In this episode, we’re joined by Jason Holt, Partner at Orion Industrial Ventures, a venture firm backing early-stage technologies that are transforming how we mine, process, and secure the materials that power energy infrastructure and defense.

Jason unpacks what’s actually changing in mining—from how we discover resources to how we de-risk startups in a geopolitically fragile supply chain.

What You’ll Learn in This Edition

1. Where the real pressure is in critical minerals
   Why copper, nickel, and rare earths aren’t just hot—they’re bottlenecks for the entire energy system.

2. How AI is cracking the exploration code
   From legacy datasets to high-grade copper breakthroughs—why machine learning is finally working in the field.

3. The new due diligence roadmap for industrial Deep Tech
   What separates a science project from a fundable Series A, and how capital intensity is actually being managed.

4. Business models that actually return venture capital
   Why fixed-fee software won’t scale—and how royalties, equity, and outcome-based deals are reshaping mining tech.

5. Geopolitics as a forcing function
   How shifting supply chains, regulatory reform, and onshoring mandates are changing the investor playbook.
   

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About VC Guides

Whether you’re breaking into venture or refining your edge within it, VC Guide delivers what textbooks don’t—real-world experiences, straight from those who’ve lived them.

Our mission is to turn high-signal insight into real advantage, helping you succeed in deep tech venture capital.

This series is designed for emerging and active investors and experts who want to think sharper, move faster, and operate with more precision in the complex markets that define deep tech.

Catch up on past episodes:

VC Guides are available exclusively to our Premium Members.

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STRATEGIC INSIGHTS FROM THE EPISODE

Critical Minerals and Where the Pressure Lies

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As deep tech continues to shape critical industries—from food systems to climate innovation—the need for investors who understand research, not just markets, is more urgent than ever.

In this episode, we’re joined by Chloë Payne, Principal at Ponderosa Ventures, a New York–based early-stage VC firm focused on agtech, foodtech, and climate.

With a background in biomedical science and public health, Chloë didn’t enter venture capital through the traditional finance track. She built her investor toolkit from the ground up—translating research fluency into deal fluency.

This is a rare, inside-out guide—crafted specifically for technically trained professionals looking to pivot into venture capital or sharpen their edge within it.

This episode distills real-world experience into practical insights for navigating the Deep Tech VC landscape — from decoding cap tables and sourcing competitive deal flow to embracing uncertainty and building commercial judgment on a scientific foundation.

What You’ll Learn in This Edition

• The core financial and analytical skills scientists must master to operate at the investor level

• How to build and maintain high-trust networks that drive deal flow—even if you're not a natural extrovert

• What real-world VC judgment looks like when data is incomplete and timelines are compressed

• How to recognize whether a breakthrough is just interesting... or truly fundable

• The daily rhythms of an investor’s role—from founder calls to IC memos to portfolio strategy

• How to develop the kind of pattern recognition and asymmetric insight that compounds over time

For anyone coming from academia, R&D, or engineering into venture capital, this episode is your blueprint.

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About VC Guide

Whether you’re breaking into venture or refining your edge within it, VC Guide delivers what textbooks don’t—real-world experiences, straight from those who’ve lived them.

Our mission is to turn high-signal insight into real advantage, helping you succeed in deep tech venture capital.

This series is designed for emerging and active investors and experts who want to think sharper, move faster, and operate with more precision in the complex markets that define deep tech.

Catch up on past episodes:

VC Guides are available exclusively to our Premium Members.

Subscribe now

By joining The Scenarionist Premium, you’ll unlock access to this full series and other exclusive insights, including:

The Core Skills Scientists Need to Enter Venture Capital

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While most VCs are chasing software scalability, robotics sits at the edge of venture investing—complex, capital-intensive, and tightly coupled with supply chains and physical infrastructure. But as deep tech continues to mature, the robotics sector is quietly entering a breakout moment. For those who understand how to navigate it, the opportunity is enormous.

In this episode, we’re joined by Karthee Madasamy, Founder and Managing Partner at MFV Partners, a Silicon Valley-based early-stage fund focused on Deep Tech startups transforming legacy industries like logistics, manufacturing, and mobility.

Karthee takes us on a deep dive into what truly makes robotics startups fundable and scalable, drawing on years of hands-on experience in the field.

What You’ll Learn in This Edition

This isn’t a theoretical chat. It’s a masterclass for anyone building, funding, or advising robotics and deep tech startups. Karthee shares hard-won insights across:

• How top investors evaluate early-stage robotics startups
  What matters beyond a flashy demo—and how to spot scalable infrastructure early.

• Case studies and real-world scenarios
  What real-world success looks like when building in complex, physical environments.

• Why software isn’t the only moat
  Learn how defensibility works in hardware-heavy startups and when vertical integration makes sense.

• The misunderstood metrics that actually matter
  From deployment reliability to system-level efficiency—how VCs track traction before revenue.

• System design as a true differentiator
  Why founders must master integration, not just invention, to reach real scale.

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If you’re just joining us, The Scenarionist VC Guides are part of an exclusive series on venture strategy for deep tech founders and investors. Here’s what you’ve missed in previous editions:

Our VC Guides are available exclusively to ours Premium Members. By joining Scenarionist Premium, you’ll unlock access to this full series and other exclusive insights, including:

Why Robotics Is Back in the Spotlight

Today, robotics is once again in the spotlight—this time, with renewed seriousness and potential. For those entering the field as investors, the landscape has evolved significantly, and the time is ripe to explore where real opportunities may lie. There’s a growing need to understand not just the broad strokes but also the specific niches that are quietly maturing, creating fertile ground for high-impact ventures.

Robotics has been around for decades, but it hasn’t always enjoyed the confidence of the investment community. Even just a few years ago, many were still skeptical. There were few large exits, few unicorns, and a general sense that robotics was "promising," but perpetually on the horizon.

That narrative is beginning to change.

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Unlike software, where iteration is fast and cost-effective, deep tech startups must navigate industrial-scale production, complex supply chains, and billion-dollar infrastructure commitments. The moment a company moves beyond the lab, the risk profile shifts.

Most deep tech startups hit a brutal scaling bottleneck—a moment where technology readiness alone isn’t enough, and the difference between success and failure comes down to strategy, financing structure, and execution precision.

In this VC Guide, Phil Morle, Partner at Main Sequence Ventures, shares practical tactics and strategies to support industrial startups as they scale successfully.

What You’ll Learn in This Edition

• CapEx-Heavy or Asset-Light? – How to structure your business model for scalable growth while managing capital intensity.

• Scaling Readiness: Why Early Commercial Traction Is No Longer Optional – The new investor standard for funding Deep Tech beyond the lab.

• Funding Beyond Equity: Designing a Capital Stack for Sustainable Growth – How to blend venture capital, non-dilutive funding, and infrastructure financing.

• Avoiding the ‘Valley of Death’ in Deep Tech Scaling – The critical financial and operational pitfalls that derail startups before commercialization.

• Mapping the Path to Liquidity – Designing compelling exit strategies for long-term value creation.

Deep tech companies require massive capital investment, careful techno-economic validation, and a clear funding strategy from day one. Whether you're a founder, operator, or investor, understanding the right scale-up path—balancing venture capital, non-dilutive funding, and project financing—is critical to success.

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If you’re just joining us, The Scenarionist VC Guides are part of an exclusive series on venture strategy for deep tech founders and investors—offering insights from leading deep tech VCs, founders, and operators.

Here’s what you’ve missed in previous editions:

The Scenarionist VC Guides are available exclusively to premium subscribers. By joining Scenarionist Premium, you’ll unlock access to this full series and other exclusive insights, including:

• 30 Venture Lessons to Build and Back Great Deep Tech Companies

• The Deep Tech Negotiation Playbook

• The Next $100B Deep Tech Market No One Is Talking About

LESSONS LEARNED

Scaling Deep Tech or SaaS: What’s the Difference?

Scaling a Deep Tech company presents a fundamentally different set of challenges compared to scaling a software-based startup. While software companies focus on refining their codebase, expanding their teams, and driving customer acquisition, Deep Tech startups often face an entirely different landscape—one marked by high capital expenditures (CapEx), limited early-stage customers, and the need for large-scale physical infrastructure.

For venture capitalists (VCs) and founders, one of the most critical early questions in Deep Tech is determining whether a company will be CapEx light or CapEx heavy. In software, the preference is almost always for asset-light models, where infrastructure costs remain minimal. However, in Deep Tech, significant investment in physical assets is often unavoidable.

CapEx Realities in Deep Tech

A Deep Tech company—whether in quantum computing, bio-industrial engineering, energy storage, or aerospace—requires the manufacturing of physical products, which brings two primary business model choices:

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It wasn’t that long ago that “deep tech” felt like a niche category—a distant frontier for either big defense contractors or university labs surviving on government grants. Today, it’s a different story. From space infrastructure and advanced AI to next-gen biotech and energy solutions, the types of technology once reserved for research institutes or the largest industrial conglomerates are now at the center of venture capital discussions. But there’s one twist: increasingly, the real winners in these categories are those that bridge both commercial markets and government demand—especially in defense.

Dual-use technology might sound like one of those catch-all terms often used at the intersection of Silicon Valley and the Pentagon. However, there’s a long history behind it—one that dates back decades to when the U.S. government-funded “public goods” like GPS and the internet. The concept originated in the 1950s when the term “government” primarily referred to the military.

One key takeaway from this great conversation with Sherman Williams, Managing Partner, and Forrest Underwood, Venture Partner, at AIN Ventures., is that government bodies can serve as both customers and partners for critical emerging technologies—especially those with security applications that also translate to large-scale civilian markets. On the other hand, dual-use technologies must address both government and commercial demand signals, reinforcing their broad and multifaceted impact.

But that’s just the beginning. In this Venture Guide, we explored and analyzed:

• The value of dual-use technology—and why its relevance is growing

• The importance of non-dilutive vs. dilutive funding

• Scaling dual-use technologies: case studies and historical perspectives

• Key due diligence considerations for dual-use startups

• Essential insights into revenue expectations and growth targets for dual-use ventures

If you’re just joining us, our Venture Guide series is a detailed exploration of the strategies and tactics of global deep tech investors and experts—delivered straight to your inbox.

Here are our previous four editions:

We’ll be publishing more editions over the coming weeks and months. By joining Scenarionist Premium, you’ll unlock access to the full series and much more, exclusively available to our premium members. This includes our carefully curated list of 30 Venture Lessons distilled from the wisdom of 50+ Deep Tech investors and experts from around the globe.

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The DIME Framework and Its Role in Dual-Use Investments

For those new to dual-use technology, the DIME framework is a useful tool for understanding how national power is structured. It categorizes the 4 key instruments of national power that influence both government and commercial markets:

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The Scenarionist Premium is designed to make you a better Deep Tech Founder, Investor, and Operator. Premium members gain exclusive access to unique insights, analysis, and masterclasses with the wisdom of the world’s leading Deep Tech thought leaders. Invest in yourself, and upgrade today!

What breakthrough technologies and strategies are redefining the global energy storage landscape in response to skyrocketing demand?

To answer this question, we are thrilled to welcome Anil Achyuta, Managing Director at TDK Ventures, who will share insights on the transformative technologies and strategies driving change across the energy storage ecosystem.

Join us as we delve into the intricacies of the battery value chain, examining the challenges and breakthroughs shaping the future of energy storage.

From lithium extraction to cutting-edge battery recycling techniques, we’ll uncover how innovative startups and industry leaders are addressing bottlenecks and unlocking new opportunities.

💡 What You Will Learn:

• 🔋 Battery Value Chain: From Mining to Recycling
  Explore the journey of lithium-ion batteries and why sustainability and efficiency are crucial as demand surges globally.

• ⚡️ Core Battery Features Across Applications
  Learn how energy density, charging speed, and lifespan are optimized for EVs, grid storage, and more.

• 🚀 Startup Case Studies Tackling Technological Bottlenecks
  See how startups innovate in lithium extraction, manufacturing, and recycling to transform the industry.

• 📈 Scaling Deep Tech: Funding and Revenue
  Discover strategies for leveraging non-dilutive funding and generating early revenue to build sustainable business models.

• 🌍 Sustainability’s Role in the Battery Ecosystem
  Understand how recycling and upcycling drive cost reductions and environmental impact, ensuring long-term success.

KEY INSIGHTS FROM THE EPISODE

🔋 From Raw Materials to Recycling: A Snapshot of the Battery Value Chain

The battery value chain is complex, spanning from raw material extraction to recycling spent batteries. As global demand surges, fueled by electric vehicles, renewable energy, and consumer electronics, a sustainable and efficient approach is essential. Let’s explore this journey step by step—from raw materials to finished batteries and beyond. For simplicity, we’ll focus on lithium-ion batteries.

1. Raw Materials: Mining and Extraction

Batteries start with mining, particularly when we focus on lithium-ion batteries. These rely on key minerals such as lithium, nickel, manganese, cobalt, and others.

There are two main chemistries in lithium-ion batteries:

• LFP (Lithium Iron Phosphate)

• NMC (Nickel, Manganese, and Cobalt)

Lithium can be extracted from the ground as ore or obtained from solutions like brine. Once mined, the raw materials must be refined to achieve "battery grade" quality, a critical step that typically occurs in specific geographies with expertise in refinement.

2. Manufacturing Battery Cells

After refinement, the materials are sent to cell manufacturers, such as CATL or BYD. These manufacturers produce single-unit battery cells. The active materials are coated onto foils. Some manufacturers specialize in producing these electrodes, while others assemble the coated materials into cells.

In brief, there are 2 main paths to consider here:

Coating Process: Refined minerals are coated onto foils—copper for the negative electrode and aluminum for the positive electrode.

Electrodes and Assembly: These coated foils are rolled or stacked, filled with electrolytes, and go through processes like "formation" and "aging" to prime the battery cells for use.

3. Modules, Packs, and Battery Management

Once cells are made, they are assembled into modules. Modules are then combined to form battery packs. Some companies specialize in this step, like Powin or Tesla, which also integrate a Battery Management System (BMS). The BMS acts as the brain of the pack, ensuring optimal performance by managing energy output, cycling, and safety.

Integration and Application
Battery packs are then integrated into final applications, such as electric vehicles (EVs), energy storage systems (ESS), or large-scale utility solutions like backup power for data centers. Energy companies may also use them in "mega-pack" projects for grid storage.

4. Beyond Use: Recycling and Upcycling Batteries

Here we can find 2 possible pathways:

Second Life for Batteries

When a battery’s capacity fades to about 80%, it might no longer serve EVs but can still be used in energy storage systems. This extends the battery's useful life.

Recycling: Closing the Loop

Eventually, batteries are sent to recycling facilities. Here’s how this process works:

Disassembly and Shredding: Batteries are safely dismantled and shredded into "black mass," a mix of valuable materials that opens up several pathways for reuse and upcycling.

1. One option is to sell the black mass as-is on global markets, where its price fluctuates depending on the value of metals like lithium, cobalt, and manganese at any given time. These prices are influenced by supply and demand dynamics, making this approach straightforward but susceptible to market volatility.

2. Alternatively, black mass can be processed further to extract individual materials, such as lithium carbonate, manganese sulfate, or cobalt sulfate. These refined components can then be sold individually, either to metal exchanges or to traders who strategically buy and store metals, waiting for favorable market conditions to sell at a profit. While this approach adds value compared to selling raw black mass, it remains tied to the volatility of commodity markets.

3. A more advanced and innovative option involves upcycling. In this process, extracted materials are transformed into higher-value products, such as cathode or anode precursors. These materials are essential for producing new batteries and are sold directly to battery manufacturers. Unlike traditional recycling, upcycling not only recovers materials but enhances their value, contributing to a more sustainable and economically efficient battery lifecycle.

Sustainability, Value Chain, and Economics

By recycling and upcycling, manufacturers can lower the cost of producing batteries. This approach also aligns with sustainable practices by reducing the need to continuously mine for raw materials.

⚡️ Tailoring Batteries for Diverse Needs: Key Battery Features Explained

Let’s explore the core features of batteries as products, particularly in the contexts of electric vehicles (EVs) and renewable energy storage. Key attributes like energy density, charging speed, and lifespan are crucial for understanding how batteries serve different markets and applications.

Each Geography Comes with Unique Requirements for EV Design

EVs in Western countries like the United States are designed for long-range driving. The roads are wide, distances are significant, and daily commutes can be quite long. For instance, covering a distance of 32 miles is considered “a short drive” there.

In contrast, in countries like India, a short drive might be less than one kilometer, as navigating even that distance can take 15-20 minutes due to traffic and infrastructure. In Europe, for instance, roads are smaller, distances are shorter, and EV battery packs are tailored accordingly.

Energy Density

Energy density, measured in watt-hours per kilogram (Wh/kg), is critical for EV performance. It determines how much energy a battery can deliver relative to its weight.

Let’s put it into practice:

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This episode spotlight the case study of FibreCoat, a startup that began at RWTH Aachen University and evolved into a disruptive force in the advanced materials industry.

Learn how FibreCoat tackled challenges like scaling, market adaptation, and forging strategic partnerships to bring affordable, high-performance fibers to traditionally inaccessible markets.

Hear from Robert Brüll, CEO of FibreCoat, and Adarsh Sowcar, Venture Investment Manager at NOVA - the Corporate Venture Capital arm of Saint-Gobain, as they discuss how vision, adaptability, and collaboration between CEO and early-stage investors drive success in a competitive industry.

💡 What You Will Learn from the FibreCoat Journey:

• Integrate with Existing Infrastructure: Leveraging existing production capacity reduces costs and accelerates scaling.

• Value Investor Collaboration: Partnering with knowledgeable investors can provide strategic guidance and industry connections.

• Embrace Market Feedback: Listening to customer needs helps refine the product and achieve market fit.

• Be Willing to Pivot: Adapting to new challenges or opportunities is crucial for long-term success.

JOIN THE SCENARIONIST PREMIUM!

✨ This premium subscriber-only edition of The Scenarionist is designed to make you a sharper player in Deep Tech startups and venture capital.

Whether you’re an experienced investor leading an established fund, a new manager stepping into the field, an angel investor exploring new opportunities, or a founder eager to see the industry from a fresh perspective, The Scenarionist Premium is built for you.

In detail, you'll access to:

• In-depth discussions on due diligence best practices, value chains, and policy insights.

• Startup case studies showcasing bold technologies implemented in industrial settings.

• Exclusive analysis and research crafted with scientific rigor by our team.

Along with full access to the archive, unlocking all past editions of our must-read Deep Tech Briefing that you may have missed.

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KEY INSIGHTS FROM THE EPISODE

🧵FibreCoat: Market, Team, Tech

FibreCoat aims to address the challenge of expensive materials by producing high-performance fibers at an affordable price, making them accessible to a wide range of industries.

The company specializes in metal-coated fibers, with its first product being aluminum-coated glass fibers. Traditionally, such materials cost between $300 to $600, or even thousands of dollars, per kilogram.

FibreCoat’s innovative processes allow them to offer these materials at prices ten times lower, enabling applications in sectors like automotive that were previously impractical due to cost. This approach ensures the availability of high-quality, lightweight, and high-performance materials for a broader audience.

Technology

The company achieves this by leveraging existing high-speed fiber-spinning capacity, integrating its proprietary coating technology directly into production lines. This method is specifically designed to utilize established infrastructure, reducing costs while maintaining efficiency.

The coating adds novel properties to the fibers without compromising affordability, as the production process retains its high-speed capabilities. FibreCoat’s intellectual property centers on the ability to apply high-quality coatings at rapid speeds, ensuring both scalability and sustainability in their production methods.

Team and Operations

FibreCoat's team is comprised of approximately 40 professionals dedicated primarily to operations and research and development (R&D). The operations team manages the production lines, while the R&D department develops and customizes coatings to meet specific customer requirements. The company operates on a global scale, with its primary production facilities located in Georgia, where an additional 60 to 70 team members contribute to manufacturing efforts.

The Importance of Pivoting

As we will discuss, FibreCoat has demonstrated a strong ability to adapt by embracing several significant pivots throughout its journey. These shifts have involved changes to material types, manufacturing processes, and even target markets. Each pivot was driven by the company’s responsiveness to external factors, such as supply chain disruptions, evolving customer demands, or geopolitical challenges. This adaptability has been a cornerstone of FibreCoat’s ability to navigate a complex and dynamic industry landscape.

“We are a spin-off of Aachen University, and the technology goes back to 2014. This was all university research—getting public funding, building the team, bringing in students, and gaining insights. It was a very chaotic time for FibreCoat. Then, we received a big government grant called Exist in Germany. It was 1.2 million euros to spin out of our university [...]. We officially founded the company in early 2020, two weeks before the lockdown in Germany. Then COVID hit. All of our ideas involving polymers didn’t work out because we couldn’t get extruders, and we couldn’t get polymers. Chemists cannot work from a home office. That’s how we committed to metal coating in the first place. We used all of 2020 to get to industrial scale—in this case, pilot scale at one ton per month production—which we achieved in early 2021. With this, we served our first customers.”

Robert Brüll - CEO, FibreCoat

🤝 Building a Founder–Investor Relationship

During an advanced materials incubation program in Germany, FibreCoat caught the attention of Saint-Gobain NOVA, the corporate venture capital arm of Saint-Gobain. The partnership was built on more than financial backing. NOVA brought deep expertise in materials science and industrial scaling, positioning them as a valuable collaborator.

Learning Together

When the war in Ukraine caused energy prices in Germany to soar, FibreCoat relocated certain production activities to Georgia. This move demonstrated the company’s agility in responding to external pressures and highlighted the importance of maintaining a flexible operational model.

"I think one thing that we always keep in mind is to have a broad perspective of innovations within the advanced materials space. And then, second, to engage with startups that are fairly early in the technology development cycle, in order for us to have the ability to work with these entrepreneurs and innovators at a very early stage, to really understand how Saint-Gobain can be helpful. We have a lot of competencies internally within the organization and can really be a force multiplier for these companies. [...] We went with an open mind and with a mindset of: how can we learn from this novel technology and innovation? How can we be part of the story and contribute? So that was the starting point. Subsequently, you know, we participated in the first investment around FibreCoat in order to kickstart a formal collaboration and partnership between the operating business of Saint-Gobain and FibreCoat."

Adarsh Sowcar - Venture Investment Manager, NOVA - Saint-Gobain

📈 Crafting a Scalable Plan in Advanced Materials

1. The CEO’s Perspective

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The idea is to allow you to help you generate a smart thoughtful list of questions you can ask—whether you’re preparing a model or evaluating one—to ensure you’re always a step ahead.

To guide us, we are thrilled to introduce Chris Burk, a recognized leader in the field of techno-economics. Chris brings years of experience and practical insights that will help you approach this topic with clarity and method.

If you’re ready to deepen your understanding and sharpen your skills, join us for the full conversation!

Key themes covered:

• 📈 Why Techno-Economic Modeling Matters for Deep Tech Ventures?

• 🎯 Addressing Uncertainty: Integrating Technical and Economic Components

• 🌪️ Prioritizing Key Parameters with Tornado Diagrams

• ⏳ When and Why Should You Build a Techno-Economic Model?

• 🚩 5 Red Flags in Evaluating Techno-Economic Models

• 🏭 Modeling from Pilot to Commercial Scale

✨ This is a subscriber-only edition of The Scenarionist Premium designed to make you a sharper player in deep tech startups and venture capital.

Whether you’re an experienced investor leading an established fund, a new manager stepping into the field, an angel investor exploring new opportunities, or a founder eager to see the industry from a fresh perspective, The Scenarionist Premium is built for you.

In detail, you'll access to:

• In-depth discussions on due diligence best practices, value chains, and policy insights.

• Startup case studies showcasing bold technologies implemented in industrial settings.

• Exclusive analysis and research crafted with scientific rigor by our team.

Along with full access to the archive, unlocking all past editions of our must-read Deep Tech Briefing that you may have missed.

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KEY INSIGHTS FROM THE EPISODE

📈 Why Techno-Economic Modeling Matters for Deep Tech Ventures?

Unlike traditional software tech industries, Deep Tech projects are defined by extended timelines to generate revenue, high capital demands, and considerable uncertainty.

Techno-economic modeling plays a crucial role in helping early-stage entrepreneurs and investors navigate these complexities, offering a structured approach to evaluate investments and address the unique challenges of deep tech ventures.

By integrating both technical and economic components and appropriately addressing uncertainty, these models provide a structured framework for informed decision-making.

By breaking broad assumptions into granular components, techno-economic models enable stakeholders—including founders, engineers, investors, and funding agencies—to identify and focus on key parameters influencing a project's economic success.

Moreover, beyond simple cost estimation, these models establish a shared language among diverse stakeholders, facilitating objective communication about expectations, uncertainties, and outcomes.

This alignment is critical, ensuring that technical development proceeds efficiently toward market readiness while maintaining transparency in assumptions, and targeting specific challenges with clarity.

🎯 Addressing Uncertainty: Integrating Technical and Economic Components

It's important to understand that techno-economic analyses and models go beyond traditional cost models that lack the necessary technical depth.

A comprehensive techno-economic model combines both technical parameters—such as reaction rates and yields—with economic considerations. This integration is essential for investors and entrepreneurs to gain actionable insights into a technology's feasibility.

In a bioprocess model, for instance, technical settings like rates and yields are as pivotal as economic metrics like material costs.

This dual focus ensures a more thorough evaluation of the technology, enabling stakeholders to assess both its technical viability and economic potential.

From Single Data Points to Probability Distributions

Presenting results as single data points is a common mistake in techno-economic modeling. Instead, results should be understood as probability distributions to account for the inherent uncertainty in early-stage projects.

While a full Monte Carlo analysis can illustrate this uncertainty, even simpler methods can highlight a range of possible outcomes. Grasping the nature and bounds of this uncertainty allows teams to prioritize efforts on mitigating the most impactful variables.

🌪️ Prioritizing Key Parameters with Tornado Diagrams

A tornado diagram is an effective tool for visualizing how sensitive a model's outcomes are to individual input parameters. By ranking these parameters based on their impact, stakeholders can focus on the most influential variables.

For example:

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In this episode, we dive deep into the world of MedTech investing with insights from Peter Olcott, Deeptech Principal at First Spark Ventures.

We’ll uncover why early valuations lag, making it tough for startups to secure initial funding and the critical role that early-stage investors play in guiding these companies through regulatory and market complexities.

Join us as we explore the complexities, risks, and rewards of MedTech investing.

Key Themes Covered:

• 🏥 The MedTech Venture Capital Landscape

• ✨ What Makes MedTech Investing Unique?

• ✅ Insights on Regulatory Risk Analysis

• 📈 Understanding Valuation Stages in MedTech

• 🚀 The Role of Early-Stage Investors in MedTech

• 🍰 Market Analysis in MedTech: The Importance of Bottom-Up Models

• 🏭 Navigating Scalability and Manufacturing Challenges

• 📊 Margins and Financials in MedTech

✨ This is a subscriber-only edition of The Scenarionist Premium designed to make you a sharper player in deep tech startups and venture capital.

Whether you’re an experienced investor leading an established fund, a new manager stepping into the field, an angel investor exploring new opportunities, or a founder eager to see the industry from a fresh perspective, The Scenarionist Premium is built for you.

In detail, you'll access to:

• In-depth discussions on due diligence best practices, value chains, and policy insights.

• Startup case studies showcasing bold technologies implemented in industrial settings.

• Exclusive analysis and research crafted with scientific rigor by our team.

Along with full access to the archive, unlocking all past editions of our must-read Deep Tech Briefing that you may have missed.

Subscribe now

Before diving into it, an important disclaimer:

This content is provided for educational and informational purposes only and should not be interpreted as regulatory, reimbursement, financial, or legal advice. While we aim to clarify the complexities of various agreements and provisions, the nuances can be intricate. Entrepreneurs and investors should consult directly with qualified professionals to navigate these landscapes effectively.

KEY INSIGHTS FROM THE EPISODE

🏥 The MedTech Venture Capital Landscape

Before delving deeper into MedTech venture capital, it’s helpful to frame the healthcare investment landscape. Broadly, healthcare investments can be divided into 2 main categories: pharmaceuticals and medical devices.

1. Pharmaceuticals: These investments center around drugs developed for specific conditions. Pharmaceutical companies follow a different, often longer, regulatory process compared to medical devices.

2. Medical Devices: The term “medical device” encompasses a wide range of products beyond traditional physical devices. These can include:

   • Digital Health Solutions: Purely software-based solutions aimed at improving health outcomes.

   • Drug-Device Combinations: Products that combine both drugs and devices to deliver medication effectively.

   • Surgical Tools: Equipment used by healthcare professionals in procedures.

   • Implants: Devices permanently placed inside a patient’s body to improve or support health functions.

In essence, anything that is not a drug, but aids in the diagnosis, treatment, or management of health conditions, falls under the medical device category. MedTech investors are, therefore, dealing with a diverse array of products, each with its own risks, regulations, and potential for impact in the healthcare sector.

✨ What Makes MedTech Investing Unique?

When it comes to investing in MedTech, or medical technology, there are 2 main areas that set it apart from traditional technology investments. These differences bring unique risks that any potential investor must consider.

1. Regulatory Risk

The first and most significant factor is regulatory risk. Unlike traditional tech companies, MedTech startups face scrutiny from regulatory bodies that assess whether a new device is safe and effective. Regulatory authorities, such as the FDA in the United States, require substantial evidence of a device’s efficacy and safety before approving it for market release. If a regulatory body rejects a device, it can be a devastating blow to the company. The startup may struggle to attract further investment after such a rejection, as this regulatory "no" signals a high risk of failure. For MedTech investors, regulatory risk is often the primary consideration, as it has the potential to halt progress entirely.

2. Market Risk

The second key difference lies in how the payment structure operates within MedTech. In MedTech, the end consumer—the patient—typically does not directly pay for the therapy or device they receive. Instead, insurance companies or healthcare providers, such as hospitals and doctors, handle the payments on behalf of the patient. This dynamic introduces a layer of complexity and risk in the market. It’s essential for investors to understand how insurance companies view the therapy, as their support is critical for the device's commercial success. Unlike traditional tech, where customers generally pay directly for services, the indirect payer model in MedTech presents a substantial market risk for investors.

✅ Insights on Regulatory Risk Analysis

When evaluating a MedTech investment, understanding the unique risks is essential. Due diligence in this field follows a specific framework, especially since regulatory risks and failure modes are more complex and potentially devastating compared to traditional tech investing.

Clarifying the Investor's Role in Regulatory Analysis

As an investor, it's crucial to have a foundational understanding of regulatory risks. However, investors are not regulatory experts—similar to how venture capitalists may understand legal risks but are not lawyers.

Due to the dynamic nature of regulations, which vary by country and evolve frequently, it’s essential to have dedicated regulatory experts on the startup’s team. Investors typically expect the CEO or other team members to have prior regulatory experience, as familiarity with the approval process can help mitigate some of these risks.

Defining "Risk" and Common Failure Scenarios in MedTech

In the context of MedTech, risk can be defined as "failure mode"—scenarios where the company’s product or strategy could fail, often due to regulatory obstacles. Investors create risk models to assess these failure modes based on various potential pitfalls a startup may face. Here are some of the primary failure modes that frequently emerge in MedTech.

1. Regulatory Upgrades

One of the most challenging failure modes in MedTech is the risk of a regulatory upgrade. A startup might spend months or even years preparing a 510(k) application (a common regulatory submission for medical devices) with input from consultants and possibly feedback from regulatory bodies like the FDA.

However, during the review process, the regulatory body could decide that the device requires a higher level of scrutiny, such as a de novo classification, which demands more time and resources.

This upgrade can be a costly and time-intensive hurdle, as it may require a complete overhaul of clinical or bench testing, delaying the product’s market entry.

For example, a startup’s device can be reclassified from a 510(k) to a de novo application, requiring a significant increase in capital and time to meet the new requirements.

2. Application Rejections

Another common failure mode occurs when a regulatory body outright rejects a startup’s application, often without providing specific feedback.

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