W3.io and Space and Time Collaborate to Launch Verifiable AI Finance Infrastructure

TheNewsCryptoОпубліковано о 2026-04-21Востаннє оновлено о 2026-04-21

Анотація

W3.io and Space and Time have partnered to launch a verifiable AI finance infrastructure designed to address the accountability gap in autonomous financial operations. The collaboration combines W3’s platform for creating and automating agent-powered financial workflows with Space and Time’s verifiable data blockchain, ensuring end-to-end proof from execution to settlement. This two-layer verification system processes over 200,000 operations daily and has been validated in production by Creatorland, a platform serving 100,000 content creators. The partnership enables businesses to deploy multi-vendor financial processes quickly and auditably, with support from integrations including Circle, Stripe, and PayPal. The system provides a trust layer for autonomous financial movements, ensuring data integrity and operational transparency beyond traditional cloud databases.

Today, Space and Time, the data blockchain that secures onchain finance, and W3.io, the operating system for autonomous finance, announced a production cooperation that provides business financial operations with end-to-end verifiable infrastructure. Over 200,000 operations are processed daily by the active integration.

Financial choices are being made by AI agents more quickly than businesses can keep up. Businesses are facing an increasing accountability gap as autonomous processes proliferate across suppliers, payments, and compliance systems: who approved what, when, and can you prove it? With a two-layer verification architecture that covers both workflow execution and the underlying data driving the processes, W3 and Space and Time fill that gap.

Businesses can create, automate, and manage agent-powered financial processes using W3’s platform and implement them in a day rather than months. The layer of verifiable facts underneath is provided by Space and Time. W3 verifies the workflow. The record is verified by Space and Time. When combined, they provide businesses with an unchangeable chain of proof from execution to settlement, that no single party can alter.

“You need a database that is built for accountability. Full stop,” said Porter Stowell, chief executive of W3.io. “When AI agents are moving real money across multiple vendors, the question is not whether you have a workflow. The question is whether you can prove what happened. That is what this partnership delivers.”

Creatorland, a platform that serves over 100,000 content creators, provided production validation for the cooperation. The integration processes payments, deal management, and creator remuneration at scale, managing over 200,000 workflows daily at peak demand. Both platforms were put through a stress test during deployment in real business settings.

“Enterprises are not going to hand AI agents the ability to move real money without a record they can defend in an audit. That constraint is what will separate the agentic finance platforms enterprises actually adopt from the ones they pilot and walk away from. The architecture W3 and Space and Time have built together is designed exactly for that bar,” said Nate Holiday, co-founder of Space and Time. Holiday also serves on W3’s advisory board.

Along with Circle, Stripe, MoonPay, BitGo, Paypal, and Paxos, W3’s platform has over a dozen active integrations, including Space and Time. Businesses may create multi-vendor financial processes from pre-integrated partners and deploy them with little upfront expense because to the company’s composable design.

“Our trust assumptions extend into the decentralized protocol. We have more verifiability with Space and Time than we do with a database in AWS, where we have no idea what is happening to the data behind the scenes,” said Audie Sheridan, chief technology officer at W3.io.

Money is being moved by agents more quickly than businesses can keep up. W3 enables businesses to create, automate, and manage agent-powered financial processes that can be implemented in a day rather than months. It is the autonomous financial operating system that maintains control over corporate executives. A trust layer for money that moves itself.

The data blockchain that secures onchain finance is Space and Time. Space and Time, backed by Microsoft’s Venture Fund M12, links real-world data to onchain technologies to fuel DeFi, tokenized assets, stablecoins, and institutional markets.

Пов'язані питання

QWhat is the main purpose of the collaboration between W3.io and Space and Time?

AThe collaboration provides businesses with end-to-end verifiable infrastructure for financial operations, creating an unchangeable chain of proof from execution to settlement that no single party can alter.

QHow does the two-layer verification system work in this partnership?

AW3 verifies the workflow execution while Space and Time verifies the underlying data and record, together ensuring complete accountability for autonomous financial processes.

QWhich company provided production validation for this collaboration and at what scale?

ACreatorland, a platform serving over 100,000 content creators, provided production validation, managing over 200,000 workflows daily at peak demand.

QAccording to Nate Holiday, what separates successful agentic finance platforms from those that fail?

AThe ability to provide a verifiable record that enterprises can defend in an audit, which is the constraint that separates adopted platforms from those that are piloted and abandoned.

QWhat advantage does Space and Time provide over traditional cloud databases according to W3's CTO?

ASpace and Time provides more verifiability than databases in AWS because businesses can see what's happening to their data, unlike traditional cloud databases where they have no visibility behind the scenes.

Пов'язані матеріали

The Value Distribution of Stablecoins

**Summary: The Value Distribution of Stablecoins** The article argues that stablecoins are evolving from mere trading tools into broader channels for dollar access. It divides the stablecoin ecosystem into four layers to analyze how value is distributed: 1. **Issuance Layer:** Mints stablecoins, holds reserve assets, and captures the spread between reserve yield and user costs (e.g., Tether, Circle). This layer currently earns the largest profit margin. 2. **Infrastructure Layer:** Connects stablecoins to the traditional financial system, handling fiat on/off-ramps, banking integration, compliance (KYC/AML), and asset management (e.g., Bridge, BVNK). This is the "unglamorous" but critical work, building the essential bridges between crypto and real-world finance. 3. **Acquiring/Distribution Layer:** Integrates stablecoins into merchant systems, manages payment flows, and provides enterprise financial software (e.g., Stripe, Coinbase). They act as the access point for businesses. 4. **Application Layer:** The end-users and businesses that ultimately use stablecoins for payments, settlements, or as a store of value. They benefit from convenience but have little pricing power. The core thesis is that while the issuance layer currently dominates profits, the often-overlooked **infrastructure layer holds significant long-term potential**. The real challenge and barrier to mass adoption is not the on-chain transfer of stablecoins (which is simple), but the complex "last mile" integration into existing business workflows, banking systems, and regulatory frameworks across different countries. Companies in this layer are currently in a "land grab" phase, investing heavily to build networks, secure bank partnerships, and establish compliance pathways. While their position is currently pressured by the profitable issuers above and distribution platforms below, the article suggests that if stablecoins become a default financial rail for businesses, the infrastructure providers who have done the hard work of integration will ultimately gain strong pricing power and become entrenched, essential players.

marsbit4 год тому

The Value Distribution of Stablecoins

The Value Distribution of Stablecoins The article argues that stablecoins are evolving from a mere trading tool into a broad "dollar channel." It analyzes the industry's value chain through four layers: 1. **Issuance Layer (e.g., Tether, Circle):** The top layer that mints stablecoins, holds reserve assets, and captures the thickest interest rate spread. 2. **Infrastructure Layer (e.g., Bridge, BVNK):** Connects stablecoins to the traditional financial system, handling critical but complex "dirty work" like fiat on/off-ramps, banking integration, compliance (KYC/AML), and cross-border settlement. 3. **Acquiring/Distribution Layer (e.g., Stripe, Coinbase):** Embeds stablecoins into merchant systems, manages payment flows, and integrates with enterprise software. 4. **Application Layer:** End-users and businesses that ultimately use stablecoins for payments, settlement, or storing value. The author posits that while the issuance layer currently captures the most profit, the most overlooked and potentially critical layer is infrastructure. The core challenge for stablecoin adoption isn't the on-chain transfer (which is simple), but bridging the gap between blockchain and the real-world financial system. This involves solving practical problems for businesses: fiat conversion, reconciliation, tax handling, and user onboarding. Infrastructure companies are currently in a difficult "land-grab" phase—building networks, securing banking relationships, and achieving compliance country-by-country. They face pressure from both the profitable issuance layer above and distribution platforms below. However, the author suggests this layer is building a crucial moat. Once stablecoins become a default business rail, the infrastructure players who have done the hard work of integration may gain significant, durable value and pricing power.

链捕手4 год тому

Why Is Nvidia Borrowing $20 Billion When It's Not Short of Cash?

Nvidia's recent announcement to issue at least $20 billion in senior notes, despite holding a strong cash position with over $48.6 billion in free cash flow last quarter, is not a sign of financial need. Instead, it represents a strategic move to leverage its high credit rating (recently upgraded to AA by S&P) to secure low-cost, long-term debt. This capital will support long-term AI infrastructure investments, data centers, R&D, supply chain prepayments, and strategic investments, while allowing the company to continue aggressive shareholder returns through stock buybacks and dividends. The decision reflects a mature capital management strategy: using debt to finance long-term growth assets is more efficient and less dilutive to shareholders than equity financing. It signals that Nvidia, like other tech giants (Alphabet, Meta, Amazon), is entering a new phase of heavy AI capital expenditure, shifting from a pure growth story to a story about capital allocation, credit strength, and long-term ecosystem positioning. The key question for investors is whether Nvidia can maintain its high cash flow generation and ensure that returns from these AI investments justify the cost of capital over the long term. The bond issuance amplifies its expansion capabilities but also ties its valuation more closely to the broader AI investment cycle's sustainability and profitability.

marsbit4 год тому

Why Is Nvidia Borrowing $20 Billion When It's Not Short of Cash?

marsbit4 год тому

Liberland Fires Tech Secretary After Alleged Blockchain And Website Takeover Attempt

Liberland's congress has voted to remove Technology Secretary Dorian Stern Vukotić, following a resolution accusing him of attempting to hijack the Liberland.org domain, removing administrative multisig protections, blocking the president from voting, and launching unauthorized tokens. The incident serves as a case study in blockchain governance, highlighting risks that go beyond smart contracts to include control over domains, admin keys, and off-chain authority. For the crypto industry, it underscores the need to scrutinize decentralization claims against operational realities, where a small group can still compromise governance. The story reflects a broader market shift where infrastructure security and governance are becoming as critical as price action. Editorial framing should treat the development as a verified information signal about governance risks, avoiding overstatement of Liberland's legal status and leaving room for follow-up evidence.

bitcoinist5 год тому

Liberland Fires Tech Secretary After Alleged Blockchain And Website Takeover Attempt

bitcoinist5 год тому

How to Do Research Well: Deliberately Practice the Real Skills That Matter

No one truly teaches you how to do research. You're often given a desk, a pre-selected problem, and vague instructions to "create something new." Consequently, many people reverse-engineer the job based on visible outputs—papers, posts, announcements—learning only how to *appear* like a researcher rather than how to *become* one. True research capability is built from stacking small, trainable skills, nearly all of which can be developed through deliberate practice. **Pick Your Own Problem:** Most researchers absorb problems from advisors or trends, lacking the underlying reasoning. Choosing a problem you genuinely care about, as John Schulman advises, leads to original work. Develop "taste" like a muscle: predict experiment outcomes, guess paper results from methods, and track which findings remain important over time. **Upgrade Your Inputs:** Relying on shared reading lists (arXiv hot lists, filtered group chats) leads to unoriginal conclusions. Undervalued old literature often holds crucial insights (e.g., MoE, LSTM, backpropagation). Richard Sutton's "The Bitter Lesson" or Claude Shannon's 1952 talk on creative thinking are more predictive than lengthy modern surveys. Breadth matters as much as depth: draw from neuroscience, mechanism design, hardware knowledge, and honest statistics. Read papers directly, especially appendices and limitations sections. **Write Everything Down:** As Paul Graham noted, writing exposes flaws in seemingly mature ideas. Writing is the cheapest defense against self-deception. Following Feynman's principle, Darwin programmatically wrote down facts contradicting his theory to combat memory bias. Maintain a detailed log of hypotheses, setups, predictions, results, and updated understandings. Reviewing past logs fosters essential humility.

marsbit6 год тому

How to Do Research Well: Deliberately Practice the Real Skills That Matter

marsbit6 год тому

Торгівля

Спот

Ф'ючерси