding and can see through to the underlying assets before you price or impair it.”

Andersen described the pilot as a proof point for the trustee’s role in tokenized markets, showing how fiduciary oversight and digital execution can coexist. Securitization still relies on trust law and investor protection, but tokenization compresses timelines, reduces manual breakpoints and replaces document-driven flows with embedded rules, eligibility checks and deterministic settlement.

Deterministic finality, zkIdentity and a shared control layer

The AMA then turned to infrastructure requirements and risk management. For institutions, throughput alone is not enough; they need predictable costs, audit-ready accountability and guarantees that every transaction resolves in a single, irreversible state.

Burt explained Redbelly’s deterministic consensus and fixed gas model, which are designed for capital markets workloads. All validator nodes propose transactions to each other and agree on a combined “super block” before it is committed, which removes forks and reorganizes risk. This approach, developed through research at the University of Sydney and the CSIRO, Australia’s national research lab and backed by a patent, has been benchmarked at over 97,000 transactions per second with zero transaction loss under stress tests.

“We believe settlement is the core competency of the network,” Burt said. “Institutions need to know that once a block is created, there are no rollbacks, and that each transaction executes in the right sequence.”

Both speakers highlighted Redbelly’s zkIdentity system as another key piece. Rather than duplicating KYC and eligibility checks at every venue, users receive verifiable credentials that prove, in zero-knowledge, that they meet requirements for a given product or jurisdiction. Eligibility is checked at the network layer, while underlying data remains private and issuers still operate within their licences.

For AMAL/IQ-EQ, this addresses a structural compliance problem. Andersen noted: “zkIdentity lets us verify eligibility at the network layer without exposing private data, which enables regulated markets to operate on public rails while keeping controls and safeguards in place.”

The partnership between Redbelly and AMAL/IQ-EQ combines this technical foundation with existing licences, balance sheet strength and established transaction flows. AMAL Trustees brings the fiduciary role, legal enforceability and reporting obligations; Redbelly provides the shared ledger, deterministic settlement and identity layer. Together, they position tokenization as an upgrade to the way asset lifecycles are managed and funded.

相关问答

QWhat is the main problem that tokenization and deterministic finality aim to solve for institutional asset management?

AThey aim to solve the problems of delays, blind spots, and operational risk caused by routing trillions in assets through spreadsheets, email-based confirmations, and manual monthly reconciliations.

QAccording to the AMA, how has the perception of tokenization changed at institutions like AMAL and IQ-EQ?

ATokenization has shifted from being treated as a moonshot experiment to a strategic infrastructure upgrade that is now a board-level agenda, with C-suite and board committees actively exploring it.

QWhat was the goal of Project Acacia, the pilot project with the Reserve Bank of Australia?

AThe goal was to demonstrate how tokenized assets and a wholesale CBDC can simplify the issuance, servicing, reporting, and secondary trading of a smart asset-backed security (ABS) on a shared infrastructure.

QWhat are two key technical features of the Redbelly Network that make it suitable for institutional use?

ATwo key features are its deterministic consensus mechanism, which provides irreversible settlement and removes fork risk, and its zkIdentity system, which allows for verifiable eligibility checks without exposing private user data.

QHow does the partnership between Redbelly Network and AMAL/IQ-EQ combine their respective strengths?

AThe partnership combines Redbelly's technical foundation (shared ledger, deterministic settlement, identity layer) with AMAL/IQ-EQ's existing licenses, balance sheet strength, established transaction flows, fiduciary role, legal enforceability, and reporting obligations.

你可能也喜欢

Anthropic全球警告,OpenAI已跨“可靠性阈值”:AI自我加速启动

AI领域出现重要警告与发展洞察。Anthropic发出全球警告,指出AI递归自我改进进程加速,已接近“自己造自己”的临界点,呼吁减缓研究。 与此同时,OpenAI后训练团队负责人Yann Dubois在访谈中揭示了关键内部视角: 1. **能力提升是连续线性,但实用性感知是跳跃的**。AI能力在达到“可靠性阈值”前如同玩具,跨越后则成为可托付工作的可靠工具。OpenAI被认为在去年12月左右跨过了此阈值。 2. **AI正进入自我加速循环**。模型能力提升后,本身已成为研发的有力工具(如辅助编程),从而加速下一代模型的开发,形成越转越快的正反馈回路。 3. **AI构建更像“手艺”而非纯科学**。在硬核领域,经验、直觉和反复试错(类似“炼金术”)目前扮演关键角色,科学解释常事后补足。 4. **垂直应用(Harness)价值巨大,甚至能触及AGI体验**。Dubois认为,若冻结现有模型,仅通过精心打磨针对特定领域的编排系统,即可在许多场景中实现类似通用人工智能(AGI)的效果。当前瓶颈常在于“最后一公里”——权限、数据连接与业务流程集成,而非模型智能本身。 5. **持续学习仍是核心挑战**。模型难以像人类一样在特定环境中持续学习和优化,其学习曲线容易趋于平缓,这是亟待解决的重要问题。 综上,AI发展已迈过关键可靠性门槛,进入自我加速阶段,同时为垂直领域的深度应用与集成创造了巨大机遇与挑战。

marsbit1小时前

Anthropic全球警告,OpenAI已跨“可靠性阈值”:AI自我加速启动

marsbit1小时前

交易

现货
合约
活动图片