Alchemist Accelerator: Influencer Series Fireside Chat

Quantum computing has been promising to change everything for decades. BlueQubit might be the company that finally makes that promise real.Hayk Tepanyan is the Co-Founder and CTO of BlueQubit, an Alchemist company built by Stanford computer scientists who left Google to solve one of the hardest problems in deep tech. Their mission is simple to say and incredibly hard to do: make quantum computing genuinely useful.In this episode, Ravi Belani, Founder and Chairman of Alchemist, sits down with Hayk to unpack a breakthrough that happened just months ago and what it actually means for the future of the technology.They get into:What BlueQubit's "scientific quantum advantage" actually is, and why it matters that it uses real world inputs rather than problems pre-designed for quantumHow BlueQubit solved in 2 hours a problem that would take the world's largest supercomputer years to crackThe two-stage roadmap from scientific quantum advantage to commercial quantum advantage, and why Hayk believes commercial is only 2 to 3 years awayWhy the quantum version of the ChatGPT moment will look completely different from what happened with AIHow quantum will affect billions of people indirectly, through new drugs, new materials, and better batteries, before most people even know it's happeningWhy quantum teleportation is already happening, just not at human scale yetWhat laser focus actually means as a founder, and why having ideas you choose not to pursue is a sign of discipline not distractionWhy scientists are the worst people to ask about 50-year predictionsThis is one of the most grounded and genuinely exciting quantum conversations we have had on this show. No hype, just a builder who is deep in the work and quietly changing what is possible.🔔 Subscribe for more Alchemist Influencer Series episodes 🌐 Learn more at alchemistaccelerator.com

What do synthetic neurobiology, an alcohol company sold out of a car, the Department of Energy, and a pesticide-killing RNA startup have in common? They're all stops on Nico Enriquez's path to becoming one of the most interesting VCs in deep tech.As a Principal at Future Ventures, the fund behind SpaceX, Tesla, and Commonwealth Fusion Systems, Nico backs founders solving the world's biggest problems with genuine technological breakthroughs. In this conversation with Ravi Belani, Chairman and Founder of Alchemist, he shares what that actually looks like in practice, why cheap energy is the foundation of everything, and why the most inspiring founder he knows spent 17 years building something nobody thought was possible.If you care about where the world is headed and who's funding the people trying to fix it, this one is for you.New episodes drop regularly. Follow the show so you never miss a chat.

Everyone is talking about quantum computing. Almost nobody actually understands it. Tommaso Demarie is going to change that.Tommaso is the Co-Founder and CEO of Entropica Labs, a company building the error correction infrastructure that sits at the very heart of making quantum computing actually work. He has a PhD in quantum information systems, nearly two decades in the field, and the rare ability to explain one of the most complex technologies in the world in a way that clicks.In this episode, Ravi Belani, Chairman and Founder of Alchemist (formerly CEO), sits down with Tommaso for a conversation that starts with the basics and ends somewhere you didn't expect.They get into:- What quantum computing actually is, explained in a way that finally makes sense.- Why some of the world's top researchers still don't believe it will ever be useful.- The 1940s computer parallel: why the killer app for quantum hasn't shown up yet, and why that's completely normal.- Whether quantum has its own version of Moore's Law (it does, and it's moving faster).- Why quantum error correction is the single biggest roadblock between where we are and where we need to be.- The "fault-tolerant chasm": what it is, why it matters, and what Entropica is doing to cross it.- Where the real opportunities are for founders building in quantum right now.- Why governments are still the primary buyers, and what that tells us about where the market is headed.- Why Tommaso is an optimist even when people push back on the dystopian case.Rigetti Computing went through Alchemist over a decade ago. It's now a multibillion dollar public company. Entropica might be next. This conversation is worth paying attention to.🔔 Subscribe for more Alchemist Influencer Series episodes 🌐 Learn more at alchemistaccelerator.com

What if everything you think you know about consciousness is wrong? And what if the machines we're building right now are about to prove it?Joscha Bach is the Executive Director of the California Institute for Machine Consciousness, and he might be the most interesting thinker you haven't heard of yet. With a master's in computer science and a PhD in cognitive science, and stints at MIT Media Lab and Harvard's Program for Evolutionary Dynamics, Joscha has spent his career asking the questions most researchers are too cautious to touch. Like whether machines can be conscious. Whether they already are. And whether that should terrify us or excite us.In this episode, Ravi Belani, CEO and Founder of Alchemist Accelerator, sits down with Joscha for one of the most mind-bending conversations we've ever had on this show.They get into:What consciousness actually is, and why most definitions get it wrongWhy coherence, not complexity, might be the key to understanding awarenessFree will: is it real, and does it mean what we think it means?Whether today's LLMs are conscious, and how we'd even know if they wereWhy machine consciousness shouldn't scare us, and why the alternative is far more depressingThe difference between a silicon golem that controls us and a substrate that genuinely carries life forwardWhy Joscha thinks we're living on the deck of the Titanic, and why that's not actually a bad thingUniversal basic intelligence: why it might matter more than universal basic incomeHis six-word closing thought that will genuinely stay with youThis is not a typical tech conversation. It's a philosophy lecture, a science discussion, and an existential gut check, all in under 25 minutes.🔔 Subscribe for more Alchemist Influencer Series episodes 🌐 Learn more at alchemistaccelerator.com

Hard tech is hard. Funding hard tech is even harder. Andrew Haughian has the answer, and it's not what you think.Andrew is a Partner at Pangaea Ventures, a hard tech focused VC fund with nearly 30 CVCs as limited partners. He's an engineer turned investor who has spent years sitting at the intersection of corporate innovation and early stage hard tech, working closely with companies like Aspect Biosystems, CarbonCure Technologies, Prime Roots, and others navigating the long, complex road from lab to market.In this episode, Ravi Belani, CEO and Founder of Alchemist Accelerator, digs into the playbook that separates fundable hard tech companies from glorified research projects, and why CVCs are more critical to hard tech than almost any other sector.They get into:Why hard tech founders absolutely need CVCs, and how to build those relationships the right wayThe real timeline for landing a CVC investment (hint: it's not months, it's years)How one founder is closing a CVC-led Series A, and exactly what they did differentlyWhat POs, LOIs, and MOUs actually signal to investors, and which ones are worth the paper they're written onThe "option value trap": why customer enthusiasm doesn't always mean skin in the gameHow to go from 1 customer to 10 to 100, and what great founders know about that path that others don'tWhy CVCs keep churning talent, and what the best ones are doing to fix itThe singles and doubles strategy for new CVCs trying to prove their value internallyThis one is for hard tech founders, CVC leaders, and anyone trying to understand how corporate innovation actually works from the inside out.🔔 Subscribe for more Alchemist Influencer Series episodes 🌐 Learn more at alchemistaccelerator.com

Most VCs will tell you to stay away from Corporate Venture Capital. Angelo Del Priore is here to tell you why they're wrong.Angelo is the Founding Managing Director of HP Tech Ventures, one of the most active CVCs in the game. He's led and followed investments in AI, edge compute, and the future of work, and he's sat on boards alongside companies that have exited to Google, Oracle, and Unity. Before all of that, he consulted for Apple, Cisco, Dell, Intel, Microsoft, and Sony, so he's seen this world from every angle.In this episode, Ravi Belani, CEO and Founder of Alchemist Accelerator, pushes back hard, and Angelo pushes back harder.They get into:Why CVC money can actually be smarter money than a traditional fundThe no-BS truth about when CVCs follow vs. when they leadHow having HP, Intel, or Samsung on your cap table signals something no pitch deck canWhy CVCs rarely take board seats, and why that's a bigger deal than founders realizeThe one mistake founders make that wastes everyone's time (free pilots)How great founders actually use their CVC investors vs. how most founders ghost themThe pre-seed warning: why bringing in a CVC too early can quietly kill youThis is not a CVC sales pitch. It's a real, honest debate between two people who've been on both sides of the table, and it'll change how you think about building your cap table.🔔 Subscribe for more Alchemist Influencer Series episodes 🌐 Learn more at alchemistaccelerator.com

Corporate venture capital has evolved.In this episode of the Influencer Series Fireside Chat, Ravi Belani sits down with Jay Eum, Founding Managing Director of GFT Ventures and one of the few investors who has helped build three venture initiatives, including Samsung Ventures and TransLink Capital.They explore how CVC has moved from slow, strategically entangled “dumb money” to independent, performance-driven CVC 3.0 models. Jay breaks down what makes corporate venture capital successful today, how reputation shapes access to deal flow, and why some CVCs create real strategic leverage while others struggle.They also dive into hard tech fundraising:• When founders should approach CVCs • Why proof of concept matters before engaging strategics • How to avoid getting burned in capital-intensive industries • Why reputation is everything in tight venture ecosystems • How to think about leverage when you only have a few possible partnersPlus, Jay shares his perspective on today’s AI revenue explosion and what founders should focus on during this unprecedented market cycle.If you’re a hard tech founder, enterprise startup, or emerging fund manager, this conversation is essential.

Enterprise AI startups don’t fail because the tech is weak. They fail because they sell the wrong way.In this episode of the Alchemist Influencer Series, Ravi Belani sits down with Gnani Palanikumar, former Head of Product at Apigee (acquired by Google for $725M) and chair of Alchemist’s GenAI track.Gnani shares a tactical, operator-level playbook for turning AI pilots into real enterprise adoption.They discuss:Why traditional enterprise org structures break AI deploymentsThe mismatch between 2-year AI cycles and 12-month buying cyclesWhy founders should sell at the department level, not enterprise-wideHow to find pre-approved budgets and avoid multi-stakeholder gridlockThe “4-week proof” tactic for voice AI in financial servicesWhy domain expertise and fractional operators matterHow to identify whether a company is AI-native or stuck in SaaS thinkingWhy AI projects must deliver value within a quarterGnani’s 5-word takeaway says it all:Lead with trust. Deliver proof.If you’re building enterprise AI, this episode is pure tactical insight.

Agentic AI is everywhere right now, but most teams are still struggling to price it, deploy it, and make it work in production.In this Fireside Chat, Ravi Belani sits down with Vibhor Rastogi, who leads AI investing at Citi Ventures, to unpack what’s actually happening inside enterprise AI adoption and what founders often get wrong.They dive into why pricing agentic software is still an unsolved problem, what’s genuinely overhyped in the “agent” wave, and how startups can build defensible AI businesses in a world of reskinned workflows and runaway costs.Topics covered include:Why seat-based, consumption-based, and outcome-based pricing all break in different waysHow CIOs think about predictability, guardrails, and runaway AI costsWhat investors really want to see from agentic AI startupsWhy many “agents” today are just rebranded APIs and workflowsThe importance of memory, learning, and real autonomy in agentic systemsHow founders can solve the data cold-start problem through design partnershipsWhy an “Agentic Ops” layer may be the missing piece for enterprise adoptionIf you’re building, investing in, or deploying agentic AI, this episode will help you separate signal from noise.

Enterprise AI isn’t failing because of the models.It’s failing because of data.In this episode of the Alchemist Accelerator Influencer Series, Ravi Belani sits down with Sidney Rabsatt, Chief Product Officer at MindsDB and former AI and infrastructure leader at Google Cloud, AnyScale, and F5 Networks.Sidney breaks down why connecting AI to enterprise data is far harder than most teams expect and where the real unlocks are hiding. From messy, fragmented data systems to the false promise of endless ETL projects, this conversation explores what it actually takes to get real value from AI inside organizations.You’ll learn:Why AI struggles when enterprise data is fragmentedThe hidden cost of traditional ETL and data clean-upHow AI can work directly on messy data without years of prepWhere startups can find real opportunities at the AI + data layerWhy focusing on the use case matters more than the technologyIf you’re building, deploying, or investing in enterprise AI, this episode will change how you think about data, workflows, and where real value is created.

Manjeet Singh lives where AI hype meets real enterprise reality. He is the Senior Director of Product Management at Salesforce AI and Agentforce, and previously led product teams at Iron Mountain and ServiceNow. He spends his days shipping AI products that millions of people actually use.In this episode, Manjeet sits down with Ravi Belani to talk about what is really working in enterprise AI adoption, and where a lot of teams are still stuck in POC land.They explore:The real state of enterprise AI and agentic adoption in 2025Why so many AI projects stall at proof of conceptWhere agents are already driving real KPIs, from software development to customer supportHow to tell if an AI opportunity is likely to deliver real ROI for an enterpriseWhy constrained, well defined workflows win firstVertical vs horizontal AI, and how to build more than “just an LLM wrapper”Why regulated and high cost of failure domains can be great markets for startupsThe missing “toolchain” for agents, from testing and evals to observability and tracingHow to think about moats, domain expertise, and speed in the AI platform eraWhy Manjeet is excited about the intersection of AI, healthcare, and preventative fitnessIf you are building, buying, or investing in enterprise AI, this conversation will give you a grounded view of what works, what does not, and where the next opportunities are likely to appear.

Marcelo Calbucci has been building tech for over 30 years. He’s a serial entrepreneur, multi patent holder, former engineering leader at Microsoft and Amazon, and someone known for having bold, contrarian takes on where AI is actually heading.In this episode, Marcelo sits down with Ravi Belani to challenge some of the biggest assumptions people have about AI right now.They dig into:• Why layoffs and job freezes might have nothing to do with AI • Why AI isn’t replacing software engineers anytime soon • Where AI is being massively overused • The areas where AI is actually underused and full of opportunity • Why founders need to stop outsourcing strategy to LLMs • How to use AI to disconfirm your ideas instead of chasing confirmation bias • Why the next big wave of opportunities may come from “multiplayer AI” • What roles AI is likely to replace, and which roles will remain essential • Why adaptability will matter more than anything else in the next decadeMarcelo also shares which startup opportunities he’d pursue today, how he thinks teams will collaborate with AI agents in the future, and the one piece of advice he’d give founders in 6 words: We’re entering the world of adaptability.If you want fresh, honest, and thought provoking perspectives on AI and the future of work, this conversation is a must watch.

Amr Awadallah has seen multiple waves of hype in tech and helped build real companies through it. He co founded Cloudera, took it public, watched it get acquired for 5.3 billion dollars, and is now building Vectara, a platform that helps enterprises ship AI apps that are accurate, safe and actually usable in production.In this episode, Amr joins Alchemist Accelerator founder and CEO Ravi Belani to unpack a striking finding from an MIT report. An estimated 95 percent of enterprise AI projects are failing.They dig into why that is happening and what to do differently:The real reasons enterprise AI fails in productionWhy “go do AI” from the board is not a strategyHow fake exploration budgets create fake success storiesThe 3 whys every founder and buyer should testWhy do anythingWhy nowWhy this vendorHow to tell a real business need from AI theaterWhy passion for the problem, not the tech, drives gritHow cofounders, early hires and investors make or break your companyWhat Vectara is building as an “operating system” for AI agentsWhy context, security, accuracy and cost control matter more than demosAmr also shares raw, founder level advice. From firing fast in the first 50 hires, to choosing investors who have actually been in the trenches, to his simple test for whether you really love the problem you are working on.If you care about building AI products that survive past the pilot stage, this conversation is a must listen.

Dr. Shelby Heinecke, Senior AI Researcher at Salesforce, joins Ravi Belani to explain why the future of AI will not belong only to giant models with hundreds of billions of parameters.Shelby makes the case for small language models: compact systems with only a few billion parameters that can run faster, cost less, protect privacy, and still perform at a very high level when they are trained well on focused tasks.In this episode, they dig into:Why small models are a different tool, not a weaker version of large modelsHow fine tuned small models can beat much larger models on specific agentic tasksWhere small models shine most: privacy, speed, cost to serve and on device use casesHow Salesforce built “Tiny Giant,” a 1B parameter model that outperforms much larger models on selected tasksWhat really matters in training: data quality, workflows and trajectory style datasetsHow synthetic data, noise and guardrails help make models more robust in the real worldWhy founders should look closely at on device AI and domain specific small modelsShelby also shares practical advice for founders who want to build in the small model space, and closes with a simple takeaway: do not underestimate small models.If you care about AI agents, privacy, edge computing or future startup opportunities, this conversation will give you a lot to think about.

Arjun Prakash, co founder and CEO of DistylAI, joins the Influencer Series to talk about one of the biggest shifts happening in tech right now. We all talk about generative AI, but Arjun breaks down the part that actually matters. Intelligence. Reasoning. And the rise of true AI assistants that can make decisions, take actions, and run workflows across a business.Arjun walks us through the three chapters of this story:What AI agents really are and why reasoning changes everything.How AI native companies will operate with far lower costs and far more speed.Why this shift will lead to a world where both massive companies and tiny startups can scale faster than ever.He also gives clear examples of what happens when companies embrace new technology and what happens when they ignore it. From Carnegie Steel to Borders, the winners are always the ones who lean in early.If you care about innovation, productivity, or the future of work, this episode will change how you see the next decade.

Yohei Nakajima is not your typical venture capitalist. He’s the Managing Partner at Untapped Capital and the creator of Baby AGI, the first open-source autonomous agent that helped kick off the AI agent movement.In this episode, Yohei joins Ravi Belani (CEO, Alchemist Accelerator) to unpack the rise of AI agents in the enterprise and why experimentation — not just strategy decks — is the real competitive edge.You'll learn:Why every business leader should be personally experimenting with AIHow AI agents are evolving from gimmick to game-changerWhat it takes to spot high-potential AI startups earlyWhy creativity, play, and community might be the keys to mastering this tech waveWhether you're a founder, builder, or innovation leader, this episode is a must-listen if you want to stay ahead in the age of agents.🎧 Tune in and let us know what you think: https://bit.ly/3H4XkiJ

As AI-powered copilots and agent tools reshape productivity, one question looms large: Will software engineers be replaced—or just evolve?In this thought-provoking episode of The Influencer Series, Roger Luo, Founding Partner of Embedding VC and former AI leader at Yahoo, Snap, and Niantic, joins host Ravi Belani to explore:Why today’s LLMs outperform average coders—but still can’t replace human creativityWhat tools like GitHub Copilot and Cursors really mean for engineering productivityThe untold challenges in orchestration, DevOps, and complianceHow the line between “human” and “agent” might soon blurWhy AGI won’t come from scaling LLMs alone—and what that means for the futureWhether you’re a founder, engineer, or AI strategist, this conversation offers a realistic and expansive look at the next era of work.📣 We’d love to hear your thoughts.Take 1 minute to complete our short feedback form: https://bit.ly/3H4XkiJ

What does it really take for international founders to succeed in the U.S.? In this episode, Laurent Rains, Managing Director at Alchemist Accelerator, joins host Ravi Belani to unpack the challenges and opportunities facing global startups today.You’ll learn:Why diversity is a competitive advantage — but only if it’s real.What international founders must unlearn when entering the U.S. market.How AI is reshaping outbound sales and founder workflows.Why Silicon Valley still holds the edge in global innovation.The nuanced role of governments in startup ecosystems around the world.Whether you're launching in a new market or scaling across borders, this episode is packed with sharp insights and global perspective.We’d love to know what you think!👉 Please take a minute to complete our short feedback form: https://bit.ly/3H4XkiJ

Most enterprise AI projects today are built on models that can recognize and generate patterns — but what happens when pattern recognition isn’t enough?In this episode of the Alchemist Influencer Series, Vin Sharma, CEO and Founder of Vijil (and former AWS, Intel, and HP exec), joins Ravi Belani to explore the deeper realities of AI adoption — especially in regulated industries like banking, legal, and insurance.Drawing from his time leading deep learning at AWS and studying the philosophy of technology, Vin shares why trust is the critical missing piece — and why AI systems must be reliable, secure, and safe before being deployed in mission-critical environments.You’ll learn:Why most LLM-based agents will hit failure modes in industries that matterHow society and regulation shape the future of AI — not just tech breakthroughsWhat “trustworthy AI” really means (and how to build for it)How Vin’s company Vijil is tackling this head-on with enterprise-ready agentsLessons from Amazon’s writing culture and how it shaped his startup playbookIf you care about the future of AI, safety, and real-world deployment, don’t miss this conversation.📣 We’d love your feedback! Please take a moment to fill out our short form:https://bit.ly/3H4XkiJ

In this episode, Garuda Ventures co-founder Rishi Taparia joins Alchemist Accelerator CEO Ravi Belani to explore why the promise of AI teammates often stalls in the real world. Drawing on his experience as a VC, operator, and startup builder, Rishi explains why psychological friction, status dynamics, and expectation mismatches are bigger barriers than the tech itself.You’ll learn:Why “AI teammates” are fundamentally different from tools—and why that mattersHow expectations vs. reality derails enterprise adoptionWhy status loss makes managers hesitant to deploy AI agentsWhat startups need to understand before selling AI into the enterpriseHow to build trust and credibility inside slow-moving organizationsIf you're building AI for the enterprise—or selling into it—this conversation will challenge your assumptions and give you a more grounded GTM strategy.We’d love to know what you think of the podcast!Please take 1 minute to complete our short feedback form:👉 https://bit.ly/3H4XkiJ

In this episode, Alchemist Partner and GenAI expert Gnani Palanikumar reveals how AI agents are reshaping real industries like healthcare, supply chain, and life insurance. From reducing data prep time by 80 percent to enabling faster decisions, AI teammates are starting to do the work humans don’t have time for.Gnani shares the mistakes founders keep making with GenAI and the exact process he uses to help startups build products customers are ready to buy.In this episode:- Why data scientists are stuck doing grunt work- Where AI teammates create real value today- The right way to validate startup ideas before building- How to secure early adopters without a finished product- Why customer interviews are powerfulIf you’re building in AI, healthcare, or any complex B2B market, this is the playbook you didn’t know you needed.We’d love your feedbackTake 60 seconds to let us know what you think: https://bit.ly/3H4XkiJ

Relying on a single AI model might be holding your team back.In this episode, Not Diamond co-founder and former VC Jeffrey Akiki joins Alchemist Accelerator CEO Ravi Belani to share why the smartest AI systems don’t depend on just one model or agent. They use a network of specialized agents, routed in real time for speed, cost, and performance.You’ll learn:Why “bigger” AI isn’t always betterHow model routing can outperform even top-tier LLMsWhy modularity and transparency matter for enterprise AIWhat startups can do to compete with the big playersHow Jeffrey’s VC background shaped his founder journeyWe’d love your feedback.Take 60 seconds to share your thoughts: https://bit.ly/3H4XkiJ

Ever wondered why most enterprise AI projects never make it past flashy demos into real-world applications? Manjeet Singh, Senior Director of Product Management at Salesforce, sits down with Alchemist Accelerator CEO Ravi Belani to uncover why so many companies get stuck—and what it truly takes to move AI from proof-of-concept to full-scale production.In this episode, you'll learn:Why even promising AI demos rarely reach productionThe key barriers companies face: accuracy, trust, and data securityEmerging opportunities for both startups and established enterprisesPractical frameworks and tools (like LangChain and LLaMA Index) you can use right nowManjeet also shares his perspective on AI "agents," intelligent assistants designed to tackle daily tasks, and why he's excited about the future intersection of AI with health and wellness.If you're serious about moving your AI beyond the lab, this conversation is for you.We would love to know what you think about our podcast. Please take a minute to complete our short feedback form: https://bit.ly/3H4XkiJ

What if AI doesn’t just disrupt industries, but rewrites the rules of work and value?In this thought-provoking Fireside Chat, Ben Parr, Co-Founder of OctaneAI and Partner at TheoryForge Ventures, joins Ravi Belani to explore how automation is already reshaping hiring, productivity, and opportunity and why the real tipping point is closer than we think.Ben shares his vision for a future where AI either empowers people or leaves them behind, depending on the choices we make now. From universal basic income to AI agents that pay you to work for them, this episode dives into the intersection of policy, innovation, and what it takes to build meaningful AI startups in 2025.We would love to know what you think about our podcast. Please take a minute to complete our short feedback form: https://bit.ly/3H4XkiJ

Can a corporate venture arm operate with full financial independence and still deliver strategic value?In this episode of the Alchemist Accelerator Influencer Series, host Ravi Belani sits down with Jason Sydow, Partner at Next47, to explore how corporate venture capital (CVC) firms can successfully balance financial returns with corporate alignment or choose to focus on one without sacrificing value.Jason walks through the transformation of Next47 from Siemens’ legacy CVC into a fully financially-driven fund with a billion-euro mandate, while still leveraging deep relationships to support portfolio startups through their go-to-market team. From structuring investment decisions to navigating internal trust and strategic veto rights, Jason shares lessons any CVC leader should hear.🎧 Whether you're running a CVC, building one, or trying to partner with one this episode is packed with insight.We’d love to know what you think about our podcast. Please complete our short feedback form: https://bit.ly/3H4Xk

How do we keep groundbreaking deep tech startups alive past Series B? In this episode, Ravi Belani talks with Tom Gwinn, Investment Manager at Evonik Venture Capital, about why so many promising deep tech startups struggle to get enough funding and how corporate venture capital can help close that gap.Tom shares practical ideas on how CVCs can pool resources, share risks, and provide patient capital for breakthroughs in climate tech, quantum computing, biotech, and more. Expect real talk on what works, what doesn’t, and what needs to change.We would love to know what you think about our podcast. Please take a minute to complete our short feedback form: https://bit.ly/3H4XkiJ

In this compelling episode of Alchemist Accelerator’s Influencer Series Fireside Chat Podcast, Ravi Belani sits down with Kristian Marquez, Founder & CEO of FinStrat Management, for a wide-ranging conversation that traverses the future of standalone software, the resurgence of U.S. manufacturing, AI in robotics, and the global implications of demographic decline.Kristian shares his unique perspective at the intersection of finance, innovation, and geopolitical strategy, offering insights highly relevant to founders, investors, and corporate innovators navigating today’s rapidly shifting landscape.Click to learn more about FinStrat Management: https://bit.ly/44IB4FiThank you to our Sponsors for making the Alchemist Accelerator’s Influencer Series possible. Notable Partners include: 1. BASF Venture Capital: https://bit.ly/3ZqFw842. FinStrat Management: https://bit.ly/3YTAlNO3. WilmerHale: https://bit.ly/45iAGgSWe would love to know what you think about our podcast, please complete our short feedback form: https://bit.ly/3H4XkiJIf you would like to plug in as a mentor, investor, customer or other role, email Ravi or let him know here: https://bit.ly/44JPlSd