Karsten Wenzlaff, Advisor
August 26th, 2025
Payments | Jan 12, 2026

Image: Freepik/lyashenko
On January 11, 2026, Fiserv launched Unknown Shopper at NRF Retail’s Big Show in New York, introducing an analytics feature designed to extract customer insight from card present transactions that aren't tied to loyalty programs to better understand in store customers. Across retail, grocery, restaurant, and fuel environments, card present payments still dominate volume but produce limited visibility. Merchants see transactions, not behaviour. Repeat visits, cross channel relationships, and the impact of marketing spend often remain unclear when customers never enroll in loyalty programs. Now, Fiserv's Unknown Shopper solution is built to address that gap.
Unknown Shopper begins with the card present payment. Each card transaction is securely tokenized so it cannot identify a person, but it can still show patterns over time. That allows purchases to be grouped into anonymous customer segments based on real spending behaviour. Fiserv doesn't claim to identify individual consumers or expose personal data. Instead, the system enables segmentation, attribution, and measurement based on real spending activity.
Fiserv states that the capability sits on its payments intelligence platform and draws on transaction data processed across its acquiring network (the payment processing systems Fiserv uses to handle card payments for merchants). The company also states that its services reach nearly 100% of U.S. households and that Unknown Shopper delivers greater reach and accuracy than traditional demographic or lookalike targeting models. Note, that these reach and performance metrics are vendor stated claims and have not been independently verified.
What can be independently verified is scale. Fiserv publicly reports serving more than six million merchant locations globally and supporting approximately 10,000 financial institutions through its payments and banking infrastructure. That level of transaction volume matters because analytics based on payments data only become meaningful when they reflect broad, real world commerce rather than narrow samples.
Unknown Shopper fits into a broader pattern across large payments platforms. As core processing becomes more competitive and margins tighten, processors are looking for adjacent services that monetize data already flowing through their systems. Attribution, segmentation, and optimization tools sit naturally on top of payment activity, particularly when platforms operate at national or global scale. Payments scale increasingly determines who can credibly build second layer data products. Firms without that scale will need to specialize, partner, or focus on narrower use cases where data concentration exists.
For merchants, the appeal is operational simplicity. Loyalty programs require customer participation, incentives, and ongoing management. Processor embedded analytics operate in the background and work across physical and digital channels without changing the checkout experience.
Fiserv has been expanding its merchant services presence through partnerships and point of sale deployments. In 2025, TD Bank Group announced a strategic relationship with Fiserv that includes migrating approximately 3,400 merchant relationships representing about 30,000 Canadian merchant locations onto Fiserv’s processing and Clover infrastructure.
Fiserv does not publish a total count of Canadian merchants served. However, this expansion signals a growing footprint in a market where domestic processors such as Moneris still dominate at scale although reportedly RBC and BMO Possibly Looking to Sell Moneris. For Canadian fintechs and merchants, the implication is practical. Global payments platforms are extending beyond processing into data driven services, and those capabilities will increasingly be available in the Canadian market.
Unknown Shopper doesn't change the structure of the payments market. It reinforces where value is accumulating though and large platforms increasingly view it as a strategic asset that supports marketing, measurement, and decision making. The next questions will likely hone in on trust and boundary limits. Merchants may voice concerns as they evaluate new insights versus dependence. Regulators may watch how far payments data travels beyond its original purpose. Competitors will decide whether to build, buy, or partner to keep pace. This launch is a reminder that scale still compounds quietly, and that many of the most consequential product moves happen one layer above the transaction itself. More product detail and positioning is available on the Unknown Shopper product page.
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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AI Learnings | January 8, 2026

AI generated
KOHO's CEO Daniel Eberhard is publicly sharing its AI Playbook and the practical learnings from a two year effort to integrate AI into how the company measures work, allocates resources, and runs teams (see Linkedin post).
The Playbook covers KOHO’s core beliefs, communications approach, resourcing model, telemetry, and execution learnings. It reads like an internal operating guide and what stands out is not excitement about AI but how quickly measurement became the central issue once AI entered daily work.
AI created focus on telemetry. We got at least as much juice from just better tracking.
This insight changes the AI discussion. Productivity gains didn't come only from automation. They came from finally seeing how work actually happens. Telemetry, in this case, means tracking real workflows using data rather than assumptions or anecdotes.
Once KOHO put systems in place to measure how teams worked, productivity improved even in areas where AI usage was limited. AI forced management to see exposed blind spots that leadership could no longer ignore.
Takeaway: If AI adoption feels underwhelming, the issue may not be the tools. It may be that the organization lacks visibility into where time, effort, and value actually flow.
We’re now at a place that code is not the rate limiter at KOHO.
When AI enters engineering workflows, producing code becomes easier so the bottleneck moves upstream. Decision making, prioritization, and product clarity start to matter more than execution speed.
Eberhard also flags that traditional measures like lines of code become low signal in this environment. More code does not necessarily mean more value.
Takeaway: Teams built around shipping velocity often struggle when judgment becomes the constraint. Incentives and planning processes must adapt.
Lines of code is much steeper year over year than PRs per dev. This is low signal.
Pull requests (PRs) are the units of work developers submit when proposing changes to production code. KOHO found that raw PR counts and code volume stopped telling a meaningful story once AI entered the workflow.
So KOHO's AI Playbook describes a move toward weighted PR throughput to adjust for complexity, so harder, higher impact work counts more than simple changes.
Takeaway: If teams are still rewarded for volume, AI will amplify the wrong behaviour. Weighting work by impact protects critical but less visible work.
Power users are averaging 8 PRs a week. Low cohort users are 1.5 PRs a week.
This is an uncomfortable but important insight. AI didn't create uneven contribution. It revealed it. Once telemetry grouped developers into cohorts based on usage and output, contribution gaps became visible.
Takeaway: Avoiding measurement doesn't preserve culture. It only delays accountability and clarity.
People need more hand holding than I thought.
Too busy to learn AI is the most common thing I hear.
When workers are under immense time pressure, curiosity wanes. Even for highly capable teams that might otherwise adopt better tools.
KOHO set expectations without direct mandates. AI use was expected, but people could challenge tools if they could explain why. Judgment and agency remained central.
Takeaway: AI adoption stalls when teams are left to figure it out on their own, and improves once structure, support, and clear expectations are added.
How we think about quality was anchored in the cost attached to fixing things.
The Playbook references deployment guardrails such as canary deployments (changes are released to a small group first), and blue green deployments (two versions run in parallel to allow quick rollback).
The emphasis isn't on the techniques themselves, but on the economics of failure.
Takeaway: Speed only works when recovery is fast and inexpensive, especially in regulated environments.
The most important lesson from KOHO’s AI Playbook is not that AI boosted productivity. Instead, it's that leadership rebuilt how the organization understands work.
What KOHO’s AI Playbook ultimately shows is that AI does not simply change how much work gets done. It changes what leaders can no longer ignore. Once AI enters daily workflows, old metrics break, contribution differences surface, and decision making becomes the real constraint. Fintechs that treat AI as a tool upgrade will miss this insight. Those that treat AI as an opportunity to rethink measurement, incentives, and accountability are more likely to benefit far more over time.
Kudos to Daniel Eberhard and KOHO for opening up an internal AI Playbook and shared learnings of tradeoffs, frictions, and course corrections. It's a working account of what changed once assumptions met reality. That kind of transparency strengthens the ecosystem. It gives other fintech leaders a more honest starting point, grounded in practice rather than hype.
AI doesn't reduce the need for judgment but it raises the cost of avoiding it.
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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WEF Opportunity | January 7, 2026

Image: Freepik/DC Studio
The World Economic Forum Technology Pioneers programme is now accepting applications for its 2026 cohort. Each year, the Forum selects 100 early stage companies from around the world to join a two year engagement focused on emerging technologies and real world challenges affecting people and the planet. The programme brings founders into direct working relationships with senior leaders across government, business, and civil society.
Applications must be submitted by midnight Pacific Time on January 31, 2026. The Forum notes that incomplete applications are saved for one week after the last activity. After that point, applicants must restart the process from the beginning. The official application is hosted at the Technology Pioneers 2026 application portal.
According to the Forum’s published selection criteria, eligible companies must meet all of the following requirements:
The company must be developing a truly innovative technology or business model with the potential to create long term positive impact on society or the planet.
The company must have received Series A funding of at least $10 million USD.
The company must be less than 10 years old.
The company must be independent and privately held.
The programme targets companies that have moved beyond early experimentation and are beginning to scale, but are still early enough to benefit from policy, institutional, and global market exposure.
Looking at the most recent cohort is a good way for founders considering whether this opportunity fits their stage. In 2025, the World Economic Forum selected 100 companies from 28 countries to join the Technology Pioneers community. The group spans sectors such as artificial intelligence, cybersecurity, energy systems, quantum computing, food and water technologies, and space infrastructure, reflecting the Forum’s focus on companies building foundational technologies rather than consumer apps. The programme has recognized more than 1,200 companies since 2000, including early stage versions of Google, PayPal, Dropbox, Spotify, and SoundCloud, underscoring that selection tends to favour companies tackling large system level problems with long term relevance.
The World Economic Forum explicitly expects direct CEO engagement as part of the Technology Pioneers community. The Forum strongly encourages applications to be completed by the CEO personally so it can assess leadership motivation and long term intent. This is not a delegate driven programme.
Once selected, CEOs should expect to commit a minimum of five hours per quarter to Forum engagement and attend at least one global event per year during the two year term. This time commitment matters and should be weighed carefully by founders before applying.
Technology Pioneers are invited to attend global meetings, workshops, and events hosted by the Forum, along with smaller, tailored gatherings for members of the Innovator Community. This isn't a funding programme and not a marketing opportunity per the write up. The Forum positions Technology Pioneers as contributors to its work on emerging technologies rather than sponsors or exhibitors. The value comes from access, credibility, and sustained engagement rather than short term exposure.
For Canadian fintechs and technology companies that have reached Series A and are beginning to think globally, this programme offers structured access to conversations that typically only happen much later in a company’s life. It's best suited for founders who are ready to engage beyond product and fundraising and contribute time to global policy, market structure, and technology discussions while continuing to scale their business. NCFA encourages qualified companies to review the criteria carefully and apply only if the programme aligns with their stage, capacity, and long term goals.
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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Seed Financing | Jan 7, 2026

Image: Freepik
On December 18, 2025, Peripheral Labs confirmed $3.6M USD seed funding round led by Khosla Ventures with participation from Daybreak Capital, Entrepreneurs First, Transpose Platform, and angel investors. The Canada based startup was founded in 2024 and builds volumetric video systems that reconstruct live sports moments in three dimensional space.
Peripheral Labs enables fans to move through live plays, freeze moments, and change perspective in real time rather than watching fixed broadcast angles. The technology applies sensor systems and machine learning techniques originally developed for autonomous vehicles.
The company currently employs around 10 engineers and plans to use the seed capital to expand its technical team and scale deployments across larger venues. This isn't a content company chasing highlights. It's part of the new infrastructure stack for how live experiences get built.
Investors are backing Peripheral Labs because audience engagement has changed, not because sports needs another broadcast upgrade.
Sports Business Journal reported on how volumetric video targets younger sports audiences, CEO Kelvin Cui described the gap the company is addressing:
“When I was a kid, I never really understood why there wasn’t a closer gap between broadcast media and the interactive experience that we had from video games. What we’re aiming to do is bring an interactive and immersive experience to fans so that especially we can target that younger audience.”
Gen Z audiences expect control, presence, and participation. They rewind, explore, and share moments while events are still unfolding. Sports provides a high pressure environment to test whether immersive systems can meet those expectations at scale.
Peripheral Labs applies neural rendering, robotics perception, and spatial intelligence methods originally developed for autonomous vehicle systems. The company works with off the shelf cameras but applies proprietary machine learning to reconstruct environments accurately and efficiently.
According to TechCrunch coverage, volumetric capture is reduced from over 100 cameras to roughly 32, so the system materially lowers cost and expands the range of venues that can support immersive deployments. Cui explained the scaling advantage as:
“While we work with off the shelf cameras, the way we package it with our experience in robotics and ML is what gives us an edge both in terms of platforms and also scaling from small practice enclosures to big soccer and football stadiums.”
The company is already in active discussions with North American teams on proof of concept deployments, including coaching analysis and officiating review.
Peripheral Labs is showing us what happens when fast moving, high stakes systems stop being explained through flat screens and start being experienced spatially. That same challenge exists in finance.
Most fintech products still communicate value and risk through dashboards, charts, and alerts. That assumes users want to read and interpret information. Younger users increasingly expect systems to show them what is happening instead.
Spatial systems suggest a different model for financial services may be possible in the future. Transactions could appear as live flows rather than static entries. Portfolio movement could be observed as structure changing over time rather than abstract numbers. Risk could be understood visually as proximity or pressure instead of complicated disclosure text.
These innovative changes wouldn't remove the controls, compliance, or math. It would however change how systems communicate.
As financial services become embedded into everyday lives and move into games, creator platforms, and digital environments where forms and menus feel out of place, spatial interaction becomes an opportunity to interact with younger market segments in a way that's suitable for the times.
For fintech founders and institutions, spatial technologies are one to watch as they can profoundly change how users interact, which can lead to stronger trust. Teams that treat interface decisions as secondary may struggle to engage the next generation of users, regardless of pricing or performance. Peripheral Labs is a confirmed Canadian sports technology funding story that will reveal insights of how digital systems will be expected to behave in the future. While finance won't be the first in the spatial tech space, it's unlikely to remain untouched (think smart glasses and real time AI assistants).
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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CES | Jan 6, 2026

CES 2026 opens today in Las Vegas and runs from January 6 to 9. As the world’s largest global technology event, CES matters because it is where platform providers, manufacturers, and system builders preview the technologies they intend to scale next.
This year, the most important signals aren't from individual gadgets. They appear in pricing models, performance benchmarks, and deployment timelines that show how AI is moving beyond software and into physical systems. Combined, these signals offer an early view into how cost, performance, and risk will be distributed as AI becomes increasingly embedded in devices, vehicles, and industrial environments.
CES (Consumer Electronics Show) is the largest global marketplace where product teams, buyers, investors, and regulators assess the same technologies at the same time. An independently audited Consumer Technology Association (CTA) report shows that CES 2025 attracted 142,465 attendees, including 81,621 industry professionals and 6,582 media participants, with international attendees accounting for 40.2% of the total audience. When decisions surface at this scale, they tend to lock in quickly.
Control over AI cost, performance, and risk increasingly sits with global platform providers and system manufacturers that define pricing models, performance benchmarks, and deployment architectures long before regulators or end users can respond.
The intensity of competition shows up before products even reach the market. The CTA reports more than 3,600 Innovation Awards submissions for 2026, the highest on record. Robotics related submissions rose 32% year over year, and confirms the evolution in buyer expectations.
AI and automation no longer differentiate products. They define the minimum bar. Vendors now compete on cost, reliability, and control rather than novelty.
The most consequential CES announcement focuses on economics rather than spectacle. Nvidia introduces the Vera Rubin platform and frames AI progress around efficiency and scale. Reporting on the launch shows that Rubin delivers five times the AI training performance of the prior generation and reduces inference token cost by up to 90% for certain workloads.
This is important for fintechs and financial institutions. When AI is priced per token, it moves from innovation spending into operating expense. That shift forces harder questions about vendor concentration, auditability, and resilience. Pricing power becomes a strategic risk, not a technical detail.
CES 2026 also standardizes how local AI performance gets measured. HP announced consumer laptops delivering up to 85 TOPS of on device AI processing, while AMD introduced processors offering up to 60 TOPS (tera operations per second, measure of how many AI calculations a chip can perform locally,). These figures cross a practical threshold where many everyday inference tasks no longer require the cloud.
For financial services this changes system design. Fraud detection, authentication, and customer support logic begin to fragment across millions of devices. Latency drops and some privacy risks ease, but update cycles, model drift, and endpoint security become harder problems.
Robotics are no longer conceptual at CES 2026. Hyundai outlined plans to deploy Atlas humanoid robots in US factories starting in 2028. According to reports, production capable units can lift up to 50 kilograms and operate across wide temperature ranges, with annual targets reaching up to 30,000 robots by 2028.
These numbers signal factory scale, not experimentation. Automation at this level reshapes supplier economics, insurance models, and capital planning across industrial ecosystems. Financial institutions that support equipment finance, trade credit, and risk underwriting will feel these effects early.
Highly connected vehicles continue to evolve into software environments. Sony Honda Mobility of America confirmed that Afeela 1 launches at $89,900, targets roughly 300 miles of range, and begins California deliveries in late 2026.
As vehicles embed identity, subscriptions, and payments, financial services move into AI powered physical environments with new liability and dispute dynamics. Authentication, consent, and fraud controls will need to work seamlessly across phones, vehicles, and homes.
The first day of CES 2026 marks a clear transition from possibility to commitment. AI now carries published token pricing. Performance is measured in TOPS rather than marketing claims. Automation arrives with factory volumes and deployment years. Devices and vehicles embed identity, payments, and continuous data flows into everyday consumer and B2B activity.
For Canada’s fintech ecosystem, it spotlights a structural tension. Platform power increasingly concentrates outside the country, while operational risk, compliance, and consumer protection responsibilities remain domestic. At the same time, Canada’s ability to govern digital platforms and data flows sits within binding trade commitments. As outlined in CCPA's analysis of how digital trade rules now shape national policy space, agreements such as CUSMA constrain local data requirements, differentiated treatment of foreign digital services, and mandatory platform transparency. That constraint now collides with what CES brings to market. AI chips, on-device inference, embedded finance, and physical automation all rely on cross border digital products and data flows that Canada doesn't control. The question is no longer whether these systems arrive, but how they operate once they do.
The direction for Canada is clear. Competing on platform scale is not realistic. Competing on trust is. That means using Canada’s policy window to set clear expectations for digital identity, payments interoperability, data governance, and consumer protection before these technologies become deeply embedded in everyday consumer and B2B activity.
CES offers a glimpse of what is coming. Canada’s advantage will come from deciding NOW how it wants that future to work.
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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