Future Ventures: Scaling with Clarity

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Shane Wilson is Managing Partner at Citta Capital, where he focuses on early-stage investing and helping build companies, especially in B2B AI, deep technology, and robotics. He started his career in go-to-market roles at New York startups, where he learned how sales, marketing, and product need to work together for a company to grow. Today, he brings that operator’s perspective to venture investing, helping portfolio companies shape their strategies, systems, and business models for an AI-driven market. 

This conversation matters because AI is changing more than how software gets built. It is changing what customers buy, how companies price value, where defensibility comes from, and which capabilities founders must continue developing themselves. Shane and Maxim examine what happens when software begins performing the work rather than simply helping employees complete it—and why the winners will combine automation with strong distribution, proprietary insight, disciplined economics, and genuine human judgment. 

5 Key Topics Covered 

• Pricing AI around business value — Shane explains why traditional seat-based SaaS pricing is becoming less relevant and compares usage-based, outcome-based, and labor-based pricing models. 
• Building defensibility when software is easier to create — The discussion explores why regulation, proprietary data, customer relationships, physical infrastructure, and specialized workflows can create more durable advantages than code alone. 
• Distribution as the emerging technology moat — Shane and Maxim discuss why trusted customer access, owned audiences, and direct relationships are increasingly valuable as automated outreach becomes easier to produce and easier to ignore. 
• Where human judgment still matters — The episode examines the risks of outsourcing strategy, creativity, writing, and original thinking to models that may produce the same conventional answers for everyone. 
• AI valuations, private markets, and public participation — Shane questions whether late-stage AI valuations can withstand public-market scrutiny and argues that the current system increasingly concentrates the benefits of innovation among private investors. 

3 Key Insights 

• The strongest AI pricing models connect directly to an existing economic line item. Pricing based on measurable labor capacity can be easier to adopt and may create a more predictable, defensible revenue model for both the vendor and the customer. 
• As building becomes easier, access becomes harder. A company may be able to reproduce software functionality quickly, but it cannot instantly reproduce years of customer trust, proprietary information, regulatory expertise, or an established distribution channel. 
• AI should increase the leverage of human thinking, not replace it. Founders still need to write, think clearly, learn from history, form their own opinions, and tell a good story. These skills matter even more now, since so much routine work can be automated. 

Links 

• Citta Capital: https://cittacapital.com/ 
• Shane Wilson on LinkedIn: https://www.linkedin.com/in/shane-wilson98 
• Future Ventures Corp: https://www.linkedin.com/company/future-ventures-corp 
• Scaling with Clarity: https://www.linkedin.com/showcase/futureventures-podcast/ 
• Subscribe to the YouTube channel: https://www.youtube.com/channel/UCZgPPHfPBZz-r5NQLq_dWfA/ 

This episode has been brought to you by the Capital Intelligence Platform: https://capital.futureventures.ca/ 

About the Guest 

Shane Wilson is a Managing Partner at Citta Capital, where he invests in early-stage B2B AI, deep tech, and robotics companies. He has worked in startup go-to-market, workforce technology, commercialization, enterprise strategy, and venture investing. Shane brings a practical operator’s perspective to helping founders turn new technologies into businesses that can scale.

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Peter Dorfner is a Partner at Green Generation Fund (GGF), a Berlin-based venture capital firm investing in early-stage companies across agri-food and energy technology. He helped launch the fund in 2021 after years of investing in food and consumer innovation, bringing experience from both corporate venture capital and specialist investing. Since then, GGF’s thesis has evolved from consumer-led climate trends toward the technologies, infrastructure, and business models that can make food and energy systems more efficient, reliable, and commercially viable. 

This conversation shows that deep-tech founders need more than great science to grow. Peter and Maxim talk through the real challenges of turning a technology into a business: how investors judge whether it is ready, why timing can make even a strong company hard to fund, how founders can build a solid capital stack, and why trust matters after the deal closes. In the end, it is a practical look at how difficult innovation can become a business that lasts. 

5 Key Topics Covered 

• How GGF’s investment thesis evolved — Peter explains how the fund moved from consumer brands and alternative proteins into ingredients, agriculture technology, packaging, biogas, energy trading, and other B2B efficiency plays. 
• What proves that deep tech can scale — The conversation explores team composition, industry access, technical readiness, customer validation, and the commercial leadership required to move beyond the laboratory. 
• Timing the market and surviving a difficult cycle — Peter discusses why technically sound companies can still struggle when a category has been overfunded, damaged by earlier failures, or abandoned by follow-on investors. 
• Building a resilient capital stack — Maxim and Peter examine realistic valuations, grants, strategic investors, venture equity, debt, project finance, and the importance of backers who can continue supporting the company. 
• Trust between founders and investors — Peter says that being open with the Board, talking about setbacks early, staying prepared, and building long-term relationships matters more than looking perfect. 

3 Key Insights 

• A breakthrough is not enough if the company cannot explain its economic advantage. Founders need to explain technical progress in simple terms that customers and investors can understand, like lower energy use, higher yields, or better production economics. 
• The best capital strategy is built for survival, not headline valuation. A broader investor base, early use of non-dilutive funding, and access to strategic or project-finance partners can give deep-tech companies more room to reach commercialization. 
• Trust grows when founders bring up problems early. Investors know setbacks happen; what matters is being honest about what went wrong, what was learned, and keeping the Board in the loop so they can help before things get worse. 

LINKS 

• Green Generation Fund: https://www.ggf.vc/ 
• Peter Dorfner on LinkedIn: https://de.linkedin.com/in/peter-dorfner 
• Future Ventures Corp: https://ca.linkedin.com/company/future-ventures-corp 
• Subscribe to the YouTube Channel: https://www.youtube.com/channel/UCZgPPHfPBZz-r5NQLq_dWfA/ 

This episode has been brought by the Capital Intelligence Platform: https://capital.futureventures.ca/ 

About the Guest 

Peter Dorfner is a Partner at Green Generation Fund, where he backs early-stage companies in agri-food and energy technology. He has worked in food investing since 2016 and brings experience across corporate venture capital, consumer brands, food science, agriculture technology, and resource efficiency. His focus is on helping founders turn scientific and technical ideas into strong, commercially resilient businesses. 

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Boris Besner is the Founder and CEO of Okos AI, a technology-enabled field services company built to deliver security and low-voltage installations across distributed physical locations. What began as a smart-home and energy-efficiency business evolved into an enterprise deployment platform that now coordinates hundreds of certified technicians and has supported the installation of more than 60,000 devices across North America and parts of Europe. 

This conversation shows that having a strong product is not enough — companies also need a reliable way to deliver it in the real world. Boris and Maxim talk about how Okos built a repeatable system for field work through remote project management, clear workflows, a contractor network, AI-assisted quality checks, and a focused market strategy. In this space, growth depends on people, process, cash flow, and solid execution on site. 

5 Key Topics Covered 

• Turning field service into a repeatable operating system — Boris explains how Okos built an internal platform to manage technicians remotely, standardize every installation step, document the work, and maintain visibility across thousands of locations. 
• Using AI without removing human accountability — The conversation looks at how AI can help review installation photos, assist with quoting, read technical documents, and cut down on manual work. Even so, experienced people are still responsible for judgment, compliance, and safety. 
• Building and motivating a distributed technician network — Boris shares how the contractor model gives Okos geographic flexibility while offering technicians attractive pay, additional income opportunities, and the autonomy to choose when they work. 
• Finding product-market fit through a major pivot — After the residential smart-home market stalled, Okos shifted into commercial security. They discovered that its real value was not installing individual cameras, but executing large, multi-location deployments that smaller competitors could not handle. 
• Scaling into the United States without losing financial discipline — Boris discusses why the U.S. market proved easier to enter and more open to new solutions, while warning founders that large contracts, aggressive payment terms, and rapid expansion can create serious cash-flow pressure. 

3 Key Insights

• The real product may be the operating capability behind the service. Okos gained traction when it stopped positioning itself around hardware and features and started selling the ability to complete complex deployments reliably across hundreds or thousands of locations. 
• Technology is useful when it makes the work easier and better. Checklists, photos, remote checks, and AI reviews can reduce rework, keep the company accountable, and give clients a clear record of what happened on site. 
• Growth should follow proven demand, not founder ambition alone. Boris says companies are ready to scale when the market is actively pulling them forward with contracts, backlog, and steady demand—not just because they have hired more people or raised more money.

Links: 

• Okos AI: https://okos.ca/ 
• Boris Besner on LinkedIn: https://www.linkedin.com/in/borisbesner/ 
• Future Ventures Corp: https://ca.linkedin.com/company/future-ventures-corp 
• Subscribe to the YouTube Channel: https://www.youtube.com/channel/UCZgPPHfPBZz-r5NQLq_dWfA 

This episode has been brought to you by the Capital Intelligence Platform: https://capital.futureventures.ca/

About the Guest 

Boris Besner is the Founder and CEO of Okos AI, a field services company that handles large-scale security and low-voltage installations. The business started as a smart-home startup and grew into a company focused on enterprise security. It now works with a network of certified technicians, remote project management, and AI-assisted quality checks to make installations easier to manage, more consistent, and more accountable across many locations. 

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Etinosa Agbonlahor is a behavioral economist and the CEO of Decision Alpha, where she helps companies make sharper decisions about pricing, customer value, and growth. Her work sits at the intersection of economics, psychology, and commercial strategy—an important combination for founders trying to understand not only what customers say they want, but how they actually choose, compare, hesitate, and buy. 

Pricing is about more than just numbers. It affects profit, how customers see the product, trust, product design, and whether a company can stay healthy. Etinosa and Maxim explain why founders often rely on gut instinct, copy competitors too closely, or assume lower prices mean better value—and how they can replace that guesswork with evidence, testing, and a better understanding of how people really decide to buy. 

5 Key Topics Covered 

• Building a defensible pricing framework — Etinosa explains how founders can think about pricing through a cost floor, a willingness-to-pay ceiling, and the competitive, alternative, and customer context between them. 
• Understanding what customers truly value — The discussion breaks value into functional, emotional, and aspirational dimensions and shows why customer conversations are essential to identifying what people will actually pay for. 
• Overcoming uncertainty, inertia, and switching costs — Maxim and Etinosa explore why customers often stay with an imperfect incumbent and how trials, guarantees, easier onboarding, and clearer proof can reduce the perceived risk of changing providers. 
• Designing packages and pricing models that guide choice — The episode looks at segmentation, pricing fences, reference points, tiered offers, and outcome-based models that help different customers self-select without relying on manipulation. 
• Making pricing changes without gambling the business — Etinosa discusses premortems, testing with prospects, revenue assurance, and acceptable loss under uncertainty, including why leaders should model potential churn against gains in revenue and profit. 

3 Key Insights 

• The real alternative is often not a direct competitor. Customers may use a spreadsheet, ask a junior employee, or do nothing at all, so founders need to understand the other options they are really competing with. 
• Underpricing can damage more than margins. It can make the product seem cheaper, attract tougher customers, make good service harder to deliver, and make future price increases harder to justify. 
• Customer research is only useful when the questions reduce bias. Founders should not make big pricing decisions based only on positive survey answers; they need more context, careful research, and testing before making a change. 

Links:

• Decision Alpha: https://decisionalpha.co/ 
• Etinosa Agbonlahor on LinkedIn: https://www.linkedin.com/in/etinosasere 
• Future Ventures Corp: https://ca.linkedin.com/company/future-ventures-corp 
• Subscribe to the YouTube Channel: https://www.youtube.com/channel/UCZgPPHfPBZz-r5NQLq_dWfA/ 

This episode has been brought to you by the Capital Intelligence Platform: https://capital.futureventures.ca/

About the Guest

Etinosa Agbonlahor is a behavioral economist and the CEO of Decision Alpha. She has worked with banks and investment banks on financial well-being, and now uses behavioral science to help companies think more clearly about pricing, customer decisions, and growth. Her work helps founders and leadership teams move beyond pricing guesswork and make better decisions with stronger evidence.

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Dr. Nisha Kohli is the Founder and CEO of Corpstage, a chartered accountant, and a corporate governance specialist with a PhD focused on the relationship between governance and company valuation. For more than two decades, she has worked across finance, governance, sustainability, risk, and technology, helping organizations move beyond policies and disclosures towards systems that influence how the business is actually managed. 

This conversation matters because ESG often gets stuck between two extremes: it is either treated like a reporting task or dismissed as an added cost. Nisha and Maxim take a more practical view—governance, environmental performance, and stakeholder responsibility as everyday business practices that improve resilience, support better decisions, strengthen access to capital, and create real business value. 

5 Key Topics Covered 

• Governance and enterprise value — Nisha explains the governance factors she studied, from Board composition and conduct to ownership structure and shareholder rights, and why value creation showed the strongest relationship with valuation. 
• Why ESG became a cost center — The discussion explores how fragmented standards, consultant-heavy reporting exercises, and weak integration with business strategy caused many companies to spend heavily without improving performance. 
• Evidence-first data and internal controls — Nisha outlines why ESG information needs the same discipline as financial information, including clear ownership, reliable evidence, audit trails, internal controls, and human oversight of AI-enabled systems. 
• Materiality, focus, and business strategy — Rather than measuring everything, companies should identify the environmental, social, and governance issues that materially affect growth, profitability, risk, employees, customers, suppliers, and access to markets. 
• A practical path for mid-market companies — For companies without large sustainability teams, the starting point can be one internal champion, a cross-functional working group, and the gradual integration of sustainability into planning, KPIs, operations, and capital allocation. 

3 Key Insights 

• ESG only creates value when it changes operating decisions. An ESG does not create much value on its own: the real impact comes when governance, sustainability, and stakeholder risks guide priorities, budgets, and everyday work. 
• Materiality should reduce complexity, not add to it. Companies do not need to chase every framework or metric—they need to focus on the issues that can materially affect revenue, cost, resilience, reputation, financing, and long-term value. 
• Small companies do not need to imitate bigger companies. A mid-market business can start with clear ownership, simple processes, reliable data, and practical actions before investing in a team. 

Links 

• Corpstage: https://www.corpstage.com/ 
• Dr. Nisha Kohli on LinkedIn: https://sg.linkedin.com/in/nishakohli 
• Future Ventures Corp: https://ca.linkedin.com/company/future-ventures-corp 
• Follow us on YouTube: https://www.youtube.com/channel/UCZgPPHfPBZz-r5NQLq_dWfA/

This episode was brought to you by the Capital Intelligence Platform: https://capital.futureventures.ca/ 

About the Guest 

Dr. Nisha Kohli is the Founder and CEO of Corpstage. She is a chartered accountant with a PhD in corporate governance and more than 20 years of experience in research, consulting, training, and business advisory. She helps organizations make sustainability and governance practical, useful, and focused on long-term value, resilience, and responsible growth.

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Craig Taggart is a Venture Partner at Qubits Ventures, where he works at the intersection of venture capital, family office capital, and emerging technologies moving from scientific research into commercial markets. His background spans UBS, investment banking, wealth management, capital advisory, and venture-backed technology and healthcare companies — experience that gives him a practical lens on a sector often dominated by technical theory. 

This conversation matters because quantum is starting to run into real business needs. Traditional computing is reaching physical and energy limits, cyber systems are preparing for post-quantum threats, and AI is driving huge demand for computing power. Craig and Maxim discuss why quantum is moving beyond the lab, where investors see real opportunity, and what deep-tech founders need to show before institutional capital will back them. 

5 Key Topics Covered 

• Why quantum is moving from R&D to commercial markets — Craig explains the security, energy, computing, and government funding pressures behind quantum’s growth. 
• Post-quantum security and the “harvest now, decrypt later” risk — The conversation explores why banks, critical infrastructure, digital assets, and major enterprises need to prepare for quantum-resistant security before the threat fully arrives. 
• What Qubits Ventures looks for in deep-tech founders — Craig breaks down the importance of proof of concept, product-market fit, defensible intellectual property, a credible go-to-market strategy, and an experienced team capable of navigating private capital markets. 
• Why family offices and corporate venture capital are leaning into quantum — Maxim and Craig discuss patient capital, specialized investment expertise, and why corporations use venture investing to gain exposure to technologies their internal teams may not yet understand. 
• The convergence of quantum, AI, healthcare, and energy — The episode examines how quantum and AI may accelerate one another, with applications ranging from bioanalytics and personalized healthcare to more efficient computing infrastructure. 

3 Key Insights 

• A breakthrough is not automatically a business. Deep-tech founders can have extraordinary science and still fail to commercialize it. Institutional investors need to see a specific problem, a differentiated solution, defensibility, and a team that knows how to build and finance a company. 
• Quantum adoption may be driven by necessity rather than hype. As demand for computing grows, along with energy limits and security concerns, traditional systems are under more pressure. The case for investment gets stronger when the technology solves a real problem people actually face. 
• Specialized capital matters in markets that investors do not fully understand. Family offices and corporate venture teams may want to invest in quantum, but many do not have the technical expertise to evaluate it deeply. Focused venture funds can help bridge that gap by connecting complex technology, investment diligence, and access to early-stage companies. 

Links: 

• Qubits Ventures: https://www.qubitsventures.com/ 
• Craig Taggart on LinkedIn: https://www.linkedin.com/in/craigtaggart 
• Future Ventures Corp: https://ca.linkedin.com/company/future-ventures-corp 
• Subscribe to our YouTube channel: https://www.youtube.com/channel/UCZgPPHfPBZz-r5NQLq_dWfA/ 

This episode has been brought to you by the Capital Intelligence Platform: https://capital.futureventures.ca/ 

About the Guest 

Craig Taggart is a Venture Partner at Qubits Ventures, where he focuses on strategic investments, family offices, and capital markets. He has experience in investment banking, wealth management, venture financing, technology, healthcare, and growth strategy, which gives him a practical perspective on how companies are built and funded. Today, he helps identify and support companies working at the crossroads of quantum technologies, next-generation compute, AI applications, and computing infrastructure. 

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Dr. Lyle Oberg is a physician, former Alberta Cabinet Minister, former board chair of Alberta Health Services, and now CEO and Chief Medical Officer of Exocellular Diagnostics Inc. He has worked across medicine, public policy, healthcare leadership, and biotechnology, giving him a unique perspective on what it really takes to turn a promising health innovation into patient care. 

This conversation is about more than cancer detection as a medical issue. It is also about systems, costs, adoption, and how healthcare dollars are spent. Lyle and Maxim talk about whether a blood test that measures membrane HSP70 could give doctors a clearer signal sooner, cut down on unnecessary tests, better track cancer recurrence, and help use limited healthcare resources more wisely. 

5 Key Topics Covered 

• Why prostate cancer diagnostics need a clearer signal — Lyle explains why a higher PSA can lead to extra tests, more biopsies, added cost, and more patient worry, and why this matters as an early use case. 
• Membrane HSP70 and liquid biopsy — The conversation explains how Exocellular's test looks for a signal linked to live tumor cells, which may help with earlier detection and cancer monitoring. 
• Commercializing a diagnostic in healthcare — Lyle talks about the laboratory-developed test process, why clinical evidence matters, and why getting doctors to adopt a new test can be one of the biggest challenges. 
• The economics of prevention and early detection — Maxim and Lyle discuss why healthcare systems often pay for treatment more easily than for interventions that could save much more money over time. 
• Biotech capital, Canadian healthcare data, and AI — The episode looks at Canada's difficulty funding biotech, the value of long-term health data, and how AI could help advance precision medicine and more targeted cancer screening. 

3 Key Insights 

• Better healthcare decisions often start with better signals. A diagnostic does not have to replace every existing test to be useful; it can help doctors decide sooner and more clearly who needs more testing and who can be safely monitored. 
• Clinical innovation also has to pass an adoption and economics test. Good science is only part of the story. Doctors need to trust the tool, healthcare systems need to see the value, and leaders need to stay realistic about what the evidence can actually show. 
• Canada's healthcare data could become a real advantage if it is used responsibly. Long-term patient records, along with AI and non-identifying data, could support research and precision medicine — but fragmented systems, privacy concerns, and institutional inertia are still major obstacles. 

LINKS: 

• Exocellular Diagnostics Inc.: https://exocellular.ca/ 
• Dr. Lyle Oberg on LinkedIn: https://www.linkedin.com/in/dr-lyle-oberg-62831720/ 
• Future Ventures Corp: https://ca.linkedin.com/company/future-ventures-corp 
• Subscribe to the YouTube Channel: https://www.youtube.com/channel/UCZgPPHfPBZz-r5NQLq_dWfA/ 

This podcast is brought to you by the Capital Intelligence Platform: https://capital.futureventures.ca/

About the Guest 

Dr. Lyle Oberg is a physician and healthcare leader who has also served as an Alberta Cabinet Minister. He has worked across medicine, public policy, finance, infrastructure, and health system governance. He also served as executive board chair of Alberta Health Services and now leads Exocellular Diagnostics Inc. as CEO and Chief Medical Officer. His work focuses on diagnostic tools that could help detect cancer earlier, improve patient care, and lower avoidable healthcare costs.

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Steve Walsh is the founder of Bison International Group and the author of Make the 10X Leap. He has spent decades around entrepreneurship, capital, private equity, and business building, helping founders answer one of the hardest questions in scaling: is the company actually built to grow, attract capital, and survive beyond the founder? 

This conversation matters because many founders want growth, but not every business is ready for it. Steve and Maxim unpack what separates a company that is simply busy from one that is truly scalable: founder mindset, smart capital, customer clarity, culture, team design, and the discipline to reverse engineer the business from where it wants to go. 

5 Key Topics Covered 

• Smart capital versus dumb capital — Steve explains why the best investors do more than write cheques; they open doors, bring relationships, help solve problems, and act like ambassadors for the company. 
• Why founders become the bottleneck — The conversation breaks down how founder ego, control, and the belief that “no one can do it better” can quietly cap the company’s growth. 
• Reverse engineering 10X growth — Maxim and Steve discuss why founders need to define the future state of the company first, then work backward into the people, systems, governance, capital, and execution required to get there. 
• The visionary-integrator dynamic — Steve highlights why many companies need both a big-picture founder and a disciplined operator who can turn ideas into execution. 
• Culture, alignment, and boring businesses — The episode explores why strong culture is built through mission and accountability, and why overlooked manufacturing and industrial businesses may offer major opportunities over the next decade. 

3 Key Insights 

• Capital only works when the business knows where it is going. Money can speed up growth, but it can also create confusion. The real work starts with getting clear on where the company is going, what it needs to become, and what has to change to get there. 
• The founder’s job changes as the company grows. Early-stage founders often win by doing everything themselves. But to build enterprise value, they eventually have to stop being the center of every decision and start building the team, culture, and systems that make the company stronger without them. 
• The next great opportunities may not look exciting from the outside. Steve points to owner-operated, succession-ready businesses in manufacturing, industrial markets, smaller cities, and the North American interior as places where serious value can still be created. 

Links 

• Bison International Group: https://bisonequitygroup.com/ 
• Steve Walsh on LinkedIn: https://www.linkedin.com/in/walsh-steve 
• Future Ventures Corp: https://ca.linkedin.com/company/future-ventures-corp 
• Subscribe to our YouTube channel: https://www.youtube.com/channel/UCZgPPHfPBZz-r5NQLq_dWfA

This episode has been brought to you by the Capital Intelligence Platform: https://capital.futureventures.ca/ 

About the Guest 

Steve Walsh is the founder of Bison International Group and the writer of Make the 10X Leap. He helps entrepreneurs, investors, and business owners grow companies, raise the right capital, and build lasting value. Steve brings decades of experience in entrepreneurship, private equity, business growth, and founder-led companies. 

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Emanuele Pizzatti is the Founding Partner of Futurewave AG, a Switzerland-based investment and advisory platform focused on private markets, asset management, and cross-border capital opportunities. Futurewave operates across a highly connected network that includes Switzerland, Liechtenstein, Malta, and Saudi Arabia, with a model built around flexibility, trust, and access rather than a traditional fund-only structure. 

This conversation matters because private markets are changing. The old venture model — raise a fund, chase power-law outcomes, wait ten years, hope for liquidity — no longer fits every investor, founder, or market cycle. Maxim and Emanuele explore why the next generation of asset management may look less like a rigid product and more like an adaptive platform: part advisory, part investment engine, part relationship infrastructure. 

5 Key Topics Covered 

● The Futurewave model — Emanuele explains how Futurewave is building an asset management platform that combines advisory, investment structuring, private market access, and long-term relationship building. 

● Why traditional VC is under pressure — The conversation breaks down the limits of the classic venture model, especially around illiquidity, fund timelines, power-law dependency, and the post-COVID reset in valuations. 

● Adaptive capital and flexible structures — Maxim and Emanuele discuss why capital should be shaped around the opportunity, not forced into a pre-set fund structure that may not fit the asset, founder, or investor. 

● Infrastructure as an investment theme — The episode explores why AI, data centers, energy, water, agriculture, and industrial infrastructure are becoming major investment opportunities beyond the usual software narrative. 

● Trust, access, and geography — Emanuele shares how relationships, jurisdictional credibility, and cross-border networks matter when working across Switzerland, Liechtenstein, Saudi Arabia, Malta, and broader private markets. 

3 Key Insights 

● Private markets need more flexibility. Not every opportunity fits neatly into a traditional VC fund. Some are better handled through advisory work first, then direct investment later, or with a structure that gives founders and investors more flexibility. 

● The AI opportunity is not only about software. The deeper investment story may be in the physical infrastructure that makes AI possible: power, cooling, data centers, water, grid capacity, and the industrial systems behind compute. 

● Trust is becoming a competitive advantage. In a crowded capital market, access is not just about money. It comes from trust, consistency, relationships, and helping before asking for anything in return. 

Links: 

● Futurewave AG: https://futurewave.ltd/
● Emanuele Pizzatti on LinkedIn: https://ch.linkedin.com/in/emapc
● Future Ventures Corp: https://ca.linkedin.com/company/future-ventures-corp
● Subscribe to our YouTube channel: https://www.youtube.com/channel/UCZgPPHfPBZz-r5NQLq_dWfA/  

This episode has been brought to you by the Capital Intelligence Platform: https://capital.futureventures.ca/ 

About the Guest 

Emanuele Pizzatti is the Founding Partner of Futurewave AG, a Switzerland-based platform focused on private markets, asset management, and cross-border capital opportunities. Through Futurewave, he works with investors, founders, and strategic partners across Europe and the Middle East to create flexible capital solutions and find strong opportunities. His work brings together advisory, investment access, public affairs, and long-term relationship building. 

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Yarin Gaon is the Managing Partner of Fractional Partners, a growth advisory firm built for post-product-market-fit companies that are not yet ready to scale cleanly. He is an entrepreneur-turned-investor who started building companies as a teenager, created and sold Israel’s largest e-commerce platform for military goods, and later worked with hundreds of founders through a venture capital firm. 

This conversation is important because most companies making between $1 million and $20 million don’t go under due to market issues. Instead, they often fail because they become too complicated, the founder keeps saying yes to everything, and the leadership team confuses busywork with real progress. Maxim and Yarin discuss the planning gap: when founders should stop adding more products, channels, and projects and instead focus on making clear choices about the kind of company they want to build. 

5 Key Topics Covered

• Yarin’s founder-to-investor journey — Yarin shares how he started his first company at 14, built and exited an e-commerce business, and later worked with hundreds of founders before launching Fractional Partners. 
• Why good companies stall after early traction — The conversation explores why growth by addition works early, but becomes dangerous once a company has found product-market fit and needs focus. 
• Strategy before execution — Yarin explains why founders often think they have an execution problem when the real issue is unclear strategy, unclear priorities, and too many competing directions. 
• Capital allocation as the founder’s real job — Maxim and Yarin discuss why scaling requires founders to think less like operators and more like allocators of time, money, people, and attention. 
• The danger of optimizing complexity — The episode breaks down why systems, frameworks, and operating rhythms can become traps if they are used to organize a business that is already too unfocused. 

3 Key Insights 

• Early-stage companies can grow by saying yes, but scaling companies grow by deciding what to stop doing. The discipline to subtract is often what separates momentum from stagnation. 
• Many founders mistake confusion about strategy for a problem with execution. Adding more meetings, KPIs, or systems won't help if the business hasn't clearly decided on its customers, products, position, and priorities. 
• The right investor or advisor offers more than just money. For companies stuck in that tricky middle ground between gaining initial traction and growing bigger, advice, spotting patterns, and strong decision-making can be more helpful than the investment itself. 

Links

• Fractional Partners: https://www.fractional.partners/ 
• Yarin Gaon on LinkedIn: https://www.linkedin.com/in/yaringaon/ 
• Growth Decisions Canvas: https://www.fractional.partners/free-tools/growth-deicisions-canvas 
• Future Ventures Corp: https://ca.linkedin.com/company/future-ventures-corp 
• Subscribe to Scaling with Clarity: https://www.youtube.com/channel/UCZgPPHfPBZz-r5NQLq_dWfA/ 

This episode has been brought to you by the Capital Intelligence Platform: https://capital.futureventures.ca/ 

About the Guest

Yarin Gaon is the Managing Partner of Fractional Partners, where he helps post-product-market-fit companies close the gap between early traction and scalable growth. He is an entrepreneur-turned-investor who has built, scaled, and exited companies, including Israel’s largest e-commerce platform for military goods. Through Fractional Partners, he works with founders and leadership teams to create clarity, improve decision-making, and build companies that can scale without drowning in complexity.