Karsten Wenzlaff, Advisor
August 26th, 2025
May 21, 2026 | NCFA Fintech Market Activity | Artificial Intelligence And Data, Risk Compliance And Regtech, Banking And Credit Infrastructure

On May 20, 2026, National Bank of Canada partnered with Sardine to strengthen digital banking security and improve fraud operations. National Bank selected Sardine after a live evaluation where the platform improved fraud detection and reduced false positives.
The bank will deploy Sardine’s device intelligence and real time risk scoring across retail, commercial, and wealth solutions. Fraud controls are no longer only a back office defense. They now also affect onboarding, payment approvals, customer friction, and trust across the full digital banking relationship. National Bank serves approximately 2.7 million clients globally and reported $606 billion in assets as at January 31, 2026.
National Bank is also leading a $25 million Series C extension in Sardine, bringing Sardine’s total funding to $170 million. That makes this a commercial partnership with one of Canada’s six systemically important banks.
Soups Ranjan, CEO and co-founder of Sardine:
“Sardine was built for banks that need to stop fraud without slowing down their loyal customers,”
Banks need to stop attacks without blocking good customers. False positives creates unwanted friction, cost, abandoned journeys, and damages trust. Sardine’s platform combines device intelligence, real time risk scoring, fraud controls, and financial crime automation.
It also uses a fraud consortium, a shared risk network built from activity across many customers and channels. That network spans more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. For banks, outside risk data can help spot suspicious behaviour faster than internal data alone.
Fraud infrastructure is evolving from rule based screening toward live risk decisions across the customer journey. The optimum systems will reduce losses without punishing legitimate customers.
Sardine describes itself as an agentic risk platform for fighting financial crime. That means software that helps risk teams detect fraud, score behaviour, and automate parts of fraud and AML operations. National Bank’s release also references agentic AI in the risk and compliance sector.
The need for AI in banking is now well beyond customer service chatbots and internal productivity tools. Some of the strongest use cases are within risk operations, where firms need speed, evidence, and better decisions under pressure.
Joshuah Lebacq, Partner, NAventures, National Bank of Canada's corporate venture capital arm:
“After closely following Sardine’s growth and hearing strong feedback from existing customers, we decided to conduct an extensive evaluation of their platform. The results gave us confidence to make Sardine a strong addition to our financial crime prevention operations and expand our commercial relationship.
We’re excited about the potential of agentic AI, especially in the risk and compliance sphere, and Sardine’s financial crime agents are setting the standard for the category,”
The release didn't disclosure any loss reduction or false positive reduction rates from their evaluation, so keep your eyes out for those metrics in the future.
As AI driven fraud systems enter deeper into banking, will the best institutions win by blocking more bad actors, or by approving more good customers with less friction?
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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May 21, 2026 | NCFA Insight | Capital Markets And Market Infrastructure, Digital Assets Blockchain And Tokenization

On May 19, 2026, Polymarket launched prediction markets tied to private company milestones, using Nasdaq Private Market data to resolve the contracts. Users can trade on events such as valuation milestones, IPO timing, and secondary market activity.
This isn't a gamble on private company ownership, since traders don't get shares, voting or information rights, or access to a company’s cap table. They get a tradable contract with a public price that reflects the market’s view of whether a specific private company event will happen. While the product doesn't open up private equity to everyone. It enables the public to take odds around private market outcomes.
Nasdaq Private Market says nearly 1,600 global unicorns now hold more than USD $5 trillion in combined value, while access remains mostly limited to institutions and high net worth investors. Private markets keep getting larger. Public visibility still lags.
Shayne Coplan, Founder and CEO, Polymarket:
“Prediction markets are one of the most powerful tools we have for democratizing access to financial information and opportunity.”
Private market pricing often arrives late. A funding round may show what investors paid albeit months ago. A tender may show one clearing point for one group of sellers. A secondary trade may reflect scarcity, transfer limits, or a specific share class. But the fact is none of those inputs gives the public a continuous read on what people think will happen next.
A contract price shows the market’s view of a future event, not the company’s fair value. If a contract trades near 70 cents, traders are roughly pricing a 70% chance that the event occurs. That doesn't necessarily make the odds right, but it makes the belief visible.
That in itself could move the needle for founders, employees, late stage investors, secondaries desks, and allocators. A live probability can show:
The Nasdaq Private Market (NPM) brings private market data from primary and secondary market activity, which gives the contracts a stronger reference point than rumours, social posts, or loose valuation chatter.
NPM also brings scale, and with that trust. The company says it's executed nearly USD $80 billion in secondary liquidity for more than 200,000 eligible employee shareholders and investors across more than 1,000 company sponsored liquidity programs. It's an important point because typically private market data is thin and opaque:
Prediction odds will be strongest where the underlying data is deep, current, and easy to verify. Or as Tom Callahan, CEO, Nasdaq Private Market puts it, “When retail participants enter any market, high-integrity data matters.”
This product could make private valuations harder to ignore and harder to defend. If a company carries a high valuation but prediction odds show weak confidence in a future valuation milestone, investors begin to lose confidence or ask sharper questions. If odds move right after a fundraise, product launch, regulatory event, or IPO rumour, the market gets a faster read on sentiment.
Secondaries may feel the effect first.
Prediction market odds don't replace diligence. But they add a public probability signal to a market that still depends on financials, contracts, board materials, customer data, and negotiated access.
One of the risks of course is a false signal. A small market can falsely produce a strong probability that rests on weak liquidity. A contract price may reflect a few motivated traders, not a deep view of private company value.
Information gaps also matter. Employees, early investors, brokers, lawyers, customers, and suppliers may know more than the public. As private company prediction markets grow, market integrity will become a bigger issue. Volume, open interest, spreads, trader concentration, and resolution rules will matter as much as the headline odds.
Regulators will be watching. These contracts straddle several policy lines at once, such as derivatives, gambling, securities, consumer protection, and private company information. The more these odds affect private market behaviour, the more scrutiny they will attract.
The strongest use case is private market intelligence. Prediction odds could augment traditional signals, such as secondary market data, valuations and company reported events. Together, the combined inputs may give investors a better view of timing, sentiment, and confidence before an IPO or liquidity event.
Private market infrastructure is becoming more transparent and data driven. Platforms that help investors understand price, risk, liquidity, and timing will have an advantage.
For founders, it adds a new pressure point to manage. Once the public can trade on company milestones, valuation becomes a public narrative before a public listing. That can create attention. It can also expose weak communication, inflated expectations, or a gap between private marks and public belief.
Bottom line: More companies are staying private longer, and more value is being created before public investors can participate. Prediction markets won't fix access on their own. But they may push the market toward better pricing tools, cleaner data, and more honest conversations about private company value.
If the odds become liquid enough, will private marks start answering to public probability signals?
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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May 15, 2026 | NCFA Fintech Market Activity | Artificial Intelligence And Data, Capital Markets And Funding

On May 12, 2026, Ottawa announced $66 million for 44 Canadian AI projects through the AI Compute Access Fund, part of Canada’s $300 million Sovereign AI Compute Strategy. Evan Solomon, Minister of Artificial Intelligence and Digital Innovation, announced the funding at Web Summit Vancouver.
Compute has become a hard cost of AI growth. If an AI company wants growth, even if they have strong talent, a useful model, and early customers, without affordable processing power, it still can’t train, test, or serve the product at scale. So in a sense, compute access (or lack of) is now part of Canada’s productivity and capital formation problem.
The announcement says the funded projects cover health care, energy, manufacturing, agriculture, finance, natural resources, and transportation. Use cases are across a range of sectors, such as wildfire detection, public transit, drug discovery, agriculture, financial services, and business tools.
Evan Solomon, Minister of Artificial Intelligence and Digital Innovation and Minister responsible for the Federal Economic Development Agency for Southern Ontario
“AI is not just a technology of the future. It is already helping Canadian companies solve real problems, improve services, create products and compete globally. But to build with AI, companies need access to compute power. Through the AI Compute Access Fund, we are helping Canadian businesses get the processing power they need to scale, create jobs, transform industries and keep more of the value they create here in Canada.”
The AI Compute Access Fund program guide says eligible project costs must range from $100,000 to $5 million. Projects can run for up to three years and must end no later than March 31, 2028. Important to note that this amount of funding can help companies overcome smaller experiments, but it doesn't solve the full scale problem.
The Bank of Canada’s recent AI productivity speech shows the size of the race. Top U.S. technology firms spent roughly US$200 billion on AI related investment in 2024. That doubled to about US$400 billion in 2025. Canada cannot match that dollar for dollar. So it's moved quickly to fund firms that can turn compute into commercial products, owned IP, and exportable capability.
For fintechs and financial institutions, compute connects directly to governed AI workflows in finance. The value is output that teams can review, explain, and control.
Canada also needs more domestic capacity. Clean power, secure data centres, competitive cloud options, and private capital must all converge to support AI growth. Compute support shouldn't only be given to the best funded firms. It should also reach applied AI builders, regional companies, regulated sector use cases, and firms solving productivity problems that don't always attract venture capital.
Can Canada turn compute funding into scaled AI companies, or will the largest gains still flow to firms that control the platforms, data centres, and capital behind the AI economy?
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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May 15, 2026 | NCFA Fintech Market Activity | Artificial Intelligence And Data, SME Finance And Business Banking, Capital Markets And Funding

On May 14, 2026, Synthetic raised USD $10 million in seed funding led by Khosla Ventures to build autonomous AI bookkeeping for software startups. Basis Set Ventures also participated. Operator investors include Shopify CEO Tobi Lütke, Opendoor CEO Kaz Nejatian, Bridge co founder Zach Abrams, Accrual CEO Cosmin Nicolaescu, and Figure CEO Michael Tannenbaum.
Synthetic is aiming to deliver accrual basis books without human bookkeepers or accountants. The system connects to a customer’s banks, payroll, billing systems, and inboxes, then asks clarifying questions when it needs more information. The output promised is a clean set of books that a tax preparer can use.
Synthetic says pricing will start at USD $49 per month, about a quarter of the cost of a human staffed service. The company is starting with software, SaaS, and AI businesses because their accounting workflows are narrower and easier to model than the full small business market. Autonomous bookkeeping will only work if the system understands the business and sector well enough to avoid a range of potential errors, both simple and complex.
Ian Crosby, Founder and CEO, Synthetic:
“I'm not sure if it's yet technologically possible to make this work,”
That quote is perhaps one of the most interesting parts of the announcement. Crosby isn't selling certainty, but he's calling out and going after a hard problem. AI is still unreliable, and no founder wants books that look clean but are wrong. In accounting, a small error can affect taxes, financing, board reporting, future planning, and investor trust.
Synthetic is trying to solve that by narrowing the customer type and building around quality control. The company says the team is iterating on a prototype with early design customers. The firm hasn't disclosed revenue, customers, launch timing, error rates, or benchmark results as of yet.
Bookkeeping touches sensitive financial data such as banking, billing, and payroll. If AI can handle that work with enough accuracy, it could cut cost for early startups and reduce one of the most common back office bottlenecks for founders.
Jon Chu, Khosla Ventures:
“This one’s quite simple. You have a large, valuable problem that will inevitably be solved by AI. A founder who’s spent multiple decades working on the problem with near perfect founder market fit. And resilience and grit that’s been forged through multiple founding experiences and scale ups at companies like Shopify and Mercury,”
While Synthetic is headquartered in San Francisco, the Canadian angle is three time founder (ie. Bench and Teal) Ian Crosby. Bench was a Vancouver built bookkeeping company that became one of North America’s best known small business accounting platforms before it later shutdown and was acquired.
So why not base the company in Canada? It's a competitiveness question for Canada. Canadian founders keep showing up in high value AI and fintech infrastructure deals, but company formation, lead capital, senior hiring, and headquarters often land in the United States. If Canada wants the next generation of AI finance companies to scale here, it needs more than talent. It needs lead capital, customers, technical density, and a culture that lets ambitious teams move fast.
This also connects to Canada’s productivity and competitiveness challenge. AI can reduce manual work, but the economic value goes to the companies that own the IP, workflow, data, customer relationship, and product layer.
Synthetic has to show that AI can handle edge cases, ask the right questions, document decisions, and produce books that accountants, tax preparers, investors, regulators, and founders can trust.
The company’s longer vision is even bigger. Synthetic says it wants founders to press a button and watch a company assemble around an idea, including the website, incorporation, bank accounts, payments, accounting, and other operating pieces. Accounting is the starting point with the bigger ambition being the required operating infrastructure.
Can autonomous AI earn enough trust to run startup bookkeeping, or will reliability, tax risk, and financial controls keep humans in the loop longer than investors expect?
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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