Karsten Wenzlaff, Advisor
August 26th, 2025
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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May 15, 2026 | NCFA Insight | Artificial Intelligence And Data

On May 1, 2026, the Academy of Motion Picture Arts and Sciences announced Oscars rules requiring human performed acting and human authored screenplays. The Academy didn’t ban AI tools, but rather protected human creativity at a time when synthetic performers, AI music, and digital personas are iterating live in mainstream culture. The questions are who gets credit, who gives consent, who gets paid, and who takes responsibility when AI is the engine inside the creative process.
In March 2026, AI generated performer Tilly Norwood gave the Oscars restriction a real world stress test by launching a music video called “Take The Lead”. While a human team is behind the creation, the video clearly features a synthetic artist as the visible performer. People designed the character, shaped the concept, guided prompts, edited outputs, and built the persona around the performance.
The production apparently started with a notice stating it was made by “18 real humans” including production designers, costume designers, prompters, editors, and an actor.
Futurism reported that Suno generated the song and Particle6 used performance capture from Eline van der Velden’s acting performance. That means the audio came from an AI music tool, while a real person performed the movements, expressions, or acting choices that helped animate the synthetic Tilly Norwood character on screen.
As synthetic personalities improve, creative credit gets harder to assign. The audience sees the AI performer first while the human labour is more difficult to see. Was the performer the AI character, the actor behind the capture, the director, the prompt team, the studio, the model provider, or the person who shaped the concept?
Futurism called the video “one of the dingiest and depressing things we’ve ever seen.” Viewers also pushed back on the unusual visuals, processed vocals, and pro AI message cutting through the hype.
Bottom line is AI can make more content, faster, but it can’t make audiences care by default.
Creative markets still reward taste, originality, trust, and a sense that real people stand behind the work. As synthetic content spreads, proof of origin, consent, and accountability will likely become part of the product.
Financial services already depends on verified identity, trusted records, permissions, approvals, and auditability. AI raises the stakes because automated agents and AI generated advice and support can blur the line between human and software activity.
A customer may not know whether they’re reading human advice, AI assisted advice, or fully automated output. A compliance team may need to prove who approved a model generated communication. A marketplace may need to verify whether a creator, advisor, vendor, or agent is real. A lender, insurer, or investment platform may need a reliable record of how an AI system influenced a decision.
The Academy’s new rules don’t reject AI. They protect human recognition inside AI assisted creation. Tilly Norwood shows why the boundary won’t stay clean. The battle line is who gets credit, who gets paid, who gives consent, and who is responsible when synthetic work enters the market.
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

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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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