Karsten Wenzlaff, Advisor
August 26th, 2025
September 15, 2026 | NCFA Insight | Capital Markets And Market Infrastructure, Competition And Market Structure, Public Sector Policy And Industrial Strategy

Today, on September 15, 2026, Canada's first Canada Investment Summit 2026 commitments reached nearly $500 billion across Canadian pension funds, insurers, banks, investment funds and a major AI infrastructure project. The September 14–15 summit in Toronto also brought together investors from nearly 30 countries managing more than $100 trillion in assets.
The $500 billion isn't one pool of foreign equity. It combines institutional investment, bank financing and capital mobilization, investment funds and corporate infrastructure spending. A large share comes from Canadian institutions putting more capital to work at home while Ottawa tries to attract additional global investment.
These commitments work in different ways. Bank financing, pension investment, venture capital and corporate spending support different types of projects and companies. Together, they give Canadian businesses and infrastructure projects more ways to access capital.
Canadian institutions already invest a lot of money outside Canada. The Bank of Canada recently estimated that pension funds, insurers, investment funds and banks have about C$500 billion invested in private credit, much of it abroad. The summit is trying to put more of that Canadian capital to work at home.
Investment funds added more than $14 billion. Power Sustainable committed to invest and mobilize more than $10 billion for infrastructure including power, grids, fibre, data and food supply chains. Radical Ventures plans to invest and mobilize $4 billion through its new Radical Breakouts Fund for Canadian AI scaleups.
Bell Canada and Saskatchewan also announced an AI infrastructure project of up to $52.5 billion. The proposed 1.2-gigawatt AI hub is expected to create more than 4,500 jobs across construction, operations, management and related services.
Another September 15 announcement lowers the tax cost of making new business investments. Ottawa's proposed Productivity Mega Deduction would let businesses write off roughly two-thirds of eligible capital investments right away, up from about 15% under the earlier Productivity Super-Deduction.
Most qualifying assets bought on or after September 15, 2026 would be covered. That includes software, computers, fibre-optic cable, mining property, certain pipelines, aircraft, vehicles, patents, rail track, bridges and roads. Most buildings, goodwill and some vehicles would remain outside the main rules or receive different treatment.
Finance Canada estimates the change would cut Canada's effective tax rate on new business investment to 6.4% (from 13.0%). For comparison, it estimates the U.S. rate at 16.9% and the OECD average excluding Canada at 19.0%.
This isn't just an incentive for foreign investors. Canadian and international companies could both benefit when they make qualifying investments in Canada.
The federal government estimates the measure would reduce tax revenue by $36 billion over five years. Finance Canada also estimates that about $8.5 billion a year in investment support could eventually generate up to roughly $22 billion in additional annual economic activity. The final impact will be based on how much new investment follows and whether it lifts output and productivity.
The Canada Revenue Agency has also begun prioritizing advance tax rulings for proposed Canadian investments of $1 billion or more. Investors can seek binding tax treatment before committing capital, reducing one source of uncertainty on large projects.
Statistics Canada productivity research found investment per worker in 2022 was nearly 20% below its 2014 level. Real non-residential business investment in early 2024 was still 22% below its peak a decade earlier, and weak capital investment has been a major contributor to slower labour-productivity growth.
The latest business surveys are more encouraging. Bank of Canada survey data show 43% of firms in the second quarter of 2026 identified improving productivity as an investment objective, up from 31% a year earlier. Equipment upgrades, technology adoption and AI investment give companies ways to convert financing into higher output rather than simply expanding balance sheets.
Foreign capital is also rising. Statistics Canada recorded $96.8 billion of foreign direct investment into Canada in 2025, the highest annual level since 2007. In the second quarter of 2026, inward direct investment reached $25.9 billion, up from $18.8 billion in the first quarter. Manufacturing attracted $7.0 billion and finance and insurance $6.6 billion.
Canada now has more domestic capital earmarked for Canadian assets at the same time that foreign direct investment is rising. Domestic institutions can finance assets and companies through longer investment cycles, while foreign capital adds outside balance sheets, customers, expertise and international connections.
Trade pressure adds another reason to build more productive capacity at home. Canadian companies looking beyond the United States still need capital for technology, production, regulatory work, new customers and foreign operations. Stronger financing at home gives more firms the option to build those capabilities from Canada rather than moving capital-intensive parts of their growth elsewhere. See: Budget 2025 Accelerates Fintech, AI, and Capital Growth
Video: CBC News coverage of Canada’s first Investment Summit, where nearly $500 billion in new investment commitments were announced.
For Canadian founders, the most accessible commitments are much smaller than the $500 billion headline. Radical Ventures' $4 billion AI fund, RBC's nearly $1.5 billion technology commitment and CIBC's $2 billion defence and dual-use program can reach companies below major infrastructure scale. Pension and bank commitments can finance the data centres, energy systems, digital infrastructure and customers around them.
Canada has plenty of capital on paper. It now needs to move the needle in funded projects, higher investment per worker, productive technology adoption, export capacity and Canadian companies reaching larger scale.
$500 billion gives Canada a large starting balance. How much is actually deployed, where it goes and what it produces will determine whether the summit becomes a capital-formation milestone or a very large collection of commitments.
Can Canada turn nearly $500 billion of new capital commitments and a proposed 6.4% investment tax rate into measurably higher productive investment, larger Canadian companies and stronger domestic and foreign capital flows?
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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Sep 14, 2026

Industrial machinery is essential in the manufacturing, construction, processing, agriculture, energy production, and other industries.
Unexpected machine failures can have more than repair costs. Production can be halted, deadlines can be missed, workers can face safety hazards, and businesses can suffer financial losses.
By knowing the common causes of machinery failure, operators and maintenance staff can identify problems early and take preventive action. Industrial machinery failure can have many causes.
By determining the root cause, businesses can avoid the same issue, minimize downtime, and extend the useful life of valuable industrial equipment. Here are 10 of the most common reasons for industrial machinery failure.
One of the biggest causes of equipment failure is poor maintenance. A machine has many moving parts and interdependent components that must be inspected, cleaned, adjusted, and serviced regularly. Small issues can turn into big ones if they aren't addressed during routine maintenance.
A preventive maintenance schedule can help to detect worn components and other issues before they lead to unexpected failures.
Moving parts need proper lubrication to minimize friction and heat. Insufficient lubrication, improper lubricants, or not lubricating parts as recommended can cause faster wear.
Too much lubrication can also cause issues due to contamination or harm to some parts. Therefore, operators should adhere to the manufacturer's lubrication guidelines.
Industrial machines work under harsh conditions, and parts inevitably wear out. Bearings, gears, belts, seals, shafts, and other components can become less effective over time.
Failing to address visible wear may cause component failure and damage adjacent parts. Routine checks enable maintenance personnel to replace worn parts before they cause a bigger failure.
All machines have operating restrictions. Operating equipment beyond its intended use can cause excessive stress on motors, bearings, gears, hydraulic systems, and structural components.
Overloading will lead to overheating, deformation, early wear, and failure. Operators must always operate within the machine's operating specifications.
Overheating can damage electrical, mechanical, and hydraulic parts. A lack of lubrication, blocked ventilation, overloading, cooling system issues, or extended use can cause overheating. Temperature monitoring can give an early warning of a machine operating outside normal limits. Interestingly, our repair technicians can help you in this regard.
Shafts, couplings, gears, and other parts should be properly aligned. Misalignment can cause excessive vibration and loads, leading to increased wear on bearings and other components. Frequent alignment checks can minimize unnecessary stress and prolong equipment life.
Dust and dirt, moisture, chemicals, and other contaminants can enter machinery and cause damage to sensitive components. Lubrication systems, bearings, hydraulic equipment, and electrical components are especially susceptible to contamination.
Maintain clean machines and their environment, and change filters as needed to minimize contamination-related failures.
Motors and automatic equipment may malfunction or fail if there are electrical problems. Typical problems are broken wires, loose connections, power surges, overloaded circuits, and faulty electrical parts. Regular electrical checks can help detect issues before they become equipment problems.
Well-maintained equipment can still fail if not used properly. Machinery can be subjected to unnecessary stress due to incorrect settings, improper start-up/shut-down, overloading, and not following operating instructions. Therefore, proper operator training is an important aspect of equipment reliability.
Problems can arise later if the installation is not done correctly, parts are not replaced correctly, or repairs are not done correctly. Parts can become misaligned, connections may be poor, or the wrong replacement parts may be used.
Complex repairs and installations should be performed by qualified technicians to ensure that the equipment is restored properly.
Failure of industrial machinery is preventable. Equipment reliability can be greatly improved through regular maintenance, proper lubrication, replacement of worn-out parts at appropriate times, operator training, cleanliness, and routine inspections. Rather than replacing the damaged part, businesses should look into the cause of the machine's failure. Finally, see what HARtech can do for your plant.
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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September 11, 2026 | NCFA Market Activity | Artificial Intelligence And Data, Wealthtech Investing And Trading, Risk Compliance And Regtech

On September 10, 2026, OpenAI launched ChatGPT for Financial Services, a version of ChatGPT Work built for finance around GPT-6 Astra, premium financial data, connected firm information and tools for research, modelling and client materials. OpenAI developed the product with Morgan Stanley and Evercore as design partners, starting with investment banking and equity research.
A financial institution no longer has to start with a general AI model and then separately connect every data source, build research workflows and figure out how the output gets into a valuation model, research note or pitchbook. Some of that assembly work now comes inside the product.
That positions ChatGPT closer to the type of work bankers and analysts produce every day. It also puts OpenAI into more direct competition with fintech copilots, research platforms and financial software vendors building similar workflows around third party AI models.
ChatGPT for Financial Services includes premium datasets from providers such as Daloopa, PitchBook and LSEG News. OpenAI says the available data covers areas including earnings transcripts, financial statements, company fundamentals and private companies. Teams can start using supported datasets that are included without negotiating separate contracts or configuring their own connectors.
The scope still depends on the provider and dataset. PitchBook says users get access to its expanded Essential dataset, including firmographic information on companies, investors and funds. OpenAI's terms also set rules for each provider around timing, storage, copying and reuse.
OpenAI indexes and hosts supported partner data on its own infrastructure so the system can retrieve it faster and attach citations to figures and claims. In finance, analysts need to know where their numbers came from, which period it covers and whether the source supports the conclusion.
There are real limits. OpenAI's Financial Services Terms say data and outputs may be inaccurate, incomplete, delayed or outdated. Daloopa data listed in the terms is delayed by 24 hours, while Nasdaq pricing supplied through Financial Modeling Prep is delayed by at least 15 minutes. Those details become important when the same system is used for research, valuation work and client materials.
For financial data companies, ChatGPT can become another route to institutional users. OpenAI gets licensed data closer to the research workflow, while the provider keeps control over how its underlying information can be copied, exported or reused.
OpenAI is also going after the work produced after the research. Administrators can publish approved Excel, Word and PowerPoint templates so teams can turn analysis into valuation models, research notes, pitchbooks and other documents in the firm's own format and style.
Investment banking and research teams spend a lot of time getting numbers, commentary and analysis into the right spreadsheet, memo or presentation. If AI can produce that work using approved templates, companies can cut production time without rebuilding the workflow around a separate tool. Morgan Stanley and Evercore helped OpenAI identify those pain points. OpenAI says reliable data access and high quality artifact creation were among the biggest problems raised through the design work. The announcement doesn't say either firm has deployed ChatGPT for Financial Services across its entire organization at this point.
Fintech copilot models that mainly wrap a large language model around research or document creation now face tougher competition. Specialists still have room where they own proprietary data, regulated workflows, execution capability, integrations built for individual institutions or financial expertise that a general platform can't easily reproduce. NCFA recently looked at decision intelligence in financial services which highlights a similar competitive issue. Access to data matters, but the firms creating the most value will be the ones that turn it into better research, decisions and client outcomes.
ChatGPT for Financial Services includes enterprise controls such as SAML SSO, SCIM provisioning and access controls by role. OpenAI says business data is not used to train its models by default, data is encrypted at rest and in transit, administrators can configure workspace retention, and supported workspace logs can be exported through its Compliance Platform.
Those controls help firms manage who gets access and what information can be used. They don't make a bank, dealer, investment firm or advisor compliant by themselves. Each institution still has its own obligations around privacy, records, supervision, model risk, client information and material information that isn't public.
Its Financial Services Terms say the service provides information and tools for financial research and analysis and that OpenAI does not provide financial or investment advice. Users are told to apply independent professional judgment and check important sources, dates and calculations before relying on the output.
That keeps responsibility with the institution. Citations can make research easier to check and firm templates can make the output easier to use, but someone still has to stand behind the analysis, recommendation or client communication.
OpenAI is making general finance copilots easier to copy and harder to defend. Fintechs will need an edge in proprietary data, regulated execution, deep workflow integration or trusted financial expertise to compete.
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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Explore and compare companies in Canada’s open banking market by capability, market layer, documented Canadian traction and selected global benchmarks, from financial data and bank infrastructure to payments, business systems and intelligence.
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Learn how open banking and consumer-driven finance work, use Canadian market evidence alongside leading international examples, test key claims, and apply what you learn to product, operating, investment and policy decisions.
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Start with the decision in front of you. Work through one topic or use the full guide to connect regulation, infrastructure, products, competition, adoption and risk.
Connect customer permission, standards, shared infrastructure, business models and trust.
See what could slow launch, adoption, scale or commercial value.
Compare who pays, who benefits, where margins sit and what evidence is still missing.
Separate announcements from operating evidence, activity from adoption and access from outcomes.
Search the full 146-module guide or narrow it by the perspective most relevant to you.
Search the full guide or narrow the modules by the decision or market question you are working on.
Explore selected current and emerging Open Banking discussions through verified market evidence, competing commercial cases and NCFA insight. Cast your view and compare with the market as participation builds.
Canada’s first phase has to prove that data access can improve real financial tasks before payment initiation arrives.
Your View
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The near term opportunity is strongest where better data cuts underwriting time, verification cost or manual work. If those services do not generate repeat use, payment initiation becomes more important to the commercial case.
Canada must decide how much operating evidence it needs before moving from data access into customer authorized payments.
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A staged rollout tied to transaction risk and proven operating performance would let Canada add useful functionality without treating every payment use case the same.
Compliance costs can protect consumers and still become a barrier if they do not reflect the activity and risk of the participant.
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Consent, security, liability and consumer redress need a firm baseline. Other obligations should track the activity, exposure and risk a participant creates. If smaller firms carry costs that do not reduce material risk, the framework can weaken the competition and consumer choice it is meant to support.
Private agreements and industry standards continue to develop while the federal framework remains unsettled.
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Commercial data sharing can keep growing without a settled federal rule. The competitive issue is who controls access terms. Continued uncertainty favours firms with the scale to negotiate bilateral arrangements and absorb repeated integration costs.
The UK has proven demand for Open Banking. The commercial test is whether payment services can fund continued investment without restricting access.
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Paid services make sense when they deliver functionality, service levels or risk controls beyond the baseline. Charging for ordinary access too early can weaken fintech economics and reduce the demand needed to support a durable market.
Australia shows what happens when a mature data right expands faster than the ability to complete customer actions.
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More data can improve advice, comparison and underwriting. Action becomes more valuable when it removes a meaningful customer step. The case for wider authority should be judged against the friction it removes and the additional fraud, consent and liability risk it creates.
The UK now has to decide how standards should be governed once the market is established and commercial interests are stronger.
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Standards need to adapt faster than legislation without giving the largest participants control over market access. Funding, technical administration, consumer representation and statutory enforcement should remain clearly separated.
AI agents can progress from reading financial data to recommending and executing financial actions.
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The key control is authority. Customers need clear limits on what an agent can do, for how much, for whom and for how long. Auditability, revocation and liability become more important as autonomy increases.
Brazil links Open Finance to a high frequency payment system, giving customers an immediate reason to use connected financial services.
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Brazil shows the value of pairing data access with an action customers already understand and use frequently. Canada does not need the same payment model, but its early data services still need to solve problems often enough to create repeat behaviour.
Open finance can improve advice and competition, but every additional data category increases consent, privacy and implementation complexity.
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Wider access is most useful when the additional data changes a financial decision or removes customer friction. Scope should follow clear use cases, with common identity, consent and liability controls reducing the cost and risk of expansion.
Explore commercial opportunities in Canadian open banking, consumer-driven finance, data access and financial infrastructure, then assess where new products and business models may be viable.
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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Sep 10, 2026

Large companies face specific security challenges that need careful planning and investment. Protecting sensitive data and physical locations is essential for keeping a safe business environment. Companies should not only react to threats but also actively create a secure space for employees and customers. Security should be a key part of business strategy, not an afterthought.
As threats evolve, large companies must update and improve their security practices. Today's tools and technologies help businesses build strong security measures, providing peace of mind and a safer operational environment. Here are ways to boost your company's security.
Access control systems are crucial for security in large organizations. These systems allow companies to control who can enter different parts of their facilities. Using card access or biometric systems like fingerprints or retina scans, businesses can ensure only authorized personnel can enter sensitive areas.
Access control systems are flexible. Companies can change access permissions as needed, quickly responding to changes in staff or security requirements. This flexibility helps create a safe working environment, making employees feel secure knowing that only approved individuals can enter restricted areas.
Moreover, advanced systems with real-time monitoring features improve overall safety. This technology lets security teams monitor movement throughout the premises, spot suspicious activity, and act promptly when needed. A solid access control system is vital for protecting assets and keeping confidential operations secure.
Video surveillance systems are essential for security in large companies. Modern technology provides high-definition video, allowing businesses to monitor their facilities effectively. By placing cameras in key locations, companies can oversee both indoor and outdoor areas.
Real-time monitoring in video surveillance systems helps security staff detect and respond to incidents quickly. Recorded footage is also valuable for training, resolving incidents, and handling insurance claims. This documentation helps businesses improve their security procedures by highlighting weaknesses over time.
Investing in smart video analytics can further strengthen this security solution. These systems automatically detect unusual activity or specific events, speeding up response times and increasing operational efficiency. In short, video surveillance systems give businesses the tools they need to tackle security challenges and maintain a safe environment.
Weapons detection systems are important for protecting corporate spaces. These advanced systems can find firearms and other dangerous items before they become a threat. Quickly putting these systems in place can improve the safety of employees and clients, giving everyone peace of mind.
Using weapons detection systems in busy areas, like entrances or conference rooms, adds extra protection. These systems operate quietly, allowing companies to keep a welcoming atmosphere while prioritizing safety. Their fast and accurate detection enables security staff to identify threats swiftly, so they can respond without causing disruptions.
By integrating weapons detection systems into their overall security plans, large companies can show their commitment to workplace safety. This proactive strategy not only discourages potential threats but also fosters a culture of safety among employees. A strong focus on security can become a core part of the company's identity, building trust both inside and outside the organization.
As businesses move more operations online, cybersecurity is a major concern. Large companies that handle large amounts of data and run complex networks must invest in strong digital security measures. Effective cybersecurity solutions are necessary to protect sensitive information and keep operations running smoothly.
Installing firewalls, antivirus software, and intrusion detection systems helps create layers of protection against cyber threats. Regular software updates and employee training on spotting phishing attacks also strengthen a company's cybersecurity. Educating employees allows them to contribute to the organization's safety efforts.
Incident response plans are also vital. These plans prepare companies for possible breaches and ensure prompt action when they occur. By having clear steps to follow, businesses can reduce damage and recover quickly. Investing in robust cybersecurity solutions shows a commitment to protecting data and maintaining trust with clients and stakeholders.
Using AI weapons detection system and integrated security solutions can make safety efforts easier and more effective for large companies. This approach combines different security systems into one unified system. By streamlining security measures, businesses can improve management, enhance communication among security teams, and respond better to threats.
Integrated solutions give a complete view of a company's security needs. Real-time data sharing between systems increases awareness and helps teams act quickly in emergencies. This coordination helps organizations build stronger safety and resilience.
Choosing integrated security solutions is a smart decision that boosts efficiency and effectiveness, creating a protective environment for the business. When considering security options, keep in mind that the best solutions blend technology and strategy. What matters is a commitment to proactive safety measures that protect resources and improve the work environment.
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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