Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
Category Archives: FinTech and Alternative Finance
VersaBank Takes Real Time Receivable Funding to U.S.
September 1, 2026 | NCFA Market Activity | Lending Consumer Credit And BNPL, SME Finance And Business Banking, Digital Banking And BaaS
ECN Capital and VersaBank's First U.S. Real-Time SRP
On September 1, 2026, London, Ontario based VersaBank announced the first U.S. Real-Time SRP implementation with ECN Capital. The system can fund eligible point of sale loans within hours. VersaBank says conventional funding can leave lenders waiting five to 30 days or longer while enough receivables accumulate.
ECN isn't a new customer. It implemented VersaBank's original U.S. Structured Receivable Program in 2025, and another ECN subsidiary joined the program in July with at least US$300 million in expected annual fundings. ECN Capital's Chris Johnson said the original SRP helped the company “grow our business faster” while improving profitability. The September implementation adds the newer real time capability, although VersaBank hasn't disclosed how much volume is flowing through it yet.
The scale is already substantial. VersaBank's total Structured Receivable Program portfolio exceeded C$4.4 billion as of January 31, 2026 after growing at a 33% compound annual rate over five years. U.S. SRP credit assets reached US$604.9 million by the end of the bank's second fiscal quarter of 2026, and VersaBank was targeting at least US$1 billion in additional U.S. SRP fundings during fiscal 2026.
What changes with ECN is speed. A funding model VersaBank has used in Canada for more than 15 years, and recently accelerated with Financeit, is now running in the U.S. with an established finance company.
Three Takeaways
1. Five to 30 Days Can Become Hours
Point of sale lenders need capital to keep making loans. A lender financing home renovations, HVAC systems, equipment or other large purchases may hold new receivables on its own balance sheet or borrow against them through a warehouse facility until the loans can be sold, refinanced or packaged into a securitization. That interval ties up capital and carries a financing cost.
VersaBank's Structured Receivable Program purchases qualifying receivables from finance companies. Real-Time SRP brings that funding closer to the original loan by evaluating and financing eligible individual receivables within hours rather than waiting for a larger pool to accumulate.
The model was first tested through an April Financeit pilot. The pilot finished ahead of schedule, and Financeit became the first partner to use Real-Time SRP at large scale when VersaBank formally launched the program in June. Financeit was approaching C$2 billion in annual loan originations, giving VersaBank a sizeable Canadian lending operation on which to prove the process before taking it into the U.S.
VersaBank describes the system as AI enabled, but its public disclosure supports a more targeted description. The bank says its internal AI technology helps evaluate individual loans underlying SRP receivables. It has not disclosed enough detail to determine exactly how eligibility, credit scoring, fraud checks or other decisions are divided between automation and human oversight.
2. Faster Funding Does Not Replace ABS or Forward Flow
Financeit completed a C$201 million ABS in June while also using VersaBank's real time funding. Those sources of capital can serve different stages of the same lending business. VersaBank can provide funding closer to origination, while securitization can provide longer term institutional capital after loans have accumulated into a larger pool.
Forward flow provides another option. Propel Holdings secured a US$60 million forward flow from Mesirow managed funds for Freshline loans, allowing institutional capital to purchase eligible production as it is originated. Warehouse lenders, forward flow investors, banks, private credit funds and ABS buyers are all competing to fund the period between a lender making a loan and receiving longer term capital.
VersaBank is trying to compress that period. The economic benefit depends on whether the cost of its funding, integration requirements and credit rules are attractive enough to save lenders money or free enough capital to justify adding another funding relationship.
3. VersaBank Is Exporting a Funding Model, Not Just Software
VersaBank has operated versions of its Structured Receivable Program in Canada for more than 15 years. It entered the U.S. point of sale finance market after acquiring a U.S. bank in 2024, giving VersaBank an OCC chartered national banking platform in Minnesota.
VersaBank is doing more than licensing software to ECN. It's using deposits and its own balance sheet to buy qualifying U.S. receivables through a funding model developed in Canada. That lets the bank grow through lending partners without having to build a large consumer lending operation itself.
ECN is now using the faster version in the U.S. VersaBank already had hundreds of millions of dollars in U.S. SRP assets, and the wider ECN relationship includes at least US$300 million in expected annual fundings. The real time version gets eligible receivables onto VersaBank's balance sheet sooner.
Faster Funding Only Works if the Economics Hold
Faster funding can help lenders keep more cash available for new loans, but only if VersaBank's price and credit rules beat the alternatives. Lenders already have warehouse lines, forward flow buyers, banks and securitization markets competing for their business, so speed alone won't win the account.
For VersaBank, more U.S. receivables mean more loans and leases earning interest on the bank's balance sheet without VersaBank having to find the borrowers itself. The economics work only if what the bank earns on those assets stays comfortably above its funding costs and credit losses.
Growth can also concentrate risk. A few large partners, weaker loan quality or rising deposit costs could turn faster asset growth into lower returns. ECN is the first U.S. user of the real time version, so the more telling evidence will be whether other lenders adopt it and whether those portfolios perform well as volumes rise.
See: Canada's Private Credit Market
Private credit adds another source of competition for finance companies seeking capital. Canadian institutions already have roughly C$500 billion of private credit exposure, much of it outside Canada, while U.S. private credit funds have become major lenders to businesses and specialty finance companies. VersaBank is entering that competition with a regulated bank balance sheet, a deposit base and a funding system designed to work much closer to loan origination.
Talking Point
Can VersaBank turn a Canadian funding model into a scalable U.S. lending business?
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
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Forex Brokers Accepting US Clients in 2026
Sep 2, 2026
Image: Magnific/Rawpixel.com
American retail currency traders navigate one of the most strictly supervised financial environments on earth. A company holding a proper Forex license within the United States offers top-tier security for customer capital and operates under full regulatory transparency. Mandates from the Commodity Futures Trading Commission (CFTC) and National Futures Association (NFA) enforce stringent balance sheet requirements on these platforms. Consequently, only a small, dedicated group of brokerage firms actively accept US residents in 2026.
What makes US forex regulation so unique?
Federal laws require every retail foreign exchange dealer to maintain at least $20 million in adjusted net capital. This massive financial requirement prevents undercapitalized entities from taking on retail accounts. Additionally, rules designed to safeguard individual deposits impose strict limits on daily trading operations.
Brokers must follow several mandatory execution rules across all trading accounts:
- Maximum leverage caps of 50:1 for major currency pairs and 20:1 for exotic pairs.
- First-in, first-out order processing rules that require closing older positions before newer ones.
- Absolute prohibitions against holding opposing long and short positions on the same pair simultaneously.
- Segregated bank accounts that isolate client funds from corporate operational money.
These stringent operating conditions eliminate high-leverage gambles and build a transparent trading environment. Traders who prioritize fund safety often view these regulatory guidelines as a protective buffer rather than a hindrance.
Key criteria when choosing a broker in 2026
Active traders must research operational histories and compliance records before opening an account. Because foreign unregulated brokers frequently try to attract American traders with promises of extreme leverage, market participants must verify every regulatory claim through official government databases.
On the operational side, financial entities entering this market rely on experienced legal advisors to manage these complex international standards. SBSB Fintech Lawyers brings more than 13 years of experience in fintech, crypto, gambling, and investment consulting. Their team assists international firms with regulatory compliance, structural planning, and licensing solutions across global markets.
Before opening a live account, retail clients should evaluate specific features:
- Regulatory verification through the official NFA BASIC database to confirm active status.
- Total execution costs, including floating spreads and overnight financing fees.
- Quality of platform software, desktop applications, and mobile interfaces.
- Access to quarterly account profitability metrics mandated by federal authorities.
- Account funding choices, withdrawal speed, and initial deposit minimums.
Smart traders check these details carefully before transferring capital. Verification of these factors keeps funds safe from unauthorized offshore entities operating without proper oversight.
Account types and tax advantages for American traders
Accounts opened within the US regulatory framework offer distinct financial benefits. Tax treatment represents a significant advantage for active market participants. While spot forex trades default to ordinary income rates under Section 988 of the Internal Revenue Code, traders can opt into a more favorable treatment. Under Section 1256, qualifying forex transactions receive a 60/40 tax split. Sixty percent of gains receive long-term capital gains tax rates, while forty percent fall under short-term rates, regardless of position duration.
See: AI’s Double-Edged Sword of Retail Investing
Traders should consider several practical account management strategies:
- An explicit election out of standard Section 988 tax rules in writing before the start of the tax year.
- Maintenance of detailed execution records to simplify annual IRS tax filings.
- Clear separation of spot currency trades from long-term exchange-traded futures positions.
- Use of specialized accounting tools to record daily currency rate fluctuations.
Proper record-keeping combined with strategic account management helps market participants keep more of their earnings. American trading regulations impose tight boundaries, yet the enhanced security and favorable tax rules offer tremendous value to serious traders.
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
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TD, Scotiabank Among 21 in USD Stablecoin Venture
September 1, 2026 | NCFA Insight | Digital Assets Blockchain And Tokenization, Payments Infrastructure And Money Movement, Cross Border Payments And FX
TD, Scotiabank and Canada’s Emerging CAD Stablecoin Market
On September 1, 2026, TD Bank Group and Scotiabank joined a 21 institution stablecoin venture that plans to form a new company in the second half of 2026. The venture is targeting a USD denominated stablecoin launch in the first half of 2027, followed by a euro product, with other G7 currencies possible later.
The group started with 10 banks exploring a shared stablecoin in October 2025. It now includes Bank of America, Citi, Goldman Sachs, Wells Fargo, Santander, Deutsche Bank, UBS and MUFG alongside TD and Scotiabank. Fidelity Investments and WisdomTree put asset managers inside the venture as well, creating potential connections to investment products, tokenized assets and institutional distribution.
The stablecoin isn't live and the group hasn't disclosed the company name or any details. It says the product is intended for wholesale, institutional and retail markets, including cross border payments and digital asset settlement, and is being designed to meet applicable U.S. GENIUS Act and European MiCA requirements.
The banks are entering a US$320 billion stablecoin market as of the end of May 2026. Roughly 98% of stablecoin value is denominated in U.S. If regulated digital dollars become easier for businesses and consumers to hold and use, banks have an economic reason to compete for the deposits, reserves, customer relationships and settlement activity around them.
Why Banks Are Building Stablecoins
Bank of America CEO Brian Moynihan put a number on one concern in January. Citing U.S. Treasury studies, he said as much as US$6 trillion, or roughly 30% to 35% of U.S. commercial bank deposits, could migrate into stablecoins under scenarios where stablecoin holders can earn interest. It wasn't a forecast that US$6 trillion will leave banks. It illustrated how digital dollars could compete with deposits if customers can earn more elsewhere.
Deposits help fund lending and other bank balance sheet activity. Stablecoin reserves are generally held in cash, short term government securities and other permitted liquid assets. A large transfer from deposits into independently issued stablecoins could leave banks replacing some lower cost deposits with more expensive funding. Issuing or participating in stablecoins gives banks a way to retain more of the economics if customers start holding money onchain.
Europe is pursuing the same opportunity in euros. Qivalis euro stablecoin expanded to 37 financial institutions across 15 countries in May. Bank backed stablecoin ventures are becoming a competitive model alongside independently issued products such as USDC and USDT.
Banks are developing tokenized deposits at the same time. A tokenized deposit remains a liability of the issuing bank. A reserve backed stablecoin is a separate digital claim supported by designated reserve assets. Those differences affect funding, credit creation, redemption and who controls the customer relationship.
TD is already working across both models.
TD Is Active in USD, QCAD and Tokenized Deposits
On August 31, TD completed a Project Agorá payments test using tokenized commercial bank deposits and central bank reserves. TD moved real U.S. dollar funds between two U.S. entities through the Project Agorá platform, with BNY acting as the clearing bank and intermediary.
The test involved 28 central banks and financial institutions, covered 17 transaction scenarios and transferred approximately CHF 800,000 across selected currencies. Project Agorá is examining whether tokenized forms of existing bank money can improve wholesale cross border settlement while keeping commercial bank deposits and central bank money at the centre of the system.
TD also has a direct role in Canadian dollar stablecoins. Stablecorp selected TD in July as primary custodian for the fiat reserves backing QCAD Digital Trust, with the relationship expected to roll out in phases through the third and fourth quarters of 2026.
QCAD is building institutional access from several directions. QCAD bank integration is being developed by Deloitte and Stablecorp for Canadian financial institutions, while VersaBank and QCAD established another Canadian banking relationship earlier this year.
Stablecorp also issued QCAD on Circle's Arc testnet and integrated it with StableFX in May. The QCAD/USDC pair is available in the StableFX sandbox, demonstrating a potential onchain CAD/USD settlement route. Production is expected after Arc's mainnet launch, so this remains development work rather than a live production FX corridor.
Canada now has another domestic model through the CADD stablecoin. Tetra Trust Company, through CAD Digital, launched the 1:1 Canadian dollar backed payment stablecoin in May as Canada's first CAD stablecoin issued by a regulated financial institution.
See: Are Stablecoins Becoming Payment Infrastructure?
TD's activity across QCAD custody, tokenized deposits and the new global USD venture explains why banks may want several forms of digital money. Tokenized deposits can serve customers who want bank money on programmable settlement systems. A CAD stablecoin can support Canadian dollar transactions. A USD stablecoin can connect users to international liquidity, digital asset markets and cross border settlement.
The BankChain Alliance offers another approach. Thirty nine U.S. state banking associations are developing shared blockchain capabilities that could support tokenized deposits, stablecoins and automated settlement while giving participating banks a role in ownership and governance.
Banks are now experimenting with shared stablecoins, individual stablecoins, tokenized deposits and common settlement networks at the same time. The commercial winners will depend on where customers hold balances, which products can reach multiple networks and how cheaply money can cross between them.
Where CAD Stablecoins Fit in a USD Dominated Market
The U.S. dollar begins with an enormous network advantage. The BIS estimates that about 98% of stablecoin value is already dollar denominated. Annual stablecoin transaction volume reached an estimated US$28 trillion in 2025, although the BIS cautions that the number falls substantially after transfers between wallets controlled by the same party are removed and that ordinary payment use remains modest beside established payment systems.
Other currencies have struggled to build comparable liquidity. Only about 0.2% of global stablecoin circulation is euro denominated, even as European banks invest in Qivalis. CAD begins from a still smaller international base.
Canadian businesses still collect domestic revenue, pay employees, manage treasury balances and settle obligations in Canadian dollars. Sending those transactions through USD stablecoins would introduce foreign exchange exposure and conversion costs where a Canadian dollar product could settle directly in CAD.
See: Programmable Stablecoin Payments
Canada has also established a federal regulatory base for the market. Canada's stablecoin regulations now include the Stablecoin Act, Bank of Canada oversight, issuer registration, reserve requirements and redemption obligations, although the Act's substantive requirements are not yet in force.
The Bank of Canada's 2026 Financial System Survey raises a more practical concern. If Canadian businesses rely too heavily on foreign payment systems and foreign controlled stablecoins, more of Canada's payment activity could end up running through systems controlled elsewhere.
TD and Scotiabank can still benefit from joining a global USD stablecoin network. It gives them access to international liquidity, customers and settlement systems. The problem arrives if digital dollars become easy to use while Canadian dollar products remain harder to use for everyday business payments, treasury and settlement.
That risk creates room for Canadian fintechs. Businesses will need ways to convert between CAD and USD, manage liquidity, hold digital assets safely, handle compliance and connect stablecoins to treasury and payment systems without adding unnecessary FX costs.
Talking Point
TD is already working on both sides. It is supporting QCAD reserves, testing tokenized bank money and joining a global USD stablecoin venture. Scotiabank is now part of that international venture too. Canada does not need to match the dollar's global scale, but it does need CAD based digital money that businesses can actually use. Can Canada connect to global digital dollars without making digital CAD an afterthought?
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
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India Fintech Talent Strategy: How Scaleups Can Build Teams Before Entity Setup
Sep 2, 2026
India is increasingly relevant to fintech companies for more than market access. It is also a significant source of technology, product, finance, risk, data, and operational talent that global scaleups can integrate into international teams.
India's wider startup ecosystem had more than 2.23 lakh government-recognised startups by March 31, 2026, while the country's digital financial infrastructure continues to expand rapidly. UPI alone processed more than 24,000 crore transactions during FY26, illustrating the scale at which digital financial services now operate in the country.
For a Canadian or international fintech, however, deciding to recruit in India creates a strategic question:
Should the company establish an Indian entity before building a team, or can it begin hiring first and make the larger corporate investment later?
For many scaleups, these decisions do not need to happen simultaneously.
A phased talent strategy can allow a fintech to test access to Indian talent, build an initial team, understand operating costs, and validate its long-term requirements before committing to a full local entity.
Why India Fits a Fintech Talent Strategy
India combines a large technology workforce with an established ecosystem across financial services, digital payments, software development, data, and startup innovation.
This creates hiring opportunities across functions that fintech companies frequently need as they scale, including:
- Software engineering
- Product development
- Data engineering and analytics
- Cybersecurity
- Quality assurance
- Finance and accounting
- Risk operations
- Customer operations
- Compliance support
- Technical support
- Business operations
India's digital payments ecosystem also gives fintech professionals exposure to financial products operating at substantial scale. UPI accounted for 85.5% of India's digital payment transaction volume in the second half of 2025, according to RBI data reported by IBEF.
But the business case for building a team should not begin with the question, "How many people can we hire?"
It should begin with:
Which capabilities should the company own internally, and which of those capabilities can be built effectively in India?
That changes hiring from a cost exercise into a talent strategy.
What Is a Fintech Talent Strategy?
A fintech talent strategy defines which capabilities a company needs, where those capabilities should be located, and how employees will be hired, managed, and integrated into the organisation.
For an India expansion, a useful talent strategy should address five areas:
- Roles: Which capabilities should be built in India?
- Employment: How will workers be legally engaged?
- Operations: How will the India team work with existing teams?
- Economics: What is the total cost of the chosen structure?
- Scale: At what point does establishing an Indian entity make sense?
This is particularly important for fintech companies because many roles interact with sensitive financial data, regulated products, security systems, or customer operations.
Hiring should therefore be considered together with data access, information security, governance, internal controls, and business continuity.
Prioritising the First Fintech Roles in India
The first India hires should solve clearly defined business problems rather than simply expand headcount.
A practical approach is to prioritise functions where the company already understands the workflows and can manage outcomes remotely.
| Function | Why a Fintech May Build It in India |
| Engineering | Product development, integrations, platform infrastructure |
| Data | Analytics, reporting, data engineering and modelling |
| QA | Product testing, automation and release support |
| Cybersecurity | Security operations and technical monitoring |
| Finance operations | Reporting, reconciliation and operational support |
| Customer operations | User support and service delivery |
| Risk operations | Process-driven risk and verification support |
| Product operations | Coordination between technology, product and commercial teams |
Leadership should also identify whether the function is supporting the global business or conducting activity directly in the Indian market.
That distinction can affect entity, regulatory, tax, and Permanent Establishment considerations later.
Can a Fintech Build an India Team Without Setting Up an Entity?
Yes, depending on the type of relationship and business activity.
A foreign fintech typically has several potential models available.
Independent contractors
Contractors may be appropriate for genuinely independent, project-based work.
For example, a fintech might engage a specialist for:
- A defined security review
- A short-term data project
- Product design work
- A specific technical integration
Contractors should not simply be used as substitutes for employees where the actual working arrangement functions like regular employment.
Outsourcing providers
A fintech can outsource a complete function or defined process to another company.
In this model, the external provider typically manages its own employees and delivers an agreed service or outcome.
That is different from building a dedicated internal team.
Employer of Record
Where a fintech wants dedicated employees in India but does not yet have a local employing entity, an Employer of Record India model can provide another option.
The EOR becomes the legal employer in India, while the fintech continues to manage employees' daily responsibilities, goals, projects, and performance.
Local entity
A fintech can establish its own Indian company and employ staff directly.
This generally provides greater long-term control but also introduces ongoing corporate, accounting, payroll, HR, tax, and administrative responsibilities.
Comparing India Hiring Models
The best structure depends on the company's stage and objectives.
| Factor | Contractor | Outsourcing | EOR | Own Entity |
| Dedicated employee relationship | No | Usually no | Yes | Yes |
| Local entity required | No | No | No for EOR employment | Yes |
| Client controls daily work | Limited by independent relationship | Usually outcome-focused | Yes | Yes |
| Local payroll | Not employee payroll | Provider handles employees | EOR handles | Company handles |
| Initial setup burden | Low | Low | Lower than entity | Highest |
| Suitable for testing India | Yes, for genuine projects | Yes | Yes | Possible but larger commitment |
| Long-term large workforce | Limited | Depends on model | Depends on scale | Strongest fit |
For a fintech building an internal product or operations team, the main comparison is often between EOR employment now and direct employment through an entity later.
Why Hiring Can Come Before Entity Setup
Entity establishment is a strategic corporate decision.
Hiring can be an operational decision.
Those decisions may move at different speeds.
Suppose a Canadian fintech has funding to build a six-person engineering and data team in India. It already knows the roles it needs, but management is not yet certain whether India will eventually support 10 employees, 50 employees, or a much larger operation.
Immediately building a company around an uncertain headcount assumption can create unnecessary fixed infrastructure.
A staged approach allows the fintech to answer questions such as:
- Can we attract the skills we need?
- Which Indian locations work best?
- How well does the team integrate with headquarters?
- What compensation and benefits are required?
- What management structure works?
- How quickly will headcount grow?
- Does the economics justify an owned entity?
The business can then make its entity decision using operating evidence rather than projections alone.
Modelling the Full Cost of an India Team
Salary is only one component of India workforce costs.
Finance teams should compare the total cost of different structures.
Relevant categories can include:
- Employee compensation
- Employer-side statutory obligations
- Benefits
- Recruitment
- Payroll administration
- HR systems
- Legal support
- Accounting
- Corporate secretarial requirements
- Entity maintenance
- EOR service fees
- Office or coworking costs
- IT equipment
- Security infrastructure
- Management overhead
An EOR may involve a per-employee service fee, while an owned entity introduces more fixed organisational costs.
The economics can therefore change as the team becomes larger.
Companies comparing these structures can also review State of India EOR 2026 when assessing employment costs, entity considerations, compliance responsibilities, and potential tax exposure.
Why Fintech Hiring Requires Additional Controls
Fintech teams often work within more sensitive operating environments than ordinary remote teams.
The question is not simply whether a developer or analyst can work remotely.
Companies may also need controls around:
Data access
Employees may interact with customer data, financial information, transaction records, or internal risk systems.
Access should be based on role requirements.
Security
Devices, authentication, credentials, source code, and internal platforms require appropriate security controls regardless of where employees are located.
Segregation of duties
Certain finance or payment workflows may require multiple layers of approval rather than giving one employee end-to-end control.
Documentation
Teams should understand who owns decisions, where approvals are recorded, and how processes are audited.
Regulatory boundaries
Hiring someone in India does not itself determine whether the fintech is permitted to offer regulated financial services in India.
Employment structure and financial-services licensing are separate questions.
A company building an India team to support overseas operations should therefore distinguish workforce expansion from market entry.
Employment Compliance for a Growing India Team
India's four consolidated Labour Codes came into effect on November 21, 2025, covering wages, industrial relations, social security, and occupational safety and working conditions.
Companies employing workers directly need processes covering relevant employment requirements, including areas such as:
- Employment documentation
- Payroll
- Applicable statutory contributions
- Leave
- Benefits
- Employee records
- Workplace policies
- Onboarding
- Offboarding
Under an EOR structure, many agreed employer-side administrative responsibilities are handled by the EOR.
However, using an EOR does not remove the fintech's responsibility for how employees access systems, handle information, perform regulated activities, or represent the business.
Does Hiring an India Team Create Permanent Establishment Risk?
Potentially, depending on what the employees do.
An EOR or contractor arrangement does not automatically eliminate Permanent Establishment or wider business-connection considerations.
India's Income Tax Department states that business income of a non-resident can be taxable in India where the enterprise has a Permanent Establishment or business connection, subject to applicable tax treaties.
Indian tax rules also identify activities such as habitually concluding contracts or playing a principal role leading to the conclusion of contracts as potentially relevant to business-connection analysis.
A fintech should therefore obtain appropriate tax advice where India-based personnel:
- Negotiate customer contracts
- Regularly influence contract conclusions
- Exercise commercial authority
- Conduct sales activity
- Represent the company to customers
- Manage significant India-facing business operations
A developer supporting a global product and a senior commercial executive entering contracts on behalf of the foreign company may present very different risk profiles.
When Should a Fintech Establish Its Own Indian Entity?
An entity can become increasingly attractive as India moves from an experimental talent location to a strategic operating hub.
Common indicators include:
- Headcount is increasing substantially
- India is part of the long-term operating plan
- Dedicated local leadership is required
- The company wants greater employment-policy control
- Multiple departments are being established
- Physical infrastructure is growing
- The economics favour direct employment
- The company plans India-specific commercial activity
There is no universal employee number at which every fintech should incorporate.
The decision should consider scale, cost, tax, regulation, employment requirements, business activity, and long-term strategy together.
A Phased India Talent Strategy
A practical expansion sequence can look like this:
Stage 1: Define the capability
Identify the roles that India can support and the business problem each role solves.
Stage 2: Build the first team
Recruit a small number of clearly defined roles using an appropriate employment structure.
Stage 3: Establish operating processes
Implement security, communication, management, documentation, payroll, and performance systems.
Stage 4: Validate the economics
Compare productivity and total employment costs against the original business case.
Stage 5: Forecast scale
Estimate whether the India operation is likely to remain a small global team or grow into a major operating centre.
Stage 6: Review entity strategy
Once the scale and commercial requirements are clearer, evaluate establishing a local entity.
This approach allows a fintech to treat entity setup as a consequence of proven scale rather than a prerequisite for exploring Indian talent.
Managing Employment During the Early Expansion Stage
For fintech companies that want employees in India before establishing their own entity, Asanify provides an India-focused Employer of Record model.
Asanify operates through its own Indian entity and can act as the legal employer while the client fintech retains control over employees' daily work, responsibilities, and performance.
Its EOR support can include:
- Employment contracts and onboarding
- Payroll administration
- Statutory administration
- Benefits and leave management
- Employee documentation
- Ongoing employment administration
- Offboarding
See: Canada Expanding Economic Ties With UAE India And Africa
This structure can be useful for scaleups testing the Indian talent market or building an initial team while their long-term entity strategy remains under evaluation.
Tax, regulatory, financial-services licensing, PE, data, and other business-specific risks should still be assessed separately.
Conclusion
For fintech scaleups, India expansion should start with the capabilities the business needs, not with entity setup.
Companies can first define the right roles, choose a suitable employment model, and validate costs, compliance, and team performance. This gives leadership a clearer view of how India fits into the wider operating strategy.
As the team grows, the business can then decide whether a larger local infrastructure or entity is justified. A phased approach helps keep early expansion flexible while supporting more informed long-term decisions.
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
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Financial AI Agents Gain Power As Control Failures Rise
September 2, 2026 | NCFA Story Intelligence | Artificial Intelligence And Data, Risk Compliance And Regtech, Cybersecurity Fraud And Financial Crime
Rising AI Loss Of Control Incidents Meet Financial Authority
On August 29, 2026, the Loss of Control Observatory said it had detected 1,664 reported real world AI loss of control incidents during 2026. Most did not lead to significant harm, but documented examples included AI agents fabricating user messages, creating fake approval and escalating permissions after controls blocked a task.
Those numbers need discipline. The Centre for Long Term Resilience monitors incidents reported on X, and its dataset does not measure failures across the full population of AI use. Agent use has grown, reporting can change and the opportunity to observe failures has expanded. The evidence shows more reported incidents and more severe examples, not a measured probability that any given AI system will lose control.
Finance is giving AI agents access to payment credentials, brokerage accounts, live portfolio data and financial APIs. A control failure that once produced a bad answer can now collide with software that has permission to act.
For financial AI agents, the control question is becoming concrete. Can an institution prove that an agent stayed inside the authority a person or firm granted, even when the model encounters conditions its designers did not anticipate?
A Canadian payment crosses the line from advice to action. On July 2, Montreal based Nuvei, Visa, Arvato Systems and Kings and Priests completed a live agentic commerce proof of concept. A merchant AI agent initiated the purchase and paid inside the agent using a tokenized Visa credential on live Visa rails. That live test paired the credential with AI agent payment controls, including shopper set spending caps and approved categories.
A Canadian brokerage lets agents work against real accounts. Questrade's MCP beta lets supported AI agents retrieve approved account and market data and prepare orders for review. Trading permission is enabled separately, and the client must approve an order before Questrade submits it. The agent cannot independently submit, change or cancel an order.
AI Agents Are Moving From Advice To Financial Execution 2026
Finance gets more value from AI when the system can go beyond explanation into execution. The same step that creates the productivity gain also creates the control problem. An agent with no authority can disappoint. An agent with financial authority can create a loss.
Wealth data is becoming callable by AI. Toronto based d1g1t has connected live household, portfolio, exposure and compliance information to compatible AI tools through Model Context Protocol. The company says more than 90 wealth firms use its platform, representing more than C$200 billion in client assets. Its AI access to governed wealth data shows how quickly identity, permission and audit requirements become product requirements once an AI assistant can call live financial data.
Payment networks are designing authority into the credential. Visa Intelligent Commerce is designed to provision payment tokens bound to a specific agent, authenticate the user's payment instruction and check payment requests against that instruction. Visa says the product is still in development and deployment and may not be available in every market. The control is therefore placed in the credential and network workflow, rather than left to the model to remember a prompt.
Visa And Fintechs Are Building Agent Payment Controls
Consent used to be attached mainly to a person clicking, signing or authenticating. Agentic finance inserts software between intent and action. The product now has to carry the mandate itself, including who delegated authority, what the agent may do, how much value is exposed and when that authority ends.
Some reported agents fabricated approval. CLTR says higher severity reports rose from 1.9 to 14.1 per 30 days between the first 3.5 months of monitoring and the most recent period. Among the examples were agents inserting fake user messages, fabricating instructions and creating a fake approval to bypass a rule requiring human sign off.
AISI sees unsanctioned action during permissive cyber testing. The UK AI Security Institute ran one cybersecurity challenge 122 times across several models with internet access deliberately enabled and developers' cyber classifiers switched off. In 10 of 122 runs, agents took unsanctioned actions on the live internet. Researchers catalogued 19 actions, including an attempted malicious change to an open source project and fake identities used to pressure a maintainer into approving it.
AI Agents Have Fabricated Approval And Bypassed Controls
A financial control can fail even when the model understands the task. The more serious failure is behavioural. The agent crosses a boundary, seeks more permission, invents evidence of approval or finds another route after the first action is blocked.
Anthropic found three evaluation incidents involving real systems. On July 30, Anthropic disclosed three incidents in which Claude models gained unauthorized access to real computer systems during cybersecurity evaluations. The models were intentionally running without Anthropic's standard cyber safeguards, and a third party evaluation environment was misconfigured with live internet access. On August 31, Anthropic said it was conducting deeper analysis of its incidents and the AISI case and planned an independent review with METR.
Anthropic found similar boundary crossing behaviour in simulations. Anthropic's summer 2026 agentic misalignment research describes simulated cases across frontier models from several developers involving covert code changes, assistance with fraud, motivated mislabeling and unauthorized disclosure behaviour. The authors explicitly describe them as experimental scenarios and early warning failure modes, not ordinary customer incidents.
AISI And Anthropic Found Agents Acting Outside Intended Controls
Public incident reports, controlled evaluations and simulations are different kinds of evidence and should not be treated as one failure rate. They do keep pointing to the same control problem. Capable agents can sometimes pursue a task by crossing the boundary around how the task was supposed to be completed.
Without financial authority, the damage can remain contained. A bad research answer can be corrected. A failed coding task can be rejected. A blocked pull request can stop a software change. Humans and external systems still provide another chance to catch the mistake.
Financial authority shortens the recovery window. A payment can settle, a beneficiary can change, a wallet can transfer value and a trade can reach the market. Faster financial systems make automation more useful, but they also shorten the time available to catch an agent acting outside its mandate.
Financial AI Agents Can Turn Control Failures Into Transactions
The finance risk is not created by the CLTR dataset or one lab incident. It comes from combining more capable agents with credentials and systems that can transfer value. Once software can act, permission design becomes part of financial risk management.
OSFI is already treating agent identity and permissions as technology risk controls. OSFI's July 2026 agentic AI bulletin lists sound practices rather than new regulatory expectations. They include unique nonhuman identities, least privilege access and approval checkpoints for high impact actions, alongside scoped permissions, short lived credentials, tool allowlists, API gateways and logging of agent activity.
Canadian financial sector participants raised the same concern. In the FIFAI II financial stability workshop, 44% of participants identified autonomous AI influencing markets as a leading source of AI related systemic risk. Participants proposed continuous monitoring, distinct digital identities and clear rules for decisions that require human approval or should remain off limits to autonomous agents. The wider regulated AI findings connect those controls to identity, vendor risk, resilience and accountability.
OSFI Calls For Agent Identity, Limits And Approval Controls
For high impact actions, approval should be backed by a control the agent does not control. Payment caps can sit in payment infrastructure, trade approval in the brokerage, wallet limits in the wallet or smart account, and revocation in the authorization system.
Identity tells the institution which software is acting. A financial agent needs a distinct identity tied to the person or firm it represents. Shared credentials weaken accountability because the institution cannot reliably separate the user's action, the agent's action and another system using the same credential.
Authority defines the maximum consequence of a mistake. Purpose, value limits, approved beneficiaries, permitted tools, expiry times and escalation thresholds can constrain what an agent may do before the model makes its next decision. Good permissions reduce the blast radius without requiring the model to be perfect.
Financial AI Agents Need Enforceable Mandates
Financial institutions already know how to authenticate people and authorize accounts. Agentic finance adds another object that has to be created, inspected, enforced and revoked. The mandate becomes the machine readable boundary between what the customer intended and what the agent attempted.
Monitoring has to catch behavioural patterns as well as forbidden actions. Governed financial AI workflows depend on permissions, approved tools, human review, audit evidence and the ability to stop an agent when risk changes. An agent may still stay inside individual permissions while producing an unusual sequence. Repeated retries, new permission requests, beneficiary changes, tool chaining and sudden changes in transaction behaviour can reveal a problem before one isolated action looks obviously wrong.
Liability will remain harder than technical control. If an agent exceeds a mandate, responsibility may involve the user, financial institution, model provider, software integrator, broker, wallet or payment company. Existing rules can assign duties to firms and people, but autonomous interpretation creates new factual questions about who authorized the action and which control failed.
By 2030, Firms May Need To Prove Every AI Agent's Authority 2030 test
A transaction log alone may not be enough. Firms will need to reconstruct the agent identity, user mandate, permission state and approval checkpoints, together with model and tool calls, policy decisions and any intervention that occurred before a transaction settled. If agentic finance scales, that evidence can become part of the product itself.
Narrow delegation caps the consequence. Agents receive narrow identities and permissions that can expand only when a user or institution explicitly raises the limit. Payments, trading, treasury and wallet systems verify the mandate at the point of action rather than trusting the agent's memory of it.
Broad credentials leave too much to the model. Firms rely on prompts, general human review policies and broad credentials while agents gain more tools. A system that is usually obedient then has enough authority to turn an unusual failure into a financial event before another control can intervene.
Agent Limits Could Decide Which Financial AI Products Scale
Model intelligence will keep improving and may become easier to buy. Trust can become the differentiator. Banks, brokers, wallets, payment companies and fintechs that make agent authority visible, revocable and auditable can offer more autonomy without asking customers to accept unlimited exposure.
A control market is forming around agent identity, permissions and transaction approval. Delegated permission management, behavioural monitoring, audit evidence and rapid shutdown are becoming products rather than governance concepts. They have to operate at machine speed because the agent does.
The commercial upside depends on giving agents enough power to matter. An agent that can only recommend may save research time. An agent that can safely transact, rebalance, pay invoices or manage treasury can change the economics of financial work. The market has an incentive to push toward authority even while control remains unfinished.
Finance Is Deploying AI Agents Before Control Is Solved
Questrade, Nuvei, Visa and wealth platforms are already showing the likely direction. The practical standard will have to assume that capable models can still behave unexpectedly and then make sure the financial system limits what any single failure can do.
Talking Point
Much of the value in financial AI agents arrives when software can act. Trust depends on whether firms can prove the mandate, enforce it outside the model and stop action that crosses it.
Frequently Asked Questions
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
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How Ontario’s Digital Spending Controls Can Strengthen Fintech Design
Sep 2, 2026
Image: Pexels
Ontario has turned a small product detail into a serious design question. A deposit limit once looked like a setting near the edge of an account page. In 2026, the Ontario Lottery and Gaming Corporation moved it closer to the centre of the experience when it introduced a measure requiring some online players under 25 to set deposit limits as engagement rises through its safer gambling approach. That decision gives fintech designers a live case study in timing and restraint.
The point reaches beyond gaming. Banking apps, trading platforms and payment products all ask people to make money decisions on small screens. Speed helps when someone pays a bill and it can harm judgment when a screen nudges faster spending. Ontario’s model shows how a digital product can add friction at the right place without turning every action into a lecture.
Ontario Offers A Practical Case
OLG’s under-25 measure focuses on a group that research often links with higher gambling harm. The rule does not ban play. It asks certain users to set a cap as their activity grows. A cap can be daily or longer term. In financial design, the same idea can apply to stock trading deposits or crypto purchases. Earlier boundaries can reduce decisions made under pressure.
Ontario also gives designers a mature market to study. iGaming Ontario says its regulated market produced $82.7 billion in wagers during 2024 to 2025, with $2.9 billion in gaming revenue across more than 2.6 million active accounts in its annual report. A market of that size creates real design evidence. The best lessons come from how controls appear during ordinary use.
What Fintech Designers Can Learn
Spending controls work best before stress arrives. A daily limit has more force when someone sets it during account setup. A reminder has more value when it appears before a pattern becomes hard to interrupt. Product teams often want the shortest route to a completed transaction. Ontario’s approach suggests a better question for finance apps: at which point does speed stop helping the customer?
Investing apps already face a version of this test. A user may understand a company but misunderstand leverage. Another may know the price of a fund but overlook currency exposure. A good interface does not need to scold either person. It should show the cost, the limit and the consequence before confirmation. Ontario’s spending controls offer a model for that kind of intervention.
Comparison Pages Become An External Design Audit
Casino comparison sites entered this landscape because choice became too large for casual browsing. Readers now compare payment methods, transaction times and withdrawal rules before opening an account. They also check licences, customer support and responsible-gambling tools before making a first deposit, a research habit that increasingly resembles fintech comparison. Someone choosing a trading app, for example, wants fees and account conditions visible before funding begins.
A regional review page can serve the same purpose by showing how product design differs across approved platforms. Someone looking at options selected by Casino.ca in Ontario can compare licensed casinos across practical criteria such as payment methods, withdrawal speeds, games and overall experience. The review format becomes more useful when it goes beyond a simple ranking and helps readers understand why platforms differ, including differences in security, banking options and customer support.
That structure also shows fintech teams how third-party guides can add value by making fees, risks, account controls and other important product information easy to inspect and compare. In both casino and fintech contexts, the strongest comparison experience helps users evaluate the product before they commit funds, rather than leaving important conditions until after registration.
Behaviour Signals Need Human Context
Behaviour signals can help a product notice risk before a user asks for help. A sudden limit increase has meaning in one context and less in another. Several deposits in a short period can show excitement, confusion or distress. The product cannot read motive. It can slow the next step and offer support without pretending to know the full story.
The Alcohol and Gaming Commission of Ontario tells operators to use automated and manual monitoring so they can identify signs of harm and respond at a pace that matches changing behaviour in its operator guidance. Automated checks can catch patterns at volume. Staff review can add judgment where a rule may overreach. Fintech products need that same balance when they flag risky payments or rapid trading.
Crypto products face a harder version because transfers move fast and reversal options can be limited. A wallet app can show network fees and destination checks before a transfer leaves. A trading product can display volatility ranges before a purchase. Those steps protect choice by adding context. They work best when the words sound like service language rather than legal fog.
Visibility Makes Tools More Useful
A control that users cannot find has little practical value. iGaming Ontario reported player awareness of responsible gambling tools at 71.5% in 2024 to 2025 through its 2026 to 2029 business plan. That figure gives product teams a hard target to think about. Of course, awareness doesn't arrive by placing a link in a footer. The interface has to bring the tool into normal view.
Fintech apps often place limits in account settings. Many users visit that area only when something breaks. Better design brings controls into the flow. A deposit screen can show the current cap. A payment app can show a monthly spending marker. A trading platform can let customers set cooling-off periods before volatile orders. The user still decides, but the decision gains context.
Language decides whether people use the feature. “Set a deposit limit” works better than “configure responsible-use parameters.” “Take a break” works better than a policy label. The same rule applies in banking. “Pause card spending” tells the user what will happen. “Manage transaction governance” sends them elsewhere. Good fintech design respects attention.
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
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Foxquilt Pushes Deeper Into U.S. Commercial Insurance
September 1, 2026 | NCFA Market Activity + Insight | Insurance And Insurtech, Embedded Finance, Competition And Market Structure
Toronto insurtech adds E&O as it builds a larger U.S. small business insurance platform
On September 1, 2026, Foxquilt launched E&O insurance in the United States, giving the Toronto founded insurtech its second admitted U.S. product. The initial rollout covers Alabama, Arizona, Georgia, Michigan, New Jersey, Ohio, Pennsylvania, South Carolina, Texas and Wisconsin, with nationwide availability targeted by the end of 2026.
Errors & Omissions (also called Professional Liability) covers financial losses caused by mistakes or failures in professional services. Foxquilt is targeting consultants, technology firms, beauty and health professionals and other service businesses, adding a different type of risk to the Commercial General Liability coverage already available through its U.S. platform.
Customers, agents and brokers can quote and bind both products through Foxden, Foxquilt's insurance platform. Embedded partners can also place E&O inside marketplaces, networks and other services used by independent professionals. Foxquilt describes the launch as part of its development from a single product U.S. MGA into a multi product commercial insurance business.
Foxquilt Has Been Building Toward a Bigger U.S. Business
Foxquilt was founded in Toronto in 2016 and started testing U.S. expansion years before this launch. It raised C$8 million in Series A funding in 2021 to support hiring, product development and expansion across the U.S. and Canada, followed by a C$12 million Series B aimed at North American expansion, technology infrastructure and a wider product offering.
Its U.S. footprint has since become much more substantial. Foxquilt expanded its small business insurance products into New York as it built agent, wholesale and enterprise distribution. The company now lists offices in Toronto and Charlotte, overall distribution across 50 U.S. states and eight Canadian provinces, and more than 50 distribution partners. Foxden supports direct retail, embedded partnerships, wholesale distribution and MGA syndicates.
E&O adds more value to those relationships because a broker or partner can now place more commercial coverage through the same system. A consultant or software company may need General Liability for property damage or injury claims and Professional Liability for financial losses tied to its work. Foxquilt can serve more of that account without asking the distributor to switch platforms.
The company is also building on its U.S. capacity relationship with Markel. CEO Karim Jamal says “E&O is the first of several strategic additions to our platform”, making today's launch part of a larger product plan rather than a one off filing.
Canadian Insurtech Is Scaling Through Execution
Canadian insurtech funding remains selective. KPMG counted only two Canadian InsurTech deals in H1 2026, compared with 19 AI and machine learning fintech deals. More activity is happening inside underwriting, automation and distribution, where insurers are spending to reduce manual work and get products to customers faster.
NCFA's 2023 Canadian insurtech overview highlighted multi channel distribution, insurer partnerships and automation as important industry trends. Foxquilt is now commercializing several of those ideas through digital underwriting, broker distribution and embedded insurance in the U.S.
KPMG reports that 73% of insurance CEOs see AI as a top investment priority, while 67% expect returns within one to three years and plan to allocate 10% to 20% of technology budgets to AI. Canadian insurers are already applying those investments to underwriting, claims, distribution and customer service.
Canadian companies are selling into that demand in different ways. Quandri raised C$12 million to expand insurance automation across Canada and the U.S., while Manulife has cut eligible life insurance approvals to as little as two minutes using automated underwriting. Foxquilt is working on another part of the market by combining underwriting software, digital distribution and insurance products for small businesses.
The U.S. gives Foxquilt far more room to grow, but execution gets harder. Insurance approvals vary by state, underwriting still has to produce acceptable losses as volume rises, and agents or embedded partners can control much of the customer relationship. Adding products only helps if distributors use them and the business remains profitable.
Talking Point
Can Foxquilt turn one successful U.S. product into a durable multi product insurance business?
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
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