Kaiko Funding Draws S&P Global and DRW as 24/7 Markets Near

Kaiko funding led by S&P Global has extended the crypto data provider’s Series B to $110 million, despite unresolved questions around round-the-clock tokenized markets. DRW Venture Capital, Nasdaq Ventures, Royal Bank of Canada, and Susquehanna Private Equity Investments joined the investment. Their participation makes this more than another crypto financing announcement.

The investors represent several parts of the machinery behind capital markets. They include a financial information provider, exchanges, trading firms, banks, blockchain organizations, and post-trade technology companies. Kaiko says they will also participate in an industry working group focused on data infrastructure for tokenized markets.

The central tension is operational. Blockchain networks remain active through nights, weekends, and holidays, while many underlying securities and institutional systems follow fixed market hours. A token can move continuously, but its reference price, compliance records, corporate actions, and settlement instructions must remain dependable when the traditional market is closed.

That mismatch creates an opening for Kaiko. It also creates a difficult test. The company must show that crypto market data expertise can support regulated assets without fragmenting prices, weakening governance, or confusing continuous technical availability with genuine market liquidity.

Kaiko Funding Connects Investors Across the Market Stack

The most important feature of the Kaiko funding is the composition of the investor group, not just the round’s size.

S&P Global led the strategic investment, which extended Kaiko’s Series B to $110 million. Kaiko announced the transaction on September 14, 2026. It did not disclose the size of this extension, its valuation, or the ownership acquired by individual investors.

The investor list includes Alura Capital, BNP Paribas, Bpifrance, Broadridge, Canton Foundation, Coinbase Ventures, DRW Venture Capital, Nasdaq Ventures, Royal Bank of Canada, Stellar, and Susquehanna Private Equity Investments. Existing shareholders Anthemis, Point Nine, and Revaia also participated.

That mix spans data, banking, trading, exchange operations, blockchain networks, venture investment, and post-trade services. The strategic investment therefore links Kaiko to institutions that can influence how tokenized products reach production.

Kaiko says the participating institutions have joined a Strategic Industry Working Group chaired by the company. The group will focus on the data and infrastructure used in tokenized markets. Its exact authority, membership commitments, timetable, and intended deliverables were not detailed in the announcement.

That distinction matters. An industry working group can identify common requirements, but it does not automatically create a binding standard. Each participant still operates under its own technical architecture, risk limits, regulatory duties, and commercial incentives.

Bloomberg’s funding report described the transaction as a response to growing demand for infrastructure around continuous blockchain-based trading. The report identified Kaiko as a Paris-headquartered digital-asset data provider.

Kaiko already collects and standardizes information from crypto trading venues. The company says its regulated institutional data business covers more than 150 exchanges and protocols. Coverage alone does not guarantee data quality, but it illustrates the scale of the collection problem.

Crypto venues use different symbols, APIs, market structures, timestamp conventions, and reporting practices. Some trade continuously with deep liquidity, while others produce thin or unstable markets. Institutional users need those feeds normalized before they can compare prices or manage risk.

The new capital is intended to strengthen Kaiko’s core data business and its broader infrastructure offering. That expansion includes moving market data onto blockchains, extracting onchain activity for traditional systems, and supporting valuation or analytics across both environments.

This is where the financing creates the article’s main tension. Investors are backing a bridge between two market models before the rules and operating practices for that bridge are fully settled.

Why 24/7 Finance Creates a Data Problem

A market does not become continuously investable merely because its blockchain remains online.

Round-the-clock finance requires more than an always-available trading interface. Prices must remain current, reference data must stay consistent, and risk systems must recognize events as they occur. Collateral, margin, settlement, surveillance, and valuation processes also need dependable inputs.

Traditional financial markets developed around scheduled sessions. Exchanges publish opening and closing times. Funds calculate net asset values on defined schedules. Corporate actions follow established calendars, and many operational teams organize staffing around business days.

Crypto markets use a different clock. Trading continues through weekends and holidays, and smart contracts can execute whenever network conditions permit. A smart contract is software deployed on a blockchain that follows programmed instructions when specified conditions are met.

Tokenization brings those clocks into direct contact. The SEC defines tokenization as creating a digital representation of an asset using distributed ledger technology. Its January 2026 securities statement also stresses that tokenized instruments can use different legal structures and confer different rights.

Consider a token representing an equity, bond, or money market fund. Its blockchain record might update at any hour. However, the underlying security may stop trading overnight, its official reference venues may close, and its administrator may calculate value only at specified intervals.

That leaves infrastructure providers with several questions. What price should a smart contract use when the primary market is shut? Which source has authority during a sharp weekend move? How should the system handle a stale feed, exchange outage, blockchain reorganization, or disputed corporate action?

These are not cosmetic data issues. A lending protocol can liquidate collateral when a price crosses a threshold. A tokenized fund can calculate subscriptions or redemptions from a reported net asset value. A clearing workflow can request more collateral after a valuation change.

An inaccurate or delayed price can therefore move money. A data outage can prevent a transaction, while a corrupted feed can trigger one incorrectly. Both failures become more consequential when software acts before a person reviews the input.

Kaiko’s proposed role spans three directions. Its data on-ramp sends traditional or proprietary information into blockchain applications. Its data off-ramp converts onchain activity into formats that existing institutions can use. Its lifecycle applications address processes such as valuation, collateral, and fund operations.

An oracle is the delivery mechanism that supplies external information to a smart contract. The contract cannot independently observe an exchange order book, benchmark rate, or corporate action. It depends on an oracle and the underlying data methodology.

The difficulty is not limited to transmission. Institutions need to know where each observation originated, when it was collected, how it was normalized, and what happened when a source failed. That traceability, often called data lineage, supports audits and dispute resolution.

Kaiko says its data infrastructure can support pricing, collateral management, derivatives, stablecoin operations, and tokenized funds. These remain company descriptions of its capabilities. The financing does not independently validate performance across every proposed use case.

Still, the investor group shows why this layer has become strategically important. Exchanges need coherent price discovery. Banks need controlled records and valuation inputs. Trading firms need low-latency information, while blockchain networks need data that smart contracts can consume.

Each requirement existed before tokenization. Continuous operation combines them in a less forgiving environment.

Kaiko Funding Targets the Gap Between Market Hours and Blockchain Time

The core bet is that regulated markets will preserve familiar controls while extending their operating window through new technical rails.

That is a more precise proposition than replacing Wall Street with decentralized finance. Current institutional projects generally connect blockchains to existing legal, trading, custody, and settlement structures. They do not erase those structures.

Nasdaq’s tokenization approach illustrates the pattern. Its plan keeps tokenized securities within the same market framework as traditional versions. The instruments retain existing rights and protections, while the Depository Trust Company handles token-form clearing and settlement.

Nasdaq also said tokenized securities would use existing pricing and pre-trade data infrastructure. Its tokenization proposal stated that no separate feeds or pricing structures would be created for those securities.

That approach limits price fragmentation. A tokenized share and a conventionally settled share can access the same order book rather than developing competing pools of liquidity. It also reduces the chance that economically equivalent instruments display inconsistent prices.

However, the same design narrows the immediate role of new data systems. If exchange trading continues through established feeds and hours, the urgent requirement is integration with settlement and ownership records. Fully independent, continuous price discovery remains a later challenge.

Nasdaq has tied tokenized trading hours to its broader move toward longer equity sessions. Blockchain settlement does not itself make the exchange available every hour. Market access still depends on exchange rules, regulatory approval, operational readiness, and sufficient participation.

The New York Stock Exchange is taking a related but distinct route. Its owner, Intercontinental Exchange, has been developing a separate venue for tokenized securities with continuous trading and instant settlement. The planned round-clock platform remains subject to regulatory review.

These projects put pressure on established data vendors and newer oracle networks from opposite directions. Traditional vendors understand regulated assets, licensing, and enterprise workflows. Crypto-native networks understand continuous delivery to smart contracts and the operational behavior of public blockchains.

Kaiko is positioning itself between those camps. Its history in digital-asset data gives it experience with markets that never close. Its regulated indices and institutional clients give it a route into governance-heavy financial workflows.

That middle position is attractive, but it is crowded. Chainlink supplies oracle and interoperability services across blockchain applications. Pyth distributes market data contributed by exchanges, trading firms, and other publishers. Established financial data companies already control valuable datasets and customer relationships.

Competition will not turn on who can publish a price to a blockchain. That technical action is widely available. The harder contest concerns licensing, source quality, fallback design, confidentiality, governance, and accountability when a price becomes disputed.

Institutions may also resist a single universal architecture. A bank operating on a permissioned network can demand privacy controls that differ from those of a public blockchain application. An exchange may prefer its own feed, while an asset manager may require an independent valuation source.

Kaiko’s working group could help it discover those differences early. Investors can describe their operational requirements and identify missing controls before products launch. They can also become customers, integration partners, or distribution channels.

Yet investors do not always agree. A trading firm benefits from fast, detailed market information. A regulated benchmark administrator emphasizes methodology and reproducibility. A blockchain foundation wants applications that increase network activity.

The value of the working group will depend on whether Kaiko turns those interests into deployable specifications. Public documentation, production integrations, and repeatable incident procedures would provide stronger evidence than membership announcements alone.

This makes the Kaiko funding a mechanism story. Capital is financing the layer that reconciles continuous software execution with financial information produced under scheduled, regulated processes.

The Hard Part Is Trust During Closed Markets

The largest unresolved question is what a continuous market should treat as a reliable price when the underlying venue is inactive.

Suppose a tokenized U.S. share trades on Sunday. The company’s primary exchange is closed, but related instruments can still move. Overseas listings, sector futures, prediction markets, news events, and cryptocurrency collateral might all affect demand.

An infrastructure provider could carry forward Friday’s closing price. That is transparent but potentially stale. It could calculate an indicative price from related assets, but the result would be a model rather than an executable primary-market quote.

It could also use prices from the tokenized venue itself. That choice risks circularity when the venue lacks depth. A small trade could move the reference used for collateral or valuation, especially if the system relies on a single market.

Liquidity is the ability to trade without causing an excessive price change. Technical availability does not create it. A venue can remain open every minute while offering thin order books, wide spreads, and limited capacity for larger orders.

This is the main skeptical angle surrounding 24/7 tokenized markets. Longer access can benefit global investors, but fragmented or shallow overnight trading can weaken price quality. The blockchain records transactions faithfully, yet it cannot guarantee that the market producing them is deep or fair.

Tokenized assets also carry legal variation. The SEC distinguishes issuer-sponsored tokens from third-party tokenized entitlements and synthetic linked instruments. These formats can expose holders to different issuers, intermediaries, rights, and risks.

A data record must identify those differences. Matching a ticker is insufficient if one token represents direct ownership and another represents a claim against an intermediary. Systems need reliable instrument identifiers and legal metadata alongside market prices.

Corporate actions add another layer. Dividends, stock splits, redemptions, voting events, interest payments, and trading halts originate in traditional processes. A tokenized instrument must reflect those events accurately across every connected ledger and customer system.

Confidentiality can conflict with blockchain transparency. Public networks make some records broadly visible, while institutions protect customer identities, positions, and transaction details. Permissioned systems restrict access, but those restrictions can complicate interoperability and independent verification.

Kaiko says it can deliver confidential valuation and analytics. The company has not publicly detailed every privacy architecture or control that would apply across the networks it supports. Those arrangements will probably vary by client and deployment.

Data licensing is another constraint. Exchange data is governed by contracts that define who can receive, display, transform, or redistribute it. Putting information into a smart contract does not remove those obligations.

A feed might be technically accessible to every network participant while legally licensed to a narrower group. Infrastructure providers must reconcile software visibility with contractual permissions. This challenge becomes harder when applications compose data across networks or jurisdictions.

Then there is operational accountability. A decentralized protocol may rely on automated governance, while a bank expects a named vendor with service commitments. Both models need procedures for detecting faults, pausing calculations, correcting records, and communicating incidents.

The Kaiko funding gives the company more resources to address those requirements. It does not settle which oracle model institutions will accept, whether one standard will dominate, or how responsibility will be divided after a failure.

Regulation provides boundaries but not a full operating manual. The SEC staff’s tokenized-securities taxonomy helps identify legal structures. Exchange filings define specific market designs. Neither guarantees that continuous trading will attract enough participants to produce dependable prices.

This uncertainty explains why the investor lineup is both encouraging and insufficient. Strategic participation can accelerate coordination. Production evidence must still show that the coordination works during volatility, outages, weekends, and contested events.

Strategic Investors Put Traditional Data Vendors Under Pressure

Kaiko’s backers are signaling that blockchain data delivery is becoming a capital-markets requirement rather than a separate crypto feature.

S&P Global already operates across ratings, benchmarks, commodities data, and market intelligence. Leading this investment gives it exposure to infrastructure that transports information between traditional systems and onchain applications.

Nasdaq Ventures has a direct interest in the market architecture around tokenized securities. Broadridge operates technology used in communications and post-trade workflows. BNP Paribas and Royal Bank of Canada encounter the custody, risk, compliance, and client-service implications of new settlement models.

DRW and Susquehanna bring a trading perspective. Their businesses depend on reliable prices, liquid markets, and controlled execution. Coinbase Ventures, Stellar, and Canton Foundation represent different parts of the digital-asset and blockchain environment.

This collection puts pressure on two groups. Traditional data companies must support programmable financial applications without weakening data controls. Crypto-native infrastructure providers must meet the documentation, licensing, and governance standards expected by regulated institutions.

Kaiko is not guaranteed to win that contest. Large incumbents can develop their own blockchain delivery products or acquire specialist technology. Exchanges can retain control over their feeds, and financial institutions can build private integrations for their most sensitive workflows.

Oracle networks can also expand upward into enterprise services. Their experience with smart-contract delivery, multi-source aggregation, and automated fallback systems gives them an established technical base. Some already work with banks and market infrastructure providers.

Kaiko’s advantage rests on combining crypto market coverage with regulated data processes. The company says its infrastructure serves more than 200 institutions and regulators. That figure comes from Kaiko and should be treated as a company-reported measure, not an independent market-share estimate.

Its independent positioning also requires scrutiny. Kaiko is taking investments from institutions that can supply data, influence standards, and buy its services. Those relationships can improve product relevance, but users will want clarity about governance and conflicts.

For example, an index or reference rate should follow a documented methodology. Stakeholders need to know how sources enter the calculation, how outliers are handled, and whether an investor receives influence unavailable to other participants.

The working group’s structure will therefore matter. Transparent objectives and published technical findings would support confidence. A closed advisory forum might still improve Kaiko’s products, but it would offer less evidence of neutral industry coordination.

The broader contest is not traditional finance against crypto. Both sides are converging on hybrid infrastructure. The actual conflict is between continuous blockchain execution and the scheduled, permissioned processes that still establish many authoritative financial facts.

That conflict affects more than traders. Fund administrators need accurate asset values. Risk teams need continuous exposure monitoring. Compliance teams need identity and transaction records, while auditors need a reproducible path back to original sources.

Developers face a related burden. They cannot treat an oracle response as an unexplained number. They need to understand update frequency, fallback behavior, source diversity, licensing limits, and the conditions that can suspend a feed.

Enterprise buyers should apply the same discipline they use for other critical data vendors. They should examine service coverage, recovery procedures, historical corrections, access controls, and governance. Blockchain deployment changes the delivery environment, not the need for vendor due diligence.

The Kaiko funding suggests that established firms would rather shape this infrastructure early than wait for a market standard to appear. That is a meaningful shift, even if commercial adoption remains uneven.

Three Signals Will Show Whether the Bet Works

The next proof points are production usage, measurable liquidity outside conventional sessions, and governance that survives real market stress.

The first signal is a production deployment tied to a regulated tokenized asset. A pilot or demonstration shows technical compatibility, but a live instrument creates continuing obligations. It requires pricing, reconciliation, incident response, and support through actual market events.

The strongest evidence would identify the asset class, network, data sources, operating schedule, and responsible institutions. It would also explain how the deployment handles closed primary markets. Such disclosure would strengthen the case that Kaiko can bridge regulated data and continuous execution.

The second signal is trading quality during nights and weekends. Volume alone will not settle the question. Observers should watch spreads, order-book depth, price deviations, and the concentration of activity across venues.

Consistent liquidity outside established sessions would strengthen the argument for continuous infrastructure. Thin or erratic markets would weaken it, even if the systems remain technically available. A functioning blockchain is not equivalent to a functioning market.

The third signal is concrete output from Kaiko’s Strategic Industry Working Group. Specifications for identifiers, price-source governance, data lineage, corporate actions, and incident handling would show that investors are coordinating beyond financing.

The absence of visible output would not prove that the group lacks value. Institutions often develop infrastructure privately. However, public methodologies or shared standards would make it easier for customers and developers to evaluate the model.

Regulatory and exchange developments will shape all three signals. Longer trading sessions can create demand before fully continuous markets arrive. Tokenized settlement can expand independently of trading hours, particularly when institutions want faster collateral movement or clearer ownership records.

Readers should also separate three milestones that are often bundled together. A security can be represented on a blockchain without trading continuously. A venue can operate longer hours without using blockchain settlement. Settlement can occur faster without producing deeper liquidity.

Kaiko’s opportunity sits at the intersection of those changes. It can supply data whenever institutions add onchain records, automated valuation, or continuous risk controls. It does not need every major market to switch immediately to unrestricted 24/7 trading.

That more limited thesis is also more credible. Financial infrastructure usually changes through integrations, controlled launches, and parallel systems. Existing feeds, identifiers, custody relationships, and regulatory protections tend to persist while new rails are added.

The Kaiko funding therefore marks institutional preparation, not completion. S&P Global, DRW, Nasdaq, banks, and blockchain organizations are financing a shared infrastructure candidate before the final market design is known.

The question for buyers is practical: can Kaiko convert strategic alignment into dependable production systems with clear accountability? Watch the first regulated deployments, the quality of off-hours liquidity, and the working group’s technical output. Those signals will reveal whether this investment built a genuine bridge or simply funded another promising connection between markets that still run on different clocks.