Future Ventures: Scaling with Clarity

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Ankit Anand doesn't fit the typical venture capital mold. He started his career as a physics teacher in India, moved to Europe to work on gravitational wave research at ETH Zurich, co-founded a medical technology company, and only then — after years of operating and angel investing — ended up as Founding Partner at Riceberg Ventures. Today, Riceberg backs breakthrough deep tech companies across space, cybersecurity, AI, life science, and frontier industries — often writing the first check before a company is even incorporated. 

This conversation matters because Ankit brings a rare lens to early-stage investing: the discipline of a trained scientist, the scar tissue of an operator, and a global perspective that spans Europe, India, and the United States. For founders raising capital — or investors thinking about how to back hard technology — he offers an unusually clear framework for how to separate breakthrough companies from noise, and why the VC game is fundamentally a trust business, not a finance one. 

Key Topics Covered 

1. From physics to venture — How Ankit's path through teaching, ETH Zurich, and a medtech spinout shaped the way Riceberg evaluates founders and builds conviction. 
2. The four pillars of a breakthrough investment — Value chain optimization, bottom-up market sizing, real defensibility, and founder-market fit. 
3. Value-based vs. cost-based pricing for deep tech — A practical framework founders can use to price technology that has no direct comparable in the market. 
4. Why trust is the real currency of venture capital — How consistency, transparency, and early engagement beat polished decks every time. 
5. Cross-cultural founder underwriting — What motivates a European scientist-founder vs. an Indian one, and why the evaluation lens has to change accordingly. 

Three Key Insights 

• Slowness is a feature, not a bug. Riceberg deliberately takes its time with founders, engaging long before they're raising — sometimes before a company even exists. The filter isn't a pitch deck; it's observing how a founder converts a small favor (like a single customer intro) into meaningful momentum. If they can turn one dollar of value into ten, that's the signal. 
• Your first customer is your investor. Deep tech founders often dismiss themselves as "bad at sales." But if a scientist can captivate an investor with a vision and walk away with a check, that's already proof of selling ability. The same holds for hiring underpaid, world-class talent — selling the vision is the job, whether the buyer is an LP, an employee, or a future enterprise customer. 
• Ankit's pricing framework has two sides that have to meet in the middle. Start from what customers pay today, drop it 5X, then add premiums for the extra safety, speed, or efficacy you're delivering — that's your value-based price. Then work bottom-up from your unit economics with at least a 60% margin — that's your cost-based price. If value-based sits above cost-based, you're in a good spot. If not, you're building something unsustainable. 

Links 

• Riceberg Ventures: https://riceberg.vc/ 
• Ankit Anand on LinkedIn: https://ch.linkedin.com/in/anandvankit 
• Future Ventures Corp: https://www.linkedin.com/company/futureventures 

About Ankit Anand 

Ankit is Founding Partner at Riceberg Ventures. He came to venture the long way — teaching physics in India, then doing gravitational wave research at ETH Zurich on the LIGO project, then co-founding a medical technology company in Europe. Riceberg writes first checks into deep tech founders, often before the company is even registered, and invests globally out of offices across Europe, India, and the U.S. 

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Debneel Mukherjee is the kind of investor most founders never get access to — a former CPA turned self-taught coder turned operator turned venture capitalist, now running Decacorn.VC from Singapore, with roughly 85% of his portfolio deployed in the United States. His career spans nearly three decades across banking, fintech operations, and global private tech investing, and he's built a track record that includes early bets on companies such as Palantir, Mapbox, ThoughtSpot, BioCatch, and SpaceX — well before most of those names became consensus trades. He currently holds two portfolio companies in the S&P 500. 

The reason we wanted Debneel on the show is simple — he doesn't invest the way most VCs do, and he'll tell you exactly why. He won't touch institutional money. He doesn't limit himself to what's within driving distance. And he's not interested in markets that already exist. His whole thesis is built on first principles: find the bottleneck, find the founder crazy enough to solve it, and then get out of their way. Most investors talk about being contrarian. Debneel actually built a fund around it — from Singapore, into the US, with the patience to hold through the storms that shake everyone else out. 

Key Topics Covered 

1. From CPA to Coder to Investor — How a forced career pivot into programming at a fintech bank shaped a three-decade-long investing philosophy rooted in technology-led innovation. 
2. Contrarian Investing Done Right — Why "obvious has no value" and how Decacorn.VC identifies opportunities for new market creation instead of chasing crowded spaces. 
3. The AI Pragmatist's View — A middle-ground take on AI that rejects both doomsday and utopian narratives, arguing that technology has never destroyed jobs — only created affluence. 
4. Founder Selection and the "Great Question" Test — How Debneel evaluates founders on conviction, domain competence, and mission — and why the quality of the investor's questions matters more than the size of the check. 
5. Building a Patient, Unconstrained Fund — Why Decacorn.VC refuses institutional capital, democratizes access for accredited individuals, and structures for evergreen, long-horizon capital deployment. 

Key Insights 

1. Track record alone doesn't win deals — the conversation does. Debneel measures the quality of a founder meeting by how often the founder responds with "that's a great question." Founders don't want another passive check-writer; they want an investor who understands their problem space well enough to challenge them on the issues that keep them up at night. 
2. The best opportunities come from breaking bottlenecks, not from following trends. Rather than chasing whatever sector is hot, Decacorn.VC identifies first-principles constraints — such as off-grid power for data centers or a lack of cybersecurity infrastructure — and backs founders who solve those structural problems before the market catches up. 
3. Patient capital changes the game. Debneel only takes money from people who can genuinely forget about it — accredited individuals who care more about having a ringside seat to what's coming than about quarterly returns. That's not a constraint. It's what lets him hold through the storms. His example? Toyota invested $50 million in Tesla's IPO, sold a few years later at $480 million, and thought they won. Tesla has since returned roughly 400x. You don't get that outcome if your fund has a seven-year expiry date. 

Links 

• Decacorn.VC Website: https://www.decacorn.vc/ 
• Debneel Mukherjee on LinkedIn: https://sg.linkedin.com/in/debneel 
• Future Ventures Corp: https://www.futureventures.ca/ 

Guest Bio 

Debneel Mukherjee founded Decaco

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Robin Smith, a 20-year enterprise software veteran, has worked through all ownership models—bootstrapped, venture-backed, private equity, and public. Most recently, as COO of a PE-backed portco with 1,000+ employees, he led over €200 million in acquisitions during an 18-month roll-up. Now in his mid-40s, he left that world to pursue entrepreneurship through acquisition and found that AI is rewriting the playbook for buying mission-critical software businesses. 

What makes this conversation worth your time is where Robin is standing right now. He knows how PE deals actually work — from the inside, not from a pitch deck. He watched AI gut the economics of traditional SaaS in real time. And he's acting on it, building Stayd as a B Corp roll-up of holiday home agencies in the UK with a thesis that most of the market is still sleeping on. He doesn't sugarcoat the deal that fell apart, he's blunt about where software valuations are headed, and his thinking on outcome-based pricing is ahead of the curve. This is one of the more honest conversations we've had on the show. 

5 Key Topics Covered 

1. Failed Acquisition, Real Lessons — Robin walks through a competitive sell-side process for a bootstrapped vertical SaaS business, where he lost on valuation and perceived execution risk as an independent sponsor. 
2. Independent Sponsors vs. Traditional PE — Why sell-side advisors remain skeptical of independent sponsors, what the funding gap actually looks like, and how Robin structured capital for family offices. 
3. AI's Impact on Software Valuations — How running a financial model through Anthropic's tools turned Robin, an AI skeptic, into a believer, compressing a week of analyst work into hours. 
4. The Software Commoditization Thesis — Robin's argument that any UI-to-database application has lost its intrinsic value and that real value now resides only where software works autonomously. 
5. Stayd: Rolling Up Short-Term Rental Agencies — The three-pillar strategy behind Robin's new venture — revenue optimization, agentic workflow automation, and ethical acquisition of holiday home agencies, with a partnership model for founders. 

3 Key Insights 

1. Buy-side advisors are worth far more than deal execution. Robin expected his buy-side advisor to run the transaction. What he didn't expect was the depth of market intelligence they brought — competitive deal color, LP and GP behavior patterns, and valuation triangulation that validated his bottom-up analysis to within half a turn of revenue. 
2. The moat in software isn't the interface anymore — it's whether the tool actually does the work. Robin puts it simply: if someone still has to sit at a keyboard and punch data into your system, that software is basically free. The value shows up when technology takes over the labor itself. And if that's true, charging a flat license fee makes no sense. You charge for what the tool delivers. 
3. Having zero technical debt right now might be the most underrated advantage in the market. Incumbent software businesses are trapped — they have paying customers on legacy systems, finite engineering teams, and AI rewriting the rules around them in real time. Robin bets that starting clean, with no organizational baggage or codebase to maintain, lets you build at a pace that no legacy player can keep up with. 

Links 

• Robin Smith on LinkedIn: https://www.linkedin.com/in/robinsmithgl7/ 
• Corinium Capital: https://www.coriniumcapital.co.uk/ 
• Future Ventures Corp: www.futureventures.ca 

Guest Bio

Robin Smith is the Managing Partner of Corinium Capital and the Founder of Stayd, a B Corp roll-up of

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Kim Anders Odhner is the Managing Partner for Europe and Asia at Unovis Asset Management, a leading alternative protein investment fund. Before relocating to Amsterdam, Kim spent 25 years in Southeast Asia, developing expertise in emerging-markets private equity — backing early-stage companies, staying involved post-investment, and understanding food systems across diverse economies. He co-founded the New Crop Capital Trust with Chris Kerr and has been investing in food tech since the sector's early days, with investments in Beyond Meat, Oatly, Mosa Meat, and Aleph Farms. 

This conversation is important because the food tech investment scene has changed significantly. The 2021–2022 hype has cooled, early-stage funding is scarce, and the idea that "build it and they will come" has been tested — often unsuccessfully. Kim combines frontier-market investing discipline with deep food-system knowledge that cuts through the noise. Whether you're a food tech founder, an investor, or just wondering how we'll feed 10 billion people by 2050, this episode provides clarity. 

These are some of the key topics covered: 

1. The real economics of alternative protein — Why price, convenience, and supply-chain gatekeepers drive consumer behavior far more than values or sustainability messaging. 
2. Lessons from Beyond Meat — How the IPO ignited global excitement for food tech while also exposing a dangerous gap between market valuations and actual consumer adoption. 
3. Strategic ingredients over center-of-plate — Why the next wave of food tech innovation is in B2B blended products, pre-textured ingredients, and food service channels rather than in retail-facing meat replacements. 
4. The bioavailability gap — How the Green Revolution's push for scale stripped our food supply of nutrient density and flavor, and why GLP-1 companion foods and active aging nutrition are creating new investable categories. 
5. Navigating food tech regulation across markets — The sharp contrast between Europe's precautionary approach and America's self-declared GRAS system, and what it means for founders trying to scale globally. 

Some of the insights from our talk were: 

1. People eat what's in front of them. Food choices are impulsive and price-driven, so the real unlock for alternative protein isn't convincing consumers to change — it's getting food service operators like Sodexo and Compass to put these products on the plate in the first place. 
2. The subsidy argument against animal agriculture gets a lot of airtime, but Kim pushed back on that. The real bottleneck is scale. And for something like cultured meat, getting to a meaningful scale could be an intergenerational effort. 
3. Forget center-of-plate steak replacements. The near-term opportunity is in blended products — think beef mince mixed with soy protein — where the plant-based ingredient works as part of the dish, not a substitute for it. 

Links & Resources: 

Learn more about Kim and the organizations mentioned in this episode: 

• Unovis Asset Management — unovis.vc 
• Good Food Institute — gfi.org 
• Kim Anders Odhner — LinkedIn: https://www.linkedin.com/in/kim-anders-odhner/ 
• Wageningen University — wur.nl 

About the Guest 

Kim Anders Odhner runs Unovis Asset Management's Europe and Asia practice. He backed companies like Beyond Meat, Oatly, and Mosa Meat before most investors knew alternative protein was a category. Before Amsterdam, he spent 25 years doing private equity deals across Vietnam, Hong Kong, and Singapore — and he's now raising Unovis's third fund to back food tech companies at the growth stage. 

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Dr. Henry Erdlei is a physician-scientist pushing the boundaries of cancer immunotherapy. An alumnus of Charité Medical School and a researcher at the Max Delbrück Center for Molecular Medicine in Berlin, Henry has dedicated years to engineering immune cells to hunt and destroy tumors — and he is now applying that expertise to GoCART Therapeutics, a biotech startup developing a modular CAR-T cell platform that could revolutionize cancer treatment. His work sits at the crossroads of biology, engineering, and AI-driven drug design. 

This conversation highlights CAR-T therapy, a highly effective cancer treatment not yet available for 70% of cancer types. Targeting antigens on vital tissues like the brain and bone marrow is risky, but GoCART's 'AND gate' system requires two antigens for activation, enabling it to target 'undruggable' cancers. Henry discusses the science, business plan, funding, and his views on drug regulation in straightforward language.

KEY TOPICS COVERED 

1. The Undruggable Antigen Problem: Why 70% of cancer types can't be treated with current CAR-T therapy — and how the best tumor markers are also found on tissues you can't afford to destroy. 

2. GoCART's AND Gate: Dual-Antigen Recognition. How GoCART's modular system needs two antigens on a cell for activation, allowing precise tumor targeting without collateral damage. 

3. AI-Driven Peptide Engineering at Scale: How machine learning enabled GoCART to analyze 180,000 trimeric sequences computationally — a process that would have cost over €200M in laboratory work — and reduce it to 20 validated candidates. 

4. The Platform Business Model: Why GoCART is building the "operating system" for CAR-T therapy — a single universal cell product with swappable binders — and how partners can develop and sell binders on the platform. 

5. Rethinking Drug Regulation: Henry's argument that the orphan approval pathway should become the standard: provide treatments to patients after Phase II with informed consent, conduct Phase IV surveillance on the market, and significantly reduce costs.

KEY INSIGHTS 

1. The real challenge in cancer immunotherapy isn't whether CAR-T cells are effective — it's that most of the best targets for treatment are also found on healthy tissue, meaning the therapy could destroy vital organs along with the tumor. GoCART's dual-recognition system eliminates this limitation. 

2. Personalized medicine doesn't have to mean creating a new drug for each patient. By modularizing the system — one universal CAR-T cell, many interchangeable binders — GoCART provides patient-specific treatment on an industrial scale, with the potential to reduce costs from $800K to just a few thousand over time. 

3. The current Phase III clinical trial requirement adds hundreds of millions in costs and years of delay before patients can access treatments that are already proven effective after Phase II. Moving to a market-while-monitoring model could deliver effective therapies to patients more quickly, generate more comprehensive real-world data, and lower drug prices overall.

LINKS 

• GoCART Therapeutics website: https://gocarttherapeutics.com/
• Henry Erdlei on LinkedIn: https://www.linkedin.com/in/henry-erdlei-1a83b42b9/
• Contact: [email protected]

GUEST BIO 

Dr. Henry Erdlei is the Co-Founder of GoCART Therapeutics, a Berlin-based biotech startup developing a modular CAR-T cell platform to advance precision cancer immunotherapy. He is a physician-scientist trained at the Charité Medical School and the Max Delbrück Center for Molecular Medicine (Helmholtz), where his research focused on engineering immune cells for tumor targeting.

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Oded Agam | NextLeap Ventures — Deep Tech Investing, the Intel AI Miss, and Building Innovation Ecosystems

Oded Agam is one of those rare investors who has actually built what he now funds. With 35 years spanning Israeli startups, Fortune 50 strategic planning at Intel, and early-stage deep tech investing through NextLeap Ventures, Oded brings an operator's lens to every deal. He led Intel's Strategic Technologies Group — the unit responsible for identifying and incubating transformational technologies — and drove strategic planning for product lines generating over $30 billion in revenue. When he left Intel in 2017, he called four former colleagues and started a venture fund.

This conversation matters because Oded doesn't deal in theory. He walks through how NextLeap narrows nearly 1,000 startups down to three investments per cycle, why he pitched a $300 million AI program to Intel leadership in 2014 that could have changed the chip industry's trajectory, and what founders consistently get wrong in a pitch. Whether you're raising capital or refining your investment thesis, this is a masterclass in disciplined deep tech investing from someone who has sat on both sides of the table.

Key Topics Covered

1. From Intel strategist to venture founder — How leading Intel's Strategic Technologies Group and building internal startups shaped Oded's investment thesis at NextLeap.
2. The Intel AI miss of 2012–2014 — The inside story of a $300M AI proposal that, if approved, could have positioned Intel — not NVIDIA — as the dominant force in AI.
3. The "wisdom of the intelligent crowd" — NextLeap's process of filtering \~1,000 startups to three investments per cycle using a panel of 100+ Fortune 500 executives.
4. Five dimensions of investability — Team, problem, deep tech moat, business potential with exit strategy, and traction through prototypes and design partners.
5. Architecting an innovation ecosystem — The five pillars behind Israel's per-capita startup dominance — and why they're replicable anywhere with the right intent.

Key Insights

1. Deep tech is a moat — but only a temporary one. Oded introduced the concept of "transient sustainable strategic advantage" — no competitive moat holds forever. Founders need to build one and immediately start building the next. Speed of execution matters as much as the IP itself.
2. The best founding teams complement each other, not duplicate each other. NextLeap looks for two to three co-founders from different disciplines who have pre-existing relationship capital. When the inevitable hard moments hit, teams that know each other's rough edges survive. Teams of strangers often don't.
3. An ecosystem isn't built on startups alone. Israel's innovation engine runs on five pillars: world-class research universities, compulsory military service that accelerates technical learning, multinational R\&D centers providing talent and exit paths, a culture that accepts failure, and government programs that fill market gaps.

Links

• NextLeap Ventures website: https://nextleapventures.com/
• Oded Agam on LinkedIn: https://il.linkedin.com/in/oded-agam-4b840
• Contact Oded: [email protected]

Guest Bio

Oded Agam is the Managing Partner and Founder of NextLeap Ventures, an Israeli-based early-stage deep tech venture fund with 26 portfolio companies and three successful exits — including acquisitions by Synopsys, Nano Dimension, and Dell. Before founding NextLeap in 2017, he spent over 11 years at Intel, leading strategic planning for product lines generating more than 80% of Intel's global revenue and heading the Strategic Technologies Group. 

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EP004 — Charles Cormier on Systems, Cold Email, and Why Most Founders Get Fundraising Wrong 

Charles Cormier is a founder who doesn’t wait for permission. As CEO of RaasRocket and founder of GTM Ventures and the Podbuyer podcast network, he’s learned that fundraising today is just as much about the systems you build as the people you know. In this episode, he sits down with Maxim Atanassov to unpack why traditional approaches like warm intros and VC lunches often fall flat—and what to do instead. His take is simple, practical, and grounded in real outcomes, all shaped by a first-principles, energy-efficient way of working. 

We dig into how capital markets have shifted: hype alone is no longer enough to get you funded, and a lot of founders haven’t caught up. Charles has worked with hundreds of founders on fundraising and go-to-market strategy and keeps seeing the same patterns show up again and again. 

Here are a few of the most interesting things we cover: 

1. Systems-Based Fundraising: Charles explains why a well-built cold email outreach system—something you can turn on, measure, and keep improving—often beats traditional networking for most founders who don’t already have decades of relationships. 
2. What Makes a Company Investible: At the end of the day, investors want proof—not just a polished pitch deck. They’re looking for traction, real revenue, and a financial model that clearly shows meaningful upside, plus risks they can understand and live with. 
3. Podcasting as a Strategic Weapon: A podcast isn’t just about downloads or exposure. When you treat it like a system, it becomes a source of data, a credibility signal, and a structured way to regularly earn 30 minutes with investors who might never otherwise take a meeting with you. 
4. Why Founders Shouldn’t Romanticize Fundraising: Raising capital is a milestone—not the finish line. The real win is building a profitable, durable company, but lots of founders still confuse raising money with actually succeeding. 
5. AGI and the Future of Entrepreneurship: After surveying more than 2,000 founders, Charles found that only about 1% have a solid grip on what’s coming with AI. He calls this a “fundamental sin” for anyone serious about building a company today. 

3 Key Insights 

These are some of the key insights from our talk: 

1. Put your energy where it actually counts. Systems—like email campaigns, podcast workflows, or AI tools— help turn effort into real and repeatable results. Burnout usually shows up when you’re stuck doing high-effort, low-reward work without enough support or leverage. 
2. Investor fit is harder than most founders think. It's not about check size — it's about understanding what actually drives someone to write that check. Sometimes it's pure thesis alignment. Sometimes it's personal. Charles talked about biotech investors who got involved because they lost someone to cancer. You don't find that out from a CRM. You find it out by doing the work — conversations, follow-ups, actually paying attention to what people tell you. 
3. And on the AI front, Charles is blunt about where this is heading. Agents are already handling chunks of the work inside their company. The founders who'll thrive aren't the ones doing more. They're the ones figuring out what only they can do: closing, setting direction, making the calls that machines can't. Everything else is getting automated, whether you're ready or not. 

About Charles Cormier 

Charles Cormier is a serial entrepreneur, CEO of RaasRocket, and founder of GTM Ventures and the Podbuyer podcast network. He helps founders raise capital and speed up their go-to-market efforts through systems-driven cold outreach, strategic podcasting, and first-principles thinking. 

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Guest: Paul Anthony Claxton, Managing Partner, Digerati Investments

About This Episode

Paul Anthony Claxton didn't follow the usual route into venture capital. He served four combat tours in Iraq as a United States Marine — including leading a command intelligence center where he observed the early days of drone warfare — before enduring six years of corporate layoffs, building a bootstrapped company to $20K MRR in three months, and eventually moving into early-stage investing. Today, he manages Digerati Investments, a $60 million AI-focused seed and Series A fund based in Southern California.

This conversation is worth your time because Paul operates at a rare intersection: operator empathy, military-grade discipline, and a genuine sophistication around capital strategy that most early-stage investors don't bring to the table. He's not interested in hype. He's interested in founders who understand what they're building, why they're raising, and whether venture capital is even the right tool for their business — a conversation most of the industry is still too afraid to have.

Key Topics Covered

1. From the Marine Corps to venture capital — how four combat tours, a father who was a drill instructor, and six years of corporate volatility shaped Paul's worldview as an investor and operator.
2. What investors actually seek — and what destroys deals — Paul's three Ds framework: data rooms, diligence, and disclosure, and why most founders fail before the conversation even begins.
3. The issue with how founders approach fundraising — Why creating a pitch deck and jumping straight to VCs is the wrong first step, and what founders should know about capital markets before raising any money.
4. The SAFE note — what it gets wrong — A direct critique of the industry's most popular early-stage instrument, including why the absence of a valuation floor signals what Paul interprets as a lack of founder conviction.
5. The Reloadable Note — Paul's proprietary financing instrument designed to protect founders from early dilution while providing early-stage investors with real-time liquidity options at specified trigger events.

Key Insights:

1. Mental toughness is the true competitive advantage. The Marine Corps taught Paul that the toughest challenges are conquered brick by brick — with speed, intensity, and relentless focus on the smallest details. That same approach guides how he evaluates founders today.

2. Venture capital is not the default answer. Many founders assume that starting a company requires raising VC. Paul argues that understanding the complete capital stack — debt, ARR financing, venture debt, angel investment — and knowing why you're choosing VC is one of the most crucial hard skills a founder can develop.

3. AI is in its foundation-building phase — and most of what's out there won't survive it. Paul's view: the companies being built between now and roughly 2030 will serve as the foundational layer of the AI era — the next Googles and PayPals. Everything else driven by hype, lacking genuine utility or real-world impact, will fade away.

Links & Resources

• Paul Anthony Claxton on LinkedIn: https://www.linkedin.com/in/businessmanathletemarine
• Paul's website: https://www.paulclaxton.io/
• Digerati Investments: https://www.digeratiinvestments.com/
• Future Ventures Corp: https://www.futureventures.ca/

Guest B

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Ray Fitzpatrick, Founder & CEO, Profitual 

Ray Fitzpatrick spent ten years writing checks to startups as Director of Investments at NBIF — New Brunswick's pre-seed venture capital fund — and observed the same issue recurring across hundreds of companies. Founders excelled at developing products but struggled to grasp their own finances. This wasn’t due to laziness, but because no accessible tool existed for non-finance professionals to use effectively. That's the challenge Profitual aims to address. 

This discussion extends far beyond the product itself. Ray is a CPA and a serial entrepreneur managing three businesses at once, with firsthand experience on both sides of the investor table. His insights into fundraising, co-founder relationships, cap table design, and what financial literacy truly means for a scaling founder are rooted in real-world experience — not just theory. If you're building a company and have ever felt nervous when your investor asked about burn rate or runway, this is for you. 

Key Topics Covered 

1. The origin of Profitual — how a decade of observing non-finance founders grapple with investor reporting inspired Ray to create the "Canva for finance." 
2. Fundraising in Canada — Ray's honest breakdown of what works, what doesn't, and why building a snowball of early validation beats chasing a big lead investor. 
3. Cap table philosophy — Why Ray intentionally maintains conservative valuations, prefers common stock over preferred shares, and emphasizes timeliness of returns over headline valuation. 

3 Key Insights 

• A financial forecast that your founders can't explain is worthless. Ray's entire product philosophy revolves around this idea: it's not enough to produce impressive numbers; the business owner must understand what drives them. A polished AI-generated report filled with unsupported assumptions, especially one that can't be defended in an investor meeting, is worse than having no model at all. 
• Begin with validation rather than a pitch deck. During Ray’s time at NBIF, less than 2% of the companies that participated had any revenue or signed letters of intent. That small group immediately caught our attention. Securing written commitments from even one person — whether a customer, investor, or grant provider — can change the entire conversation. 
• The co-founder you rush into partnering with is the one who could cause your downfall. Ray lost his original Profitual co-founder early on because their visions weren't aligned. Since then, every successful partnership he's formed has been with someone he's worked closely with for years before ever considering going into business together. 

Links & Resources 

• Profitual website: https://profitual.ai/
• Ray Fitzpatrick on LinkedIn: https://ca.linkedin.com/in/raymond-fitzpatrick-66761263 
• Devil's Keep Distillery 
• NBIF (New Brunswick Innovation Foundation) 

About Ray Fitzpatrick 

Ray Fitzpatrick is the Founder and CEO of Profitual, a financial forecasting and reporting platform for startup founders and SME operators without a finance background. A CPA, Ray spent a decade as Director of Investments at NBIF, participating in over 200 financings and helping build a portfolio of 75 startups in New Brunswick. He's also a co-founder of Quantified Accounting and Devil's Keep Distillery, dedicating his time to developing Profitual and mentoring future founders. 

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From EdTech Exit to AI Agents: Scaling on Your Own Terms with David Kofoed Wind 

Guest: David Kofoed Wind ·(Founder of Agentwork) 

David Kofoed Wind has accomplished what most founders only talk about — building two companies from scratch, taking them through Y Combinator, scaling them responsibly without overextending on headcount, and selling one of them. He's a mathematician with a PhD in machine learning, a former CERN collaborator, and someone who has been seriously considering AI since he was thirteen. Now he's back in the game with Agentwork, a company rethinking how work gets done when AI and humans work together side by side. 

This conversation is valuable for founders trying to understand where AI genuinely fits into their operations — not just the hype, but the real substance. David speaks plainly about what has changed, what stays the same, and why pursuing headcount growth was never a smart move. He has been working at the forefront of this shift longer than most, and his insights on distribution, moats, and the future of digital work are based on hard-earned experience rather than speculation. 

Topics covered 

1. Engineering is no longer the bottleneck — building has become cheap and fast, which means the real constraint has shifted entirely to distribution. 
2. The audience moat — in a world where anyone can build a product overnight, founders who already own an audience have a structural advantage that compounds. 
3. What actually survives as a moat — features are dead as a competitive advantage; brand, switching costs, data, and network effects are what hold. 
4. How Agentwork works — a human-in-the-loop model that handles complex, open-ended work tasks for non-technical business teams, with tiered assurance levels built in. 
5. The future of work — David's honest take — a techno-optimist view on why this shift is different from the Industrial Revolution, and what it means for labor, hiring, and unit economics. 

Key insights from the Episode 

• Niche down until you can genuinely be the best in the world at something — not just the best book on negotiation, but the top resource on selling electric cars in a specific market. A smaller scope means less competition and a real chance to own the category. 
• The SaaS disruption will appear slow at first, then suddenly accelerate. Established players won't collapse overnight, but lean new entrants who build with AI and avoid hiring will slowly outperform them on unit economics until the gap becomes impossible to bridge. 
• Zero hallucinations are impossible philosophically, not just a product feature — humans hallucinate too. The smarter approach is to build systems where AI and human verification work together, because that combo is truly best-in-class. 

About David Kofoed Wind 

David Kofoed Wind is the founder of Agentwork, a human-in-the-loop AI platform designed for business teams that need complex work done reliably and at scale. He previously co-founded Peergrade and Eduflow, both Y Combinator companies that grew through product-led growth and were ultimately acquired by Mountiverse. David holds a PhD in machine learning and brings a rare combination of deep technical fluency and operator experience to every problem he addresses.