August 14, 2026 | NCFA Market Activity | Payments Infrastructure And Money Movement, SME Finance And Business Banking, Embedded Finance
Dream Payments Launches U.S. Real-Time Payouts With J.P. Morgan
On August 11, 2026, Toronto-based Dream Payments launchedDream Payouts, a U.S. real-time business payment networkwith J.P. Morgan Payments. The platform lets eligible U.S. businesses pay suppliers, contractors and other recipients using an email address, with qualifying payments delivered through The Clearing House RTP network.
Dream isn't building a new payment rail. It's putting bank accounts, supplier onboarding, payment controls and real-time payouts into software businesses already use.
That gives Dream a potentially valuable position between the bank infrastructure that moves the money and the business workflow that decides when, where and why it should move.
How Dream Payouts Works
A business enters a supplier's email address. Dream then invites the recipient into its Payee Portal, where they verify their identity with multi-factor authentication, enter and maintain their own banking information and choose how they want to be paid.
The email itself never carries payment instructions or banking details. Once enrolled, a recipient can receive future payments without the payer collecting or manually updating their account information. Eligible RTP payments can arrive in under 30 seconds, including nights, weekends and holidays. ACH and wire are available when real-time delivery isn't available or isn't selected.
Businesses can fund payments through Dream Wallet, a payments account provided through J.P. Morgan subject to eligibility and account-opening requirements. Dream also separates payment requests from payment release through roles, limits and approval workflows, while transactions are tracked from initiation through settlement. That is more useful than speed alone. Supplier payments still require banking information, approvals, payment status and reconciliation. Dream is bringing those steps into one controlled workflow.
RTP Turns Real-Time Payments Into A Software Feature
As of July 2026, The Clearing House RTP network had more than 1,322 participating financial institutions. It operates around the clock, settles payments with finality and supports transactions up to US$10 million. The network processed 142 million payments worth US$576 billion in the second quarter of 2026.
Dream Payouts identifies RTP for eligible real-time delivery. Its public launch material doesn't say FedNow is part of the current product, so the two networks shouldn't be treated as interchangeable.
Other payment infrastructure providers are also making instant-payment rails easier to access through software. The competitive question is becoming less about connecting to a rail and more about what a provider builds around it.
Dream combines a J.P. Morgan-provided payments account, recipient onboarding, payment controls and embedded distribution. Mantle shows how that can work. The family-office software platform has embedded Dream Payouts so a capital call can be reviewed, approved and paid inside the same system where the obligation is managed. The payment becomes part of the workflow instead of a separate trip to a bank portal.
Dream Payments Built From POS To Embedded Payments
Dream began in Toronto in 2014 with mobile point-of-sale technology, but its business progressively moved deeper into payment infrastructure.
In 2018, Dream and Mastercard expanded into digital insurance payouts. Northbridge Financial became the first Canadian insurer announced for the service, with Mastercard Send connecting Dream's infrastructure to claims disbursements.
In 2024, Dream launched DreamPay embedded payments across North America, bringing payment collection, payouts and orchestration into an API-based platform for financial institutions, insurers and software companies.
The J.P. Morgan relationship also predates Dream Payouts. In 2025, Dream launched a North American insurance payment network using J.P. Morgan Payments' banking infrastructure, treasury services and pay-in and payout rails.
Dream has been applying the same model in Canada. In May 2026, Dream DriverPay began rolling out with Script Runner, allowing healthcare delivery drivers to receive earnings through Interac e-Transfer for Business using an email address or mobile number.
Dream Payouts takes that operating model beyond a specific industry. The company is testing whether recipient onboarding, payment controls and bank-rail access can become reusable infrastructure for U.S. businesses and the software platforms serving them.
AI Agents Add A New Payment-Control Test
Dream says software platforms can use the infrastructure as a foundation for AI agents to initiate, approve and reconcile payments.
Dream Payouts already separates payment requests from payment release through roles, limits and approval workflows. Its public material doesn't establish that an AI agent can independently release company funds without those controls.
As AI agents enter payment workflows, the commercial question is practical: what can software initiate, what still requires approval and who is accountable when money leaves the account?
Dream Payments Expands Canadian Fintech Infrastructure Into The U.S.
Dream Payouts is a U.S. product built on U.S. banking and instant-payment infrastructure, but the company behind it remains headquartered in Toronto.
Canada shouldn't be reduced to a comparison about payment speed. Dream already uses Interac e-Transfer for Business for embedded payouts here, while its U.S. products connect to different rails and banking infrastructure.
Dream doesn't need to own the underlying rail if it can make different rails easier to use inside insurance platforms, healthcare systems, family-office software and other business applications.
Banks retain the regulated accounts and payment infrastructure while companies such as Dream compete to own more of the software, controls and workflow around each transaction.
Talking Point
If banks own the accounts and payment rails but fintechs increasingly own the onboarding, controls and software workflow around them, which layer will own the most valuable business relationship?
NCFA Company Intelligence Snapshot
Dream Payments
Embedded payment and payout infrastructure for financial institutions, insurers and software platforms
Last updated Aug 13, 2026
Company At A Glance
Founded2014
HeadquartersToronto, Ontario
Co-FoundersBrent Ho-Young, Anant Tailor and Long Van; original venture history also includes Greg Wolfond
CEOBrent Ho-Young
StatusPrivate
Capital / Funding$27.5M historical funding reported by 2018; current cumulative funding not publicly verified
Core PlatformDreamPay
ProductsPayment acceptance, payouts, orchestration, payment accounts and embedded payment APIs
CustomersFinancial institutions, insurers, software platforms and enterprises
MarketsCanada and United States
Milestones
Select a milestone to follow Dream Payments’ development
1Launch2014–2015
2U.S. Expansion2016–2017
3Insurance Payouts2018
4DreamPay2024
5J.P. Morgan Network2025
6Business Payouts2026
Milestone 1
Mobile Payments Launch (2014–2015)
Dream Payments was founded in Toronto in 2014 and initially built mobile point-of-sale technology for financial institutions and merchants.
Company
Dream PaymentsToronto financial technology company focused on digital payments
Stage
LaunchMobile point-of-sale was the first commercial product
Capital
$6M RoundEarly venture funding supported product development
Markets
CanadaInitial commercialization centred on Canadian payments
Customers
Banks And MerchantsFinancial institutions became an important distribution channel
Competition
Bank DistributionDream supplied technology that financial institutions could put in front of business customers
Additional Company Data
Dream was founded in Toronto in 2014
The original product supported mobile card acceptance
Financial institutions became an early route to business customers
NCFA Perspective
Dream started by helping financial institutions modernize merchant payments. That distribution model remains visible today: the company builds around regulated financial infrastructure rather than trying to replace it.
Milestone 2
Capital And U.S. Expansion (2016–2017)
Dream raised additional capital and expanded into the United States, investing in its payments cloud and third-party application ecosystem.
Company
Dream PaymentsThe company extended its payments infrastructure beyond Canada
Stage
U.S. ExpansionAmerican operations became a funded growth priority
Capital
$10M Series APart of $27.5M in historical funding reported by 2018
Markets
Canada And U.S.U.S. expansion began years before the current Dream Payouts launch
Customers
Financial InstitutionsBanks remained an important route to business users
Competition
Payments CloudThe product began expanding beyond a mobile payment terminal
Additional Company Data
A $1.5 million Connecticut Innovations financing preceded the Series A
The Series A supported U.S. expansion and third-party applications
Dream's U.S. strategy therefore predates Dream Payouts by almost a decade
NCFA Perspective
The U.S. market isn't new territory for Dream. The 2026 launch is better understood as a larger use of infrastructure the company has been building across both countries for years.
Milestone 3
Insurance Payments Move Into Software (2018)
Dream and Mastercard expanded the company beyond merchant acceptance into digital insurance payouts. Mastercard Send connected Dream's infrastructure to claims disbursements, with Northbridge Financial becoming the first Canadian insurer announced for the service and a Dream Claims Payments API following later in 2018.
Company
Dream Payments HubInsurance payouts became a larger part of the company's payment infrastructure
Stage
Embedded PayoutsPayment execution moved inside insurance workflows
Capital
Platform InvestmentEarlier growth capital supported payment APIs and partner integrations
Markets
Canada And U.S.The insurance strategy was designed for North American expansion
Customers
InsurersClaims teams could connect digital payouts to existing systems
Competition
Embedded ClaimsDream competed on integration and payout execution rather than payment acceptance alone
Additional Company Data
Mastercard announced the global Dream partnership in February 2018
Northbridge Financial was the first Canadian insurer announced for the service
The model gave insurers a way to digitize claims disbursements through existing systems
NCFA Perspective
This is where Dream began looking much more like infrastructure. Payment execution became a capability another company could put inside its own software and customer experience.
Milestone 4
DreamPay Platform Launch (2024)
Dream launched DreamPay as a North American API and embedded-payments platform for financial institutions, insurers and software companies.
Company
DreamPayPayment capabilities were brought together under a wider API platform
Stage
PlatformDream expanded from individual products into reusable payment infrastructure
Capital
PrivateNo new financing tied to the launch was publicly disclosed
Markets
North AmericaThe platform was launched across Canada and the United States
Customers
Banks, Insurers And PlatformsEnterprise and software workflows became core distribution channels
The platform supports payment collection, payouts and orchestration
Financial products can be embedded into partner applications through APIs
NCFA Perspective
DreamPay made the company's strategy clearer. The product was no longer a collection of payment services. It was becoming a reusable layer between financial infrastructure and business software.
Milestone 5
J.P. Morgan Insurance Network (2025)
Dream launched a North American insurance payment network using J.P. Morgan Payments' banking infrastructure, treasury services and pay-in and payout rails.
Company
DreamPay Insurance Payment HubPremium collection and claims payouts operate through one payment platform
Stage
Institutional InfrastructureDream combined its software with J.P. Morgan payment capabilities
Capital
Bank InfrastructureThe relationship expands operating capacity without Dream becoming the bank
Markets
Canada And U.S.One platform supports insurance payment workflows across both markets
Customers
Insurance IndustryCarriers, MGAs, TPAs and insurance software platforms
Competition
Bank + Fintech StackJ.P. Morgan provides banking and payment infrastructure while Dream provides workflow and integration
Additional Company Data
The platform supports both premium collection and claims payments
J.P. Morgan infrastructure supports U.S. real-time payments and ACH alongside Canadian payment methods
Insurity was identified as the first insurance software platform to embed Dream's payment services
NCFA Perspective
Dream doesn't need to become the bank to control an important part of the payment experience. J.P. Morgan supplies regulated banking and payment infrastructure while Dream puts that infrastructure inside the software insurers and businesses already use.
Milestone 6
U.S. Business Payout Network (2026)
Dream expanded its infrastructure to eligible U.S. businesses through Dream Payouts, combining a J.P. Morgan-provided payments account, supplier onboarding, RTP delivery, payment controls and software-platform integration.
Company
Dream PayoutsBusiness payout infrastructure built on Dream's wider payment platform
Stage
U.S. Business NetworkDream is extending beyond industry-specific payment products
Capital
Dream WalletPayments account provided through J.P. Morgan subject to eligibility and onboarding
Markets
United StatesAvailable now to eligible U.S. businesses
Customers
Businesses And Software PlatformsCompanies can pay suppliers, contractors and other recipients directly or through embedded software
Competition
Workflow + Rail AccessRecipient onboarding and payment controls sit alongside real-time payment access
Additional Company Data
Eligible RTP payments can arrive in under 30 seconds
ACH and wire remain available when RTP isn't available or selected
Mantle has embedded Dream Payouts for family-office capital-call workflows
Roles, limits and approval workflows control payment release
Dream positions AI agents as an emerging use case, but autonomous release of customer funds hasn't been established publicly
NCFA Perspective
Dream is competing for more of the workflow around a business payment. The commercial test is whether businesses and software platforms choose Dream as the layer connecting their operating systems to bank payment infrastructure.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
August 13, 2026 | NCFA Market Activity | Digital Assets Blockchain And Tokenization, Capital Markets Infrastructure And Funding, Regulation And Policy
Coinbase Tests How Regulated Securities Can Work Onchain
On August 11, 2026, Coinbase received Financial Services Permission from the Financial Services Regulatory Authority of Abu Dhabi Global Market to establish a regulated tokenization hub in Abu Dhabi, allowing it to arrange investment deals and provide custody for tokenized securities.
The licence gives Coinbase a regulated structure for putting share-backed securities into digital wallets while keeping investor rights, sanctions controls and securities rules attached. The real test is whether tokenized securities can work in digital wallets without losing the investor rights and controls behind them.
The Token Comes With Conditions
Coinbase says securities issued through the ADGM structure are fully backed by underlying shares and can give verified holders economic and voting rights.
The terms are more specific. Only securities that meet the prospectus's vesting conditions carry certain rights, including voting. Dividends are automatically reinvested, while redemption is limited to eligible vested holders. Investors exercising redemption also need an appropriate brokerage or bank account capable of receiving the proceeds.
The FSRA approved prospectus register shows the legal structure in practice. Coinbase Onchain SPV Ltd is listed as issuer of NVIDIA CB Certificates, ticker NVDAc, classified as Certificates over Shares. The primary prospectus was approved on August 4, 2026.
Investors therefore aren't simply holding NVIDIA shares on a blockchain. They're holding a Coinbase-issued security linked to underlying shares, with ownership rights governed by the certificate and prospectus.
That point matters as tokenized securities develop measurable business models around custody, distribution, liquidity and investor rights. The technology can change how a security is held and transferred without removing the legal machinery underneath it.
Wallet Access Doesn't Make The Security Permissionless
Coinbase says investors transacting only in these digital securities don't need to establish a traditional brokerage account or correspondent banking relationship. They need a wallet.
Every transfer is still subject to sanctions screening, and Coinbase says assets can be frozen or seized at the wallet level when required.
That puts the wallet in a different role from the early crypto idea of bypassing financial intermediaries. It becomes another way to distribute and hold a regulated security while identity, custody, corporate actions and redemption remain part of the system.
Several operating details aren't public yet. Coinbase hasn't disclosed the full range of securities, all eligible jurisdictions, the blockchain network, secondary trading venues or how freely the securities can move between third-party wallets and applications.
Those details will determine the scope of the hub as market infrastructure or it remains primarily a new distribution channel.
Tokenized Equities Are Competing On Distribution
Coinbase is entering a market where competitors are already testing different ways to connect tokenized securities with traditional market infrastructure.
The value isn't in listing another tokenized stock. It is in making issuance, custody, trading, corporate actions and redemption work well enough that investors can actually use the asset.
Coinbase brings its existing wallet, custody and trading network into that contest. It is also expanding beyond crypto into a wider financial platform, a strategy already visible in the competition between Coinbase and Robinhood across trading, derivatives and new financial products.
Canada remains a separate regulatory market. Coinbase Canada's investment platform expansion includes ambitions around stocks and other products, but the Abu Dhabi authorization doesn't establish approval or availability for Canadian investors.
Talking Point
If tokenized equities can travel through wallets but still depend on issuers, custodians, eligibility rules and redemption infrastructure, how much of the capital market has actually changed?
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
The central idea is personal empowerment. Zuckerberg argues that advanced AI should give individuals more ability to create, learn, build businesses, improve their health and pursue their own goals rather than placing most of that intelligence under the control of governments, large institutions or a handful of AI companies.
Meta's vision imagines personal agents working continuously on a user's behalf, small teams building companies that once required much larger organizations, personalized tutors, faster scientific discovery and powerful creative tools available to billions of people.
Meta wants AI capability spread widely, while the compute, models, release decisions and government relationships needed to provide it remain concentrated among a handful of organizations.
Mark Zuckerberg, Founder and CEO, Meta:
“The defining questions of our age are who will have access to superintelligence and what will we direct it towards.”
Meta Is Betting On Invention More Than Automation
One of Zuckerberg's strongest economic arguments is that AI's biggest contribution could come from helping people invent things rather than simply automating today's jobs.
Meta expects individuals to become capable of doing work that currently requires larger teams, more capital or specialized expertise. Zuckerberg predicts more small businesses, more experimentation and potentially more employment as people use AI to create products, services and jobs that don't exist today.
That is a different vision from a future where AI mainly replaces knowledge work. Meta argues that if personal agents increase people's capabilities quickly enough, workers can adapt and new demand can grow alongside automation.
For founders, that could change the economics of starting a company. Product development, research, design, marketing and operations could require fewer people and less initial capital. Small firms could reach meaningful scale much earlier.
Financial services will feel the same pressure. Meta already has AI that can plan work, connect with email and calendars and continue tasks after the user leaves. As agents gain access to financial information and connected services, permissions and accountability become part of the operating model, especially when an agent can act rather than simply advise.
Meta Thinks Distributing AI Can Also Make It Safer
The more unusual part of Zuckerberg's argument is about safety.
He rejects the idea that one centrally controlled superintelligence can be aligned to a single set of values that works for everyone. People disagree about politics, economics, culture and what makes a good life.
Meta's answer is to distribute powerful AI widely enough that people, businesses, governments and competing AI systems check one another.
It is essentially a balance of power argument. One person with vastly better legal, financial or cybersecurity intelligence could gain an enormous advantage. If many people have access to comparable capabilities, Meta argues that power becomes harder to monopolize. (There’s some irony here. Zuckerberg built his fortune by controlling access to data, distribution and network effects that others couldn’t easily replicate.)
That philosophy also influences Meta's approach to alignment. Personal agents should primarily help users pursue their own goals within legal and safety boundaries rather than enforce one company's view of what those goals should be.
Meta says it plans to build a private mode where even Meta can't access a user's information, and it intends to resume releasing some open models. It is also giving its independent board authority to approve safety criteria for model releases rather than leaving those decisions entirely with Zuckerberg or management.
Meta's existing algorithmic products are already under legal scrutiny, including a federal trial involving 29 U.S. states over alleged harm to children. Meta denies the allegations. A company asking people to trust far more capable personal agents will have to show that user empowerment, privacy and safety work in practice. Algorithmic accountability is already moving into the courts as AI and automated systems take on a larger role in people's lives.
The Vision Extends Into Government And Geopolitics
Zuckerberg's decentralization argument has limits.
He wants individuals to have broad access to powerful AI, but he also argues that the United States and its allies should retain leadership in advanced models, silicon and infrastructure. Meta supports continued restrictions on exports of leading chips to geopolitical rivals and wants U.S. policy to make it easier to build data centres and energy capacity.
He also proposes closer cooperation between frontier AI labs and government. Rather than waiting until an advanced model is finished, Meta wants labs to share intermediate model checkpoints and technical staff so governments can identify cybersecurity and other security risks earlier.
The result still leaves considerable power with governments, frontier labs and the companies that control advanced compute. Individuals would gain far more capability. Governments would receive earlier access for security purposes. Independent boards would get more authority over release standards. Frontier labs would still control development of the most capable models.
Meta's vision is therefore decentralized at the user level while retaining substantial institutional coordination at the frontier.
Meta Has To Finance The Future It Is Promising
Meta expects capital spending of US$130 billion to US$145 billion in 2026 and spent US$31.08 billion in the second quarter alone. It is investing in models, data centres, energy, networking, its own chips and outside accelerators while trying to deliver AI across products already used by billions of people.
If personal superintelligence is going to be free or affordable at global scale, someone still has to pay for the compute..
Meta wants superintelligence broadly distributed, but scarce compute still has to be allocated. Its answer is a dynamic auction for additional capacity, which means the vision of AI for everyone could still produce tiers of access based partly on what users can afford. (conflict?)
The business model hasn't been proven. Meta's second quarter free cash flow fell to US$784 million as infrastructure spending accelerated, even while its core advertising business remained highly profitable.
Meta is making these commitments under real pressure. Its infrastructure spending has climbed rapidly, the company is still building the compute capacity and custom chips needed to compete at the frontier, and its existing platforms face growing legal scrutiny.
The scale of the investment also reinforces a central tension in Zuckerberg's vision. Meta wants personal AI to give individuals more power, but only a small number of companies can currently finance the systems needed to provide it.
Canada Should Pay Attention To Access And Agency
Meta's vision has clear upside for Canada.
Canadian entrepreneurs, researchers and smaller businesses could gain access to capabilities they would never be able to finance themselves. If AI lowers the cost of creating companies, learning new skills and developing new products, a smaller economy can participate without matching U.S. frontier model spending dollar for dollar.
Canada is already debating how to keep more domestic intellectual property, capital and compute capacity while using global AI platforms. The country's AI sovereignty debate is partly about preserving enough domestic capability to avoid becoming only a customer of technology developed and controlled elsewhere.
A recent pro-human AI initiative backed by researchers, business and labour groups also argues for human agency, limits on concentrated power and accountability for AI companies. Zuckerberg reaches some similar principles from a very different starting point.
Canada needs enough choice, competition, data control and domestic capability for its companies and citizens to use increasingly powerful AI on their own terms.
Talking Point
Zuckerberg's bet is that superintelligence can give individuals more power to learn, invent, work and build. Meta has the reach and financial capacity to put that idea in front of billions of people. The cost of doing so is already putting heavy pressure on cash flow.Whether users ultimately gain more control will depend on who controls the models, data, compute and rules behind their personal AI.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
August 13, 2026 | NCFA Resource | Risk Compliance And Regtech, Artificial Intelligence And Data, Regulation And Policy
Machine Readable Rules For Compliance Systems And AI
On August 6, 2026, the UK Financial Conduct Authority launched the FCA Handbook API, giving firms, developers and RegTech providers direct access to structured Handbook data. The free service lets software retrieve current rules, guidance, technical standards and glossary content for use inside compliance and regulatory change systems.
The practical value is real. Firms no longer have to rely only on website searches, monthly downloads or manually maintained rule libraries when they want FCA source material inside their own systems. The API creates a direct route from the Handbook into software that tracks obligations, maps rules to business activities or supports AI assisted compliance work.
What It Does In Practice
The API provides structured access to the FCA Handbook, Technical Standards and Glossary. Users need a free Handbook account, and the FCA says the data can be used in firms’ own applications or through third party technology providers.
The FCA identifies several practical uses:
mapping rules to products, activities and customer journeys
tracking and comparing current and future Handbook changes
feeding regulatory and policy updates into compliance systems
supporting RegTech products with current FCA source data
providing trusted regulatory content to AI tools
AI can help retrieve, classify and compare regulatory information, but the quality of the output still depends on the source material it receives. A direct FCA data feed reduces one common problem which is compliance tools working from copied, stale or inconsistently maintained rule text.
NCFA has already identified this problem in AI powered regulatory reporting. The opportunity isn't simply to add AI to compliance work. Systems need reliable regulatory inputs, clear controls and a way to trace outputs back to the underlying rule or guidance.
The API can also reduce manual work around regulatory updates. Firms can connect Handbook content to internal rule inventories, product governance, control libraries or change management processes rather than repeatedly checking individual pages for updates.
There are some practical access conditions. Users cannot work with the API directly through the Handbook website. They need a compatible external application such as Postman or RapidAPI, or another system built to use the interface. Protected endpoints are also subject to rate limits.
Who Gets Value
The clearest users are compliance teams, legal teams, RegTech providers, financial institutions and fintechs that need FCA rules inside operational systems.
Large firms with internal technology teams can connect the data to their own compliance architecture and tailor how Handbook content is matched to business lines, products or controls.
Smaller firms may get more value indirectly through RegTech providers that use the API to improve rule monitoring, change alerts, obligation management or policy tools.
Developers and AI teams also gain a cleaner source for regulated workflows. For example, a compliance assistant could retrieve relevant Handbook content, compare current and future text, or help staff identify which internal policies may need review after a rule update.
That doesn't make the API a compliance decision engine. A system can retrieve the rule accurately and still reach a poor conclusion about how it applies to a particular firm, product or client situation. Human review, legal interpretation and internal accountability remain necessary.
Strengths And Limits
The main strength is source quality. The API automatically draws from the latest Handbook rather than requiring firms or vendors to maintain their own copy of the rulebook. That can improve consistency and reduce the delay between a Handbook update and its appearance inside a compliance system.
It is also useful that the FCA has made the service available without a separate licence fee. Firms can choose whether to connect directly or use a technology provider, which lowers the barrier for developers and RegTech companies testing new compliance tools.
The API is not a complete regulatory archive. It does not provide historic Handbook versions. Requests for past dates return an error, although current and future versions are available through the API. Firms that need a full historical record will still need the Handbook website, archive tools or their own retained records.
The API also does not cover every piece of FCA information. The FCA Handbook contains rules, guidance and standards, while other FCA publications, supervisory communications, consultations, speeches and notices remain outside that core source. Compliance systems therefore still need broader regulatory monitoring.
Direct access to current regulatory text improves the input, but it does not guarantee accurate interpretation. Firms using AI for compliance should still test outputs, keep records, control permissions and make it clear when a person needs to review the result. The IOSCO AI Supervisory Toolkit provides useful additional guidance on governance, oversight, data quality and control expectations for AI in regulated financial environments.
The FCA Handbook API is most useful when treated as authoritative source infrastructure. It can make regulatory information easier for software to retrieve and keep current, while firms remain responsible for deciding what the rules mean for their own operations.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: [www.ncfacanada.org](http://www.ncfacanada.org)
August 12, 2026 | NCFA Market Activity | Open Banking Open Finance And Data Sharing, Payments Infrastructure And Money Movement, Cross Border Payments And FX
Bank Authentication Modernizes A Familiar Canadian Payment Rail
The Canadian launch is notable because two foreign payment companies are commercializing a Pay by Bank experience here before Canada has a fully operational regulated consumer-driven banking system with payment initiation. Flywire and Trustly are improving how an existing bank payment is authenticated and started rather than waiting for Canada's future open banking payment rails.
The Canadian Payment Still Runs On PAD
Flywire's Canadian payment instructions describe a simple flow. The payer selects Online Bank Transfer in CAD, a Trustly window opens, and the payer signs into their bank. Payment details are filled in automatically and the bank can request additional verification before the payment is authorized.
Flywire says the money is normally debited within 24 hours and delivered to the institution in about five business days. Only personal bank accounts are currently supported. Business and corporate accounts aren't.
The timing tells us the product isn't an instant payment and it isn't using Canada's Real Time Rail. Flywire's own developer documentation identifies its Canadian EFT authorization as a pre-authorized debit agreement (PAD).
Trustly adds the digital layer around that debit, using bank authentication and account data to make the payment easier to initiate inside Flywire.
“Pay by Bank is a term that is too general. Generic essentially. What we really mean is Open Banking-based or -enabled payments over bank rails.”
That description fits the Canadian launch particularly well. The bank rail isn't new. The authentication, data and payment experience around it are what Trustly changes.
Large Payments Give Pay By Bank A Clear Use Case
Flywire specializes in payments where the amount, currency or accounts receivable process can be more complicated than an ordinary checkout. It currently supports more than 5,100 clients across education, healthcare, travel and B2B markets, with payments available in more than 140 currencies across 240 countries and territories.
Its platform processed US$11.4 billion in payment volume during the first quarter of 2026 alone.
Canadian payment options work differently. Flywire lets customers use Interac e-Transfer for payments up to C$3,000, and those payments can arrive quickly. Online bill payment can handle larger amounts, but the payer has to leave Flywire, find Flywire as a biller in online banking and complete the payment there.
Trustly keeps more of that process inside Flywire. The payer signs into their bank and approves the payment without having to set up a biller or copy payment details.
That can be useful for larger payments such as tuition. Flywire hasn't published one Canada-wide Trustly limit, so the amount a payer can send depends partly on the limits set by their bank.
Pay By Bank Is Arriving Before Canadian Open Banking Payments
The terminology needs care because Trustly calls the product an open banking payment while Canada's regulated consumer-driven banking framework is still being implemented.
The federal framework is designed to replace credential sharing with regulated API-based financial data access. Payment initiation, often called write access, belongs to a later phase. As of August 2026, the government is still working on the implementation rules for Canada’s consumer-driven banking framework.
Flywire's Canadian Trustly instructions, by contrast, currently ask the payer to sign into online banking through the Trustly experience. Public documentation doesn't establish that every participating Canadian financial institution is connected through a direct API.
It shows that commercial Pay by Bank services can develop before Canada's regulated framework reaches payment initiation.
The longer-term opportunity gets more interesting when the payment experience and settlement infrastructure improve together. Canada's financial infrastructure is opening to new participants, while the Real Time Rail is intended to bring instant, data-rich clearing and settlement. Flywire and Trustly are showing what fintechs can build above the infrastructure available today.
Talking Point
Flywire and Trustly aren't waiting for Canadian open banking payments to become fully operational. They're bringing an international Pay by Bank model into Canada by adding bank authentication and a cleaner payment experience to PAD infrastructure that already works. For Canadian fintechs, that shows an example of how much product innovation can happen above the payment rail before the rail itself changes.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
August 12, 2026 | NCFA Market Activity | Artificial Intelligence And Data, Capital Markets And Market Infrastructure, Competition And Market Structure
Toronto Chip Design Brings A More Specialized Inference Option
On August 6, 2026, AMD agreed to acquire Taalas, a Toronto AI chip company that designs specialized chips to run individual AI models more efficiently. The price wasn't disclosed and the transaction hasn't closed yet, as it's subject to customary closing conditions and regulatory approvals.
AMD plans to bring Taalas technology into its accelerator portfolio alongside Instinct GPUs. That's a useful clue to the strategy. GPUs remain valuable because they can handle many models and workloads. Taalas gives AMD another option for cases where a model is used often enough that more specialized hardware could lower the cost of running it.
Taalas Reduces The Work Between Memory And Compute
Running an AI model requires processors to work through huge numbers of stored parameters. On conventional accelerators, much of that data has to travel between memory and compute hardware. The transfers take time, consume power and make high bandwidth memory an expensive part of an AI system. Taalas brings more storage and computation onto the same silicon and tailors the hardware to the model being run. The design can reduce the external memory, advanced packaging and data movement required by conventional accelerator systems.
Ljubisa Bajic, Founder and CEO, Taalas:
“The production of optimal silicon for each individual model.”
Its first HC1 demonstrator runs Meta's Llama 3.1 8B model on a TSMC 6nm chip with 53 billion transistors. Taalas packages the system in a 2.5 kW server and currently provides access through a beta inference service and API.
The trade-off is straightforward. A GPU can be reprogrammed for many models. HC1 is largely built around one. It supports different context lengths and LoRA fine tuning, but a substantially different model requires another hardware implementation.
Taalas says it can turn a new model into silicon in about two months. If that process works economically at larger scale, AMD could use specialized chips for mature, heavily used models while keeping programmable accelerators for workloads that change more often.
17,000 Token Benchmark
Taalas says HC1 can generate about 17,000 output tokens per second per user on Llama 3.1 8B using a 1K input and 1K output sequence.
That's a company benchmark. Taalas ran its own HC1 result and measured the Nvidia B200 comparison itself, while several other comparison figures came from Artificial Analysis. It shows what the architecture can do on this model and configuration. It doesn't establish that Taalas hardware is faster than Nvidia or other accelerators across AI inference.
HC1 also uses a custom format combining 3-bit and 6-bit parameters. Taalas acknowledges some loss in model quality compared with GPU benchmarks and says its next generation will use standard 4-bit floating point formats.
The company also reports large advantages in power use and system cost in its comparison. Those claims haven't been independently demonstrated across a wide range of models or production environments. It makes the acquisition a calculated bet. AI companies are spending enormous amounts to train models, but every model that reaches widespread use can create an equally serious inference problem: how to serve millions of requests quickly enough and cheaply enough.
Taalas was founded in Toronto in 2023 by Ljubisa Bajic, Drago Ignjatovic and Lejla Bajic. The team brought processor experience from AMD, Nvidia and Tenstorrent, which Ljubisa Bajic previously founded.
The company raised US$50 million before emerging from stealth in 2024 and another US$169 million in February 2026, bringing reported funding to about US$219 million. Investors included Quiet Capital, Fidelity and semiconductor investor Pierre Lamond.
Taalas says 24 people developed HC1, which shows how concentrated the engineering effort behind the first chip was.
The deal adds another company to Canada's growing AI hardware record. Toronto and Waterloo based Astrus is working on automated chip design, while Tenstorrent has built a much larger processor business from Toronto.
It also follows another major Canadian semiconductor transaction. U.S.-based Qualcomm agreed in 2025 to acquire Toronto-founded Alphawave Semi for US$2.4 billion, putting another Canadian-founded chip company under foreign ownership.
AMD will control Taalas if this acquisition closes, but it has also said it plans to retain and grow Canadian talent. There is no disclosed commitment to a specific Toronto headcount or to keeping Taalas as a separate company.
That makes the Canadian issue less about whether foreign capital is inherently good or bad and more about how much ownership, intellectual property and future economic value Canada retains as its AI companies scale. Canada's own AI strategy debate has put sovereign capital and domestic IP retention directly on the table.
Talking Point
Taalas raised more than US$200 million, built working silicon and attracted a strategic buyer in about three years. Canada can clearly produce teams and technology that global semiconductor companies want. The difficult question is whether enough domestic capital, procurement and infrastructure exist for more of those companies to scale further before selling.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
August 11, 2026 | NCFA Market Activity | Wealth Investing And Trading, Digital Assets, Competition And Market Structure
A 3% Bitcoin Allocation Built Into Portfolio Growth
On August 10, 2026, the RBC iShares alliance launched IBQT, a Toronto Stock Exchange ETF combining global equities with a targeted 3% allocation to bitcoin.
BlackRock introduced its Canadian IBIT in January 2025 as a standalone bitcoin investment product. IBQT currently obtains its bitcoin exposure through IBIT, putting that exposure inside the portfolio construction process. Investors own units of IBQT rather than bitcoin itself.
Portfolio ETFs Create Another Source Of Bitcoin Demand
IBQT changes how the bitcoin allocation is made. An investor doesn't have to choose a separate crypto fund or decide independently how much bitcoin to hold. The allocation is built into the portfolio.
That creates a demand channel tied to assets entering the fund. If IBQT grew to C$100 million while maintaining a 3% bitcoin target, about C$3 million of the portfolio would represent bitcoin exposure. At C$1 billion, the same target would represent about C$30 million.
Rebalancing can create another source of allocation demand when bitcoin's portfolio weight falls below target. BlackRock has not disclosed enough detail to establish a fixed rebalancing schedule or tolerance range, so IBQT should not be treated as a predictable bitcoin buying program.
The structure is still relevant to bitcoin's long term demand base.
Capital can reach bitcoin exposure because an investor bought a diversified portfolio rather than because that investor separately decided to buy a crypto fund.
Fidelity Has Already Tested The Model In Canada
BlackRock isn't first with the idea. Fidelity's All-in-One Equity ETF, FEQT, targets approximately 97% equities and 3% cryptocurrencies and currently obtains its crypto exposure through the Fidelity Advantage Bitcoin ETF.
Fidelity also incorporates smaller crypto allocations into other all-in-one portfolios as their equity exposure declines. Its work integrating bitcoin into conventional investment infrastructure has been developing for years, including efforts to bring bitcoin into portfolio platforms rather than leave crypto entirely outside traditional wealth management.
FEQT alone had about C$5.5 billion in net assets in late July, providing evidence that a portfolio containing a small crypto sleeve can reach substantial scale in Canada.
IBQT adds BlackRock and the RBC iShares distribution platform to that competition. RBC Global Asset Management and BlackRock Canada retain separate fund management responsibilities within the alliance, which now spans more than 240 ETFs and over C$240 billion in assets.
There is also a pricing angle. IBQT launches with a 0.22% management fee inclusive of underlying iShares ETF fees. FEQT reported a 0.43% MER as of March 2026.
Bitcoin Market Check
IBQT is arriving during a much weaker bitcoin market than the environment surrounding the first wave of North American spot bitcoin ETFs.
Bitcoin was trading around US$65,000 on August 10 after a substantial decline earlier in 2026. BlackRock Canada's IBIT had grown to roughly C$390 million in net assets, giving IBQT an established Canadian bitcoin fund through which to obtain its current exposure.
Recent ETF inflows also show that investor demand can return even while bitcoin remains well below earlier highs. The growth of spot bitcoin investment products has already shown how regulated fund structures can draw both retail and institutional capital. U.S. spot bitcoin and ether ETFs attracted roughly US$1.1 billion in combined net inflows during the week leading into the IBQT launch.
Investors buying IBQT are taking on a small bitcoin allocation during a weaker market, not just after bitcoin has rallied. Portfolio inflows over the next several quarters will provide a better indication of whether this structure can attract capital across different bitcoin market conditions.
Bitcoin Price | 12-Month Market View
BTC/USD market context around the August 10, 2026 launch of BlackRock Canada's IBQT.
Chart: BTC/USD. IBQT began trading on the TSX on August 10, 2026.
Bitcoin risk remains intact. IBQT simplifies access, allocation and custody for the investor. It does not make bitcoin itself less volatile.
Talking Point
IBQT gives bitcoin access to capital that starts with a portfolio decision rather than a separate crypto purchase. Fidelity has already shown the model can reach scale in Canada. BlackRock's entry adds another channel through which growth in conventional investment products can create bitcoin exposure.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. 
