The Genius Scale Podcast

In this episode of The Genius Scale Podcast, we sit down with Jan Meinicke, co-founder of 9x, to unpack what “AI-first operations” actually looks like inside B2B scale-ups. Jan shares how 9x evolved from an automation agency into an AI enablement company focused on training business teams to build their own no-code and AI workflows.

They cover why upskilling teams can outperform outsourcing automation, the three capability areas needed to get real value from AI (domain expertise, an experimental mindset, and core technical understanding), and a practical framework for prioritizing workflows using time and frequency. The conversation also touches on where human-in-the-loop still matters and how leaders can approach AI adoption and reskilling with clarity.

Community cancer centers treat 80% of American cancer patients but have up to 30% higher mortality rates than academic institutions. Kingsley Ndoh watched his aunt suffer through a late-stage colorectal cancer misdiagnosis in Nigeria, then discovered this disparity stems from resource constraints: community oncologists carry three times the workload with limited access to cutting-edge research and clinical trial results that academic centers implement immediately.

His solution: Hurone AI, a digital oncologist achieving 50% workload reduction and 95% protocol compliance. While competitors focus on diagnostics, Kingsley tackles the treatment decision gap with voice-activated data retrieval, real-time guideline updates, and treatment options backed by references. From piloting in Rwanda with Kinyarwanda language support to FDA approval for UCSF and Johns Hopkins, Kingsley reveals why international datasets reduce AI bias and how value-based care models are accelerating adoption of clinical decision support systems.

Key Topics

• Why community cancer centers have 30% higher mortality despite treating 80% of patients
• Building a digital oncologist with voice activation and real-time guidelines
• Engineering out hallucinations using AWS Bedrock with feedback loops
• FDA 510K approval for clinical decision support systems
• Rwanda pilot with Kinyarwanda language before US rollout
• Why international data diversity reduces AI bias in treatment
• Value-based care shifting from fee-for-service to quality metrics

Chapters

• 00:00 From Nigeria to Silicon Valley: The Personal Story Behind Hurone AI
• 04:32 The 30% Mortality Gap Between Cancer Center Types
• 09:24 Building the Digital Oncologist: Treatment Decisions vs Diagnostics
• 13:28 Engineering Out Hallucinations with AWS Bedrock
• 15:26 Navigating FDA Approval and Healthcare Regulation
• 18:00 UCSF Green Tumor Center: Piloting with Brain Cancer
• 23:53 President's Cancer Panel and Technology Policy
• 29:44 Global Testing: Rwanda Pilot and Multilingual Expansion
• 34:00 International Data Standards and Bias Reduction
• 38:00 The Ethics of AI in Healthcare: Why Symbiosis is Non-Negotiable

Keywords: Hurone AI, oncology, clinical decision support, cancer care disparity, AI healthcare, FDA approval, value-based care, precision oncology, medical AI, global health equity

How do you achieve 99% human action recognition using just a smartphone camera? Hafsa Tahir went from her first international flight to founding Agit in Silicon Valley—launching with a simple API before building complex models, then pivoting five times based on user feedback.

The breakthrough: a livestream feature where one coach trains 1,000 people simultaneously while AI tracks every participant's form in real-time. Hafsa reveals how she turned a mentor's rejection ("this tech can never happen") into investment capital, why she shifted from solo coding to leading teams across two continents, and the immigrant mentality of working 80 hours to beat the 40-hour standard.

Key Topics

• 99% accuracy in human action recognition using only smartphone cameras
• Launching with simple API to validate demand before building custom models
• Real-time form tracking for 1,000-participant livestream fitness classes
• Converting mentor rejection into investor capital through execution
• The "small project test" for vetting co-founders before committing
• Targeting "leader" investors who enable follower capital to close faster
• B2C strategy: fitness influencers as distribution channels
• Why human connection still matters despite cutting-edge AI technology
• Three-task daily prioritization for founder sustainability

Chapters

00:00 Introduction to Agit and the 99% Accuracy Achievement

03:01 Building Custom Models vs Starting with APIs

05:56 Leadership Evolution: From Software Engineer to CEO

08:57 Immigrant Advantage in Silicon Valley

11:57 Networking and Traction Before Fundraising

15:07 Finding Leader Investors First

17:58 The Small Project Test for Co-Founders

20:57 1,000-Person Livestream with Real-Time AI Tracking

23:57 Five Pivots Driven by User Feedback

27:12 Balancing AI Technology with Human Connection

29:49 Targeting Fitness Influencers for Network Effects

Keywords: AI fitness, human action recognition, startup pivots, immigrant founder, Silicon Valley, fundraising strategy, livestream fitness, product-market fit, user feedback

What if everything cybersecurity does is backwards? Shubham Khichi discovered two zero-day vulnerabilities worth $100K each by applying WWII "Inversion Theory"—the counterintuitive strategy of fortifying where planes DIDN'T get shot. His radical thesis: while 99.99% of cybersecurity companies fragment teams across millions of tools and expensive cloud solutions, the real breakthrough comes from inverting every assumption about how security should work.

Khichi's CyberAGI platform runs "extremely local" with zero cloud callbacks, unlimited testing for flat rates, and architecture-driven threat modeling that maps what could actually destroy your organization. From bootstrapped beginnings to multi-billion dollar ambitions, discover how one founder's contrarian approach to offensive security is revolutionizing an entire industry—one inversion at a time.

Key Topics

• Zero-day discovery masterclass: How one client engagement uncovered $200K worth of vendor vulnerabilities
• Full-stack offensive security: Why pen testers and defensive teams never talk (but should)
• Inversion Theory from WWII planes: Fortify where attacks DON'T hit, not where they do
• The fragmentation crisis: Teams scattered across "millions of tools" with zero collaboration
• Local-first revolution: "We are not cloud-based. We are extremely local"—everything on your infrastructure
• Bootstrapped efficiency: How AWS horror stories drove the anti-cloud architecture decision
• Architecture-driven threat modeling: Upload diagrams, get security-focused rebuilds with vulnerabilities highlighted
• Tabletop exercise automation: One-click DND-style attack simulations for cross-team preparedness
• RunPod GPU partnership: Solving scalability without compromising privacy or breaking budgets
• Conference-first sales strategy: Why founder-led marketing beats "used car salesman" LinkedIn tactics
• The MSP distribution play: Early design partners in Dallas shaping product-market fit

Chapters

• 00:01 Introduction to CyberAGI and the Full-Stack Vision
• 00:44 Building Unified Platforms from Fragmented Cybersecurity Teams
• 01:53 Understanding Full Stack and Offensive Security Fundamentals
• 05:07 Inversion Theory: WWII Strategy Applied to Cybersecurity Architecture
• 07:15 The Platform Ecosystem: Making Cybersecurity Tools Communicate
• 10:02 Targeting Small Businesses with Enterprise-Grade Protection
• 12:27 Breaking the Price and Privacy Barriers in Cybersecurity
• 13:31 Local Infrastructure vs. Cloud: The Anti-AWS Strategy
• 17:08 GPU Scalability and RunPod Partnership for Resource Management
• 19:11 Excalibur Platform: Autonomous Scanning and Attack Landscape Mapping
• 21:06 Growth Through MSP Partnerships and Distribution Channels
• 25:00 The Zero-Day Discovery Story: Customer Experiment That Changed Everything
• 28:27 Conference-First Sales: Why Founder-Led Marketing Works
• 31:42 Building Human Connection in an AI-Fragmented World
• 34:57 Multi-Billion Dollar Vision: Beautiful Products That Work Together
• 39:39 Creating Your Own Luck Through Hard Work and Mastery
• 42:25 Future Modules: 100% Coverage Penetration Testing and Live Financial Reporting
• 47:30 Final Advice: Using AI as Leverage, Not Replacement

Keywords: Cybersecurity, AI, Offensive Security, Full Stack, Threat Modeling, CyberAGI, Excalibur, Inversion Theory, Platform Unification, Human Connection, Local Infrastructure, SMB Security

Bad actors are weaponizing AI faster than businesses can secure it. Mike May, CEO of Mountain Theory and 25-year cybersecurity veteran (17 M&A deals in one year), drops hard truths about the 72% of companies already using AI without protection—and reveals his "separation of powers" framework that's keeping Fortune 500s alive. While everyone's rushing to deploy AI, May exposes the ByteDance intern attack that cost "tens of millions" and why your anomaly detection is probably useless against agentic AI attacks. With quantum computing about to shred current encryption "like tissue paper" and AI already passing Turing tests, this isn't just compliance—it's survival.

May breaks down how multi-model separation prevents catastrophic single points of failure, why nation-state actors are already inside your systems (you just don't know it), and what businesses must do RIGHT NOW before autonomous AI attackers eliminate the human element entirely. His business partner invented 2FA and helped implement FBI fingerprinting—they're not messing around.

Key Topics

• 72% of companies using AI without security (293M companies globally)
• ByteDance intern attack: How one malicious algorithm cost "tens of millions"
• Why current anomaly detection fails against agentic AI that "hits roadblocks and keeps going"
• Nation-state vs hacktivist attacks: The invisible data siphoning you'll never detect
• Multi-model separation: Stop putting "all your eggs in one basket"
• Quantum + AI convergence: "Leave that there" moment that changes everything
• AI-to-AI attacks through JIPR protocols without human intervention
• SOC 2, NIST, GDPR compliance gaps in AI-first companies
• $4K budget can now build agentic AI—including for bad actors

Chapters

• 00:00 Introduction to AI Security and Separation of Powers
• 02:00 Understanding the Separation of Powers Framework
• 04:28 Integrating AI Security into Business Models
• 07:12 Anomaly Detection in AI Systems
• 09:36 The Role of AI in Cybersecurity
• 11:57 The Future of AI and Cybersecurity
• 14:33 The Impact of AI on Business Operations
• 17:03 The Importance of Security Certifications
• 19:36 Separation of Concerns in AI Development
• 21:57 Unique Vulnerabilities in AI Systems
• 23:54 Educating the Public on AI and Cybersecurity
• 26:02 The Future Landscape of AI and Quantum Computing

Keywords: AI security, separation of powers, anomaly detection, cybersecurity, agentic AI, business operations, AI regulations, quantum computing, trust in AI, AI vulnerabilities

In this episode, we sit down with Vikram Kanda—Chief Medical Officer of Vue Health—an independent healthcare agency who is finding rare disease patients that Big Pharma agencies completely miss. While traditional agencies take 12-18 months to launch campaigns, Vue Health executes in 90 days, using targeted outreach that has diagnosed patients in underserved Spanish-speaking communities within weeks.

Vik shares how his team discovered that certain regions weren't diagnosing specific rare diseases—not due to genetics, but because of poor communication strategies. Through real examples from Boston's biotech scene, he explains how Vue Health's approach to pharmaceutical marketing directly saves lives by connecting the right patients with life-changing treatments at the right time.

Key Topics

• Vue Health's senior-first strategy vs. traditional agency junior account management

• Proprietary AI technology for instant team assembly and campaign optimization

• Why geographic diagnosis gaps aren't genetic—they're communication failures

• The death of pharmaceutical dinner programs and innovative peer-to-peer alternatives

• Adult learning principles applied to medical education and marketing

• Regulatory navigation and FDA compliance in pharmaceutical advertising

• Omni-channel marketing strategies for rare diseases and gene therapy

• Building collaborative team culture in healthcare marketing agencies

• AI integration in medical communications while maintaining human oversight

• A patient-centered approach that bridges communication gaps between doctors and families

  
  

  Chapters

• 00:00 – Vue Health's Founding Story and Mission

• 05:07 – Senior-First Strategy vs Traditional Agency Models

• 11:39 – Real-World Case Study: Diagnosing Rare Disease Patients

• 18:00 – Building Collaborative Team Culture in Healthcare Marketing

• 23:19 – Bridging Communication Gaps Between Patients and Physicians

• 29:00 – AI Innovation and Proprietary Technology Development

• 34:43 – Leadership Wisdom and Final Thoughts

  
  

  Keywords: Pharmaceutical marketing, healthcare, digital marketing, patient education, AI in healthcare, marketing strategies, team culture, medical communications, innovative approaches,

In this episode, we sit down with Pat Utz—co-founder of Abstract and Forbes 30 Under 30 entrepreneur—who's building the most comprehensive regulatory monitoring system ever created. While most companies react to regulatory changes after they hit, Abstract's AI monitors 140,000+ government entities twice daily, from federal agencies to special districts, helping Fortune 500 companies and top law firms stay ahead of policy shifts that could reshape entire industries.

Pat reveals how his team's cold-calling 200+ potential clients led to breakthrough insights about proactive risk management, and why "infinite intelligence" through AI will fundamentally disrupt white-collar analyst work. With unprecedented regulatory change from the current administration creating the "most amount of change we've seen in decades," Abstract's platform becomes critical infrastructure for navigating policy chaos. From tariff implications to executive orders, this conversation explores how AI can process millions of regulatory data points to predict business impact before it happens.

Key Topics

• Regulatory intelligence at scale: Monitoring 140,000+ government entities daily
• $9M+ funding journey from college research project to enterprise platform
• Proactive vs reactive compliance: Moving beyond traditional legal tech
• Three critical impact vectors: Product, labor, and taxation disruption
• Current political climate driving unprecedented regulatory velocity
• "Infinite intelligence" concept and the future of analyst-level work
• AI workflow automation replacing manual document review processes
• Citation-based AI systems for legal and regulatory accuracy
• Enterprise customization for law firms and Fortune 500 companies
• Government data chaos: Structuring millions of changes across inconsistent websites
• Entry-level disruption in white-collar professional services
• Context-driven AI deployment for specific regulatory workflows

Chapters

00:00 Introduction to Abstract and Pat Utz

03:38 The Journey of Building Abstract

09:12 Understanding the Regulatory Landscape

14:50 The Role of AI in Compliance and Risk Management

20:52 Navigating Change in a Dynamic Environment

26:45 The Future of Work and AI's Impact

Keywords: AI regulation, legal tech, government transparency, regulatory compliance, policy monitoring, startup funding, workflow automation, enterprise AI, legal intelligence, risk management, government affairs, regulatory change

In this episode, we sit down with Petros Topouzis—serial entrepreneur, JobPiloteer CEO, and co-founder of Jubile Tech Incubator —who delivers the most controversial economic predictions you'll hear this year. While traditional job searches take 4.2 months, JobPiloteer's AI agents apply to 100+ jobs daily, landing candidates at Microsoft, Google, and Amazon. But this conversation goes far beyond job applications.

Petros argues that 80% workforce displacement is inevitable within decades, requiring radical economic restructuring to prevent civil unrest. He proposes zero corporate taxes for job-creating startups under $5M revenue, 50% dividend taxes to force reinvestment, and massive capital gains taxes to stop wealth hoarding. From fusion energy economics to multi-planetary expansion, this is strategic intelligence for leaders navigating capitalism's biggest transformation since industrialisation .

Key Topics

• AI workforce displacement and the 4.2-month job search crisis
• Radical tax restructuring: 0% corporate tax for startups, 50% dividend tax
• Why real estate speculation is destroying entrepreneurship
• Government grant programs replacing traditional VC models
• Unlimited fusion energy as civilization's next phase transition
• Corporate feudalism vs. federal social programs
• Multi-planetary expansion as economic necessity
• BRICS currency threats and America's strategic technology focus
• Automation economics: from $15K monthly AI costs to human replacement
• Psychological crisis of human purpose in automated society

Chapters

• 00:00 – Introduction to Petros Topouzis and JobPiloteer
• 01:09 – The Journey to JobPiloteer
• 03:16 – The Vision Behind JobPiloteer
• 06:49 – The Future of Work and AI
• 10:07 – Navigating the Transition to AI
• 15:49 – Geopolitical Implications of AI and UBI
• 25:19 – The Decline of American Manufacturing
• 27:26 – Real Estate and Economic Inequality
• 29:58 – Healthcare Waste and Economic Responsibility
• 32:42 – Empowering Small Businesses
• 35:58 – Taxation and Economic Growth
• 39:12 – The Future of Work and AI
• 42:28 – Government Support for Startups
• 44:53 – The Evolution of Venture Capital
• 55:35 – Exploring Humanity's Future and AI
• 59:16 – The Quest for Free Energy and Its Implications
• 01:03:05 – Theories of Human Origin and Extraterrestrial Influence
• 01:07:03 – The Nature of the Universe and Cosmic Theories
• 01:11:00 – The Duality of Humanity's Future: Pessimism vs Optimism

Keywords: AI automation, economic policy, taxation reform, entrepreneurship, venture capital, fusion energy, workforce displacement, startup funding, government policy, future of work, space exploration, economic inequality

Amniscient's founder Suresh Yalamanchili explains how his team slashed computer-vision training from a million pictures to as few as two—while hitting 99.9 % accuracy. If you work in retail self-checkout, industrial QA, or robotics, this is the next big leap after large-language models.

What You’ll Hear

• Why too much data can wreck a vision model• How Amnition’s AR capture + auto-label pipeline works

• 4-step workflow to deploy a model in days, not months• Ethics litmus test: “Would you tell your mom about it?”

• The future: Vision AI, embodied agents & rock-solid privacy

Timestamps / Chapters

00:00 Mic check & intro – meet Suresh

01:04 What is Amnition? Solving CV model pain points

02:49 Real deployments: self-checkout & weld inspection

03:20 Two-image build & the 99.9 % promise

05:57 When GPUs “run home to mama”: data-overload failures

09:57 Founding story – from smart leasing offices to CV engine

12:51 Variety • Variation • Quality vs. Noise

15:03 The 4-step workflow (catalog → AR capture → ML build → API)

20:14 Legacy CV needs 1 M images—here’s the workaround

27:33 Generative AI from real pixels, not CGI

30:03 Vision AI meets robotics & embodied agents

32:45 “Tell-your-mom” ethics and privacy safeguards

38:26 Assistive vision for K-12 & accessibility

41:03 Startup boom déjà vu (dot-com parallels)

45:30 Free trials & final takeaways

Quotable Moments

• “Sometimes excess data is a detriment to the AI model.” — Suresh

• “It runs home to mama when it’s scared.” — on inference overload

• “Would you tell your mom about it? If not, don’t do it.” — AI-ethics rule

Keywords

computer vision, Amniscient, Amnisphere, AI startup, object recognition, data labeling, synthetic data, industrial automation, self-checkout AI, robotics vision, edge AI, 99.9 accuracy, two-image training, AI ethics, Joe Cervino Podcast

In this conversation, Dr. Rachel StClair, co-founder and CEO of Simuli, discusses the groundbreaking technology of hyperdimensional computing and its implications for artificial intelligence (AI) and cybersecurity. She explains how this new mathematical approach can lead to more efficient data processing and storage, ultimately paving the way for advancements in artificial general intelligence (AGI). The discussion also touches on the challenges posed by quantum computing, the importance of team dynamics in innovation, and the role of biomimicry in developing smarter computing systems. Dr. StClair emphasizes the need for a long-term vision in technology development and the potential impact of their work on various industries.

Chapters:

00:00 – Introduction to Hyperdimensional Computing

01:47 – Understanding Hyperdimensional Computing

04:56 – Efficiency and Cost-Effectiveness in AI

09:19 – Future Plans and Innovations at Simuli

13:40 – Cybersecurity and Quantum Computing Challenges

18:39 – Bridging the Gap to Quantum Computing

22:28 – Learning from Nature and Technology

27:33 – Holographic Computing Explained

31:36 – Leading Disruptive Technology

35:19 – Target Clients and Applications

Takeaways:

• Hyperdimensional computing is a new mathematical approach to data representation.

• Simuli aims to develop AGI technology that transcends human limitations.

• The efficiency of hyperdimensional computing can lead to significant cost savings in AI processing.

• Current AI technologies face challenges in power consumption and data handling.

• Simuli's technology is designed to work on existing hardware while paving the way for future innovations.

• Cybersecurity is a major focus, with data agnostic lossless compression enhancing security.

• Quantum computing poses both challenges and opportunities for data encryption.

• Holographic principles are applied in hyperdimensional computing for data efficiency.

• Biomimicry is a key inspiration for developing smarter computing systems.

• Team dynamics and collaboration are crucial for driving innovation in technology.

Sound Bites:

"We're not trying to recreate a brain in a computer."

"We can reconstruct the whole data from just a part."

"This is a long-term company focused on the future."

Keywords:Hyperdimensional Computing, AI, Cybersecurity, Quantum Computing, Data Efficiency, Simulai, AGI, Technology Innovation, Neural Networks, Biomimicry