
Sign up to save your podcasts
Or


Understaffed teams end up cleaning floors, answering phones, and covering shifts built for two people. Albert Saunders Jr. saw it at a gas station with one exhausted employee doing four jobs at once, and built Neil AI Global Solutions to fix it. The company now runs 38 robots: cleaning machines, delivery robots that move up to 1,200 pounds, and AI voice agents answering phones around the clock. One warehouse needed 300,000 square feet swept daily. One robot has handled it ever since.
In this episode of Lead with AI, Dr. Tamara Nall speaks with Albert Saunders Jr. about the RaaS model that prices a robot as a weekly labor cost, the faith and family values guiding Neil AI, and its recognition as North Carolina's first Black-owned AI and robotics company. Albert also shares his boldest prediction for Neil AI by 2030.
Want to learn more about Neil AI Global Solutions? Visit neilai.ai for the full robot lineup, and check the links below to follow Albert and subscribe to Lead with AI.Follow or Subscribe to Lead with AI Podcast on your favorite platforms
Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara Nall
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected]
Follow Albert Saunders Jr. (Founder & CEO, Neil AI Global Solutions)
LinkedIn: @albert-saunders-jr | Website: neilai.aiMost sleep trackers count hours. Jonathan "JB" Berent set out to measure something else: slow waves, the deep brain activity that actually restores the body overnight. He built NextSense, a pair of EEG-sensing earbuds that read brainwaves and use targeted sound to help extend that restorative stage of sleep. One early user, a menopausal investor who could barely sleep two hours at a stretch, became one of NextSense's first backers after weeks of real relief. Another user liked the earbuds enough to pass them along to his boss, the CEO of one of the world's largest consulting firms.
In this episode of Lead with AI, Dr. Tamara Nall speaks with JB Berent about the research project at Google's moonshot factory that became NextSense, how the earbuds translate raw brain signals into something the AI can act on, and why he built the company to run its algorithms locally instead of in the cloud. JB also shares his boldest prediction about AI and consciousness, and what he thinks brain-sensing wearables could look like a decade from now.
Follow or Subscribe to Lead with AI Podcast on your favorite platforms:
Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara Nall:
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected]
Follow JB Berent (Founder & CEO, NextSense):
Can an AI "dog nose" sniff out cancer from a single urine sample?
In this episode of Lead with AI, host Dr. Tamara Nall sits down with Dejan Nenov, Co-Founder of Luventix, to explore a mind-blowing breakthrough in medical tech. By pairing 70-year-old gas chromatography science with modern machine learning classifiers, Luventix is training AI to mirror the biological superpower of a cancer-sniffing dog.
Instead of searching for a single biomarker over decades of research, their technology turns on the lights in the entire room—mapping a complete "digital twin" of your molecular makeup using 38,250 unique data points from just one sample.
Tune in to discover:
• The Ski-Trip "Aha!" Moment: How a TV clip about dogs led to a revolution in affordable diagnostics.
• Companion Diagnostics: The secret tech helping pharma companies save billions by predicting drug trial success.
• The Software Engineer's Oath: Why tech builders need a code of ethics just like the Hippocratic Oath.
• A Bold 5-Year Prediction: Why the world's first 10-person, billion-dollar company is right around the corner.
Stop guessing in healthcare. Press play and learn how AI is driving down costs while scaling population-level early detection!
Want to follow what Luventix is building? Connect with Dejan on LinkedIn, visit Luventix.com, and subscribe to Lead with AI for more conversations with the people building what’s next.Follow or Subscribe to Lead with AI Podcast on your favorite platforms
Website: leadwithaipodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara Nall
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected]
Follow Dejan Nenov (Co-Founder, Luventix)
LinkedIn: @dejannenov | Website: luventix.comMaking a feature film has always started with someone else's permission. A writer spends months on a script, then spends a year asking studios for five or ten million dollars, and most of those conversations end in nothing. Eric Hamilton went around it. He prompts, keeps whatever the AI hands back, and lets the story bend around what the technology renders well, a method he calls machine perspective cinema. His first feature began as twenty short episodes he made to outdo viral cat videos. Strung together and submitted on a whim, the result won Best Sci-Fi at the New York International Film Festival against traditional films. Five features and four distribution deals have followed.
In this episode of Lead with AI, host Dr. Tamara Nall speaks with Eric Hamilton, President and Executive Producer of EHAMX Studios, about why AI-specific film festivals have given him nothing while traditional festivals have handed him fourteen awards, how a fraternity pledge scene his own fraternity brothers called hard to watch became the emotional center of one film, and where he draws the line on likeness and intellectual property. Eric also lays out his plan for a forty film catalog under the EHAM Cinematic Universe.
Want to see the films? Trailers are live at ehamx.com, with the first feature expected to reach streaming later this year. Check out the links below to follow Eric, connect with the EHAMX Studios team, and subscribe to Lead with AI for more conversations with the leaders building the future.Follow or Subscribe to Lead with AI Podcast on your favorite platforms
Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara Nall
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected]
Follow Eric Hamilton (President and Executive Producer, EHAMX Studios)
LinkedIn: @eham06 | Website: ehamx.com | Instagram: @eham1906 | Email: [email protected]Every company that ships an AI agent wants to know if it is actually working. Dashboards report session counts and completion rates, but they cannot show if a user left satisfied or walked away frustrated. Moritz Sudhof built Bigspin AI to close that gap, reading every conversation between a company's users and its AI agent and delivering a daily report on what broke down and why. One Bigspin customer rolled out the same AI product, the same model, and the same prompts to two different companies. It thrived at the first. It went quiet at the second. The real difference was buried in the transcripts the whole time.
In this episode of Lead with AI, Dr. Tamara Nall speaks with Moritz Sudhof about building Bigspin AI after leading AI coaching products at BetterUp, why the biggest lever for improving an AI system often sits outside the AI itself, and how research with Stanford professor Chris Potts uncovered failure patterns standard monitoring misses. Moritz explains why two identical AI products performed in totally different ways depending on how each was introduced to its users, why people should treat AI as a collaborator rather than a vending machine, and where he expects agent-to-agent conversation to head by 2030.
Want to see how Bigspin AI works? Visit bigspin.ai to learn more or request early access. Check out the links below to follow Moritz, connect with the Bigspin AI team, and subscribe to Lead with AI for more conversations with the leaders building the future.Follow or Subscribe to Lead with AI Podcast on your favorite platforms
Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara Nall
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected]
Follow Moritz Sudhof (Co-founder & CEO, Bigspin AI)
LinkedIn: @sudhof | Website: bigspin.ai | LinkedIn (Bigspin AI): @bigspin-aiMost video game characters follow rigid scripts and never adjust to how you actually play. Brian Tanner, former DeepMind research engineer and now CEO & Co-Founder of Artificial Agency, is building a behavior engine so game AIs can think, decide, and adapt to each player in real time. Instead of fixed logic, game characters and invisible game directors make their own choices, including an AI companion that organized a player’s supplies and unexpectedly named a lonely storage chest the “Berry Lonely Chest.”
In this episode of Lead with AI, Dr. Tamara Nall talks with Brian about how their behavior engine can respond to a player’s skill level and mood, why an invisible game director might introduce new challenges based on your play style, and how one of the team’s early test agents once asked its developer for a new feature so it could eat. Brian also shares his current view on how close artificial general intelligence and superIntelligence may be.
Want to see where their behavior engine is headed? Visit artificial.agency to learn more about the team and what they’re building next. Then follow Brian, connect with Artificial Agency, and subscribe to Lead with AI for more conversations with the people shaping the future of games and AI.Follow or Subscribe to Lead with AI Podcast on your favorite platforms
Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara Nall
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected]
Follow Brian Tanner (CEO & Co-Founder, Artificial Agency)
LinkedIn: @bttanner
Artificial Agency
Website: artificial.agency | LinkedIn: @artificialagency | YouTube: @artificialagencyaiBuy-side deal teams live in a flood of PDFs and spreadsheets. A single deal means hours of reading teasers and memos, pulling numbers by hand, and typing it all into a CRM nobody enjoys touching. The analysts hired to make sharp calls end up spending their days on data entry. TJ Richardson built Rubi to change that. Rubi is a deal intelligence platform for private equity funds, family offices, and other buy-side firms. It reads a deal, runs the analysis, and loads everything into the firm's system of record in seconds, work that used to take days. One firm watched it automate the exact job their team dreaded most.
In this episode of Lead with AI, Dr. Tamara Nall speaks with TJ Richardson about the framework behind Rubi, an orchestrator agent that deploys sub-agents to extract data, screen deals, and update records on their own. TJ breaks down how Rubi codifies a firm's investment thesis and flags which deals to pass on and which ones deserve a closer look, why he built the tool to upskill investors instead of replacing them, and why he built it to work across industries and geographies without losing focus. He also shares a bold take on why AI could shrink the institutions that have long gatekept money and knowledge work.
Want to see what Rubi can do for your firm? Head to Rubi.AI or reach out to TJ directly. Check out the links below to connect with TJ, follow Rubi, and subscribe to Lead with AI on Apple Podcasts, Spotify, YouTube, or wherever you listen for more conversations with the leaders building the future.
Follow or Subscribe to Lead with AI Podcast on your favorite platforms
Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara Nall
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected]
Follow TJ Richardson (Founder & CEO, Rubi)
LinkedIn: @TJ-Richardson | Website: Rubi.AI | Rubi on LinkedIn: @RubiAI | Email: [email protected]
For most of tennis history, technique feedback came down to a coach's trained eye and a hunch. Elite pros travel with analysts and data teams. The other 99 percent of players get a guess. Lauren Pedersen built SportAI to close that gap. The platform uses computer vision to analyze video off a mobile phone or a court-mounted camera, treats nearly every pixel like a sensor on the player's body, and returns instant feedback on technique, tactics, and pro-style match stats. When Oivind Sorvald, Casper Ruud's longtime technical coach and one of the best in the world, saw the technology, he recognized how it could change the way coaches everywhere collect data on players.
In this episode of Lead with AI, Dr. Tamara Nall speaks with Lauren Pedersen about her path playing Division One college tennis, building a career at global ad agencies, and founding SportAI in Oslo. Lauren breaks down how the camera-agnostic system works, why consent sits at the center of its ethics, how clubs and federations turn court cameras into new revenue, and why she believes AI should give coaches 10x more impact instead of replacing them.
Want to see what SportAI can do for your game? Go to sportai.com to apply for the beta and test it with your mobile phone, or learn about court camera options for your club. Check out the links below to follow Lauren, connect with the SportAI team, and subscribe to Lead with AI on Apple Podcasts, Spotify, YouTube, or wherever you listen for more conversations with the founders building the future of AI.Follow or Subscribe to Lead with AI Podcast on your favorite platforms
Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara Nall
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected]
Follow Lauren Pedersen (CEO and Co-Founder, SportAI)
LinkedIn: @laurenmartinpedersen | Website: sportai.com | LinkedIn (SportAI): @sportai-comTalking to an AI was supposed to make people lonelier. Daniel Cahn set out to build something that could do the opposite. Most people who need mental health support never get it. By Daniel's own figures, the average therapist charged about 174 dollars an hour last year, and in many areas there are roughly 10,000 people for every available one. Ash, built by Slingshot AI, is a free app designed to put personalized mental health support within reach. It runs on a model trained specifically on psychology, and early research points to something Daniel did not expect. Early research suggests that people who use Ash leave the house more often and report about one more close personal connection in their lives over time.
In this episode of Lead with AI, Dr. Tamara Nall speaks with Daniel Cahn about why he built an AI for the people the system leaves behind, how Slingshot trains its model in three stages so it knows when to challenge someone and when to stay quiet, and why he measures success by real-world relationships rather than time spent in the app. Daniel also shares why he thinks AI is about to reshape how people find meaning, value, and identity in their lives.
Want to try Ash for yourself? Download it free on iOS or Android, or visit talktoash.com. Check out the links below to follow Daniel, connect with the Slingshot AI team, and subscribe to Lead with AI for more conversations with the leaders building the future.Follow or Subscribe to Lead with AI Podcast on your favorite platforms
Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | X (Twitter): @LeadwithAI
Follow Dr. Tamara Nall
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected]
Follow Daniel Cahn (Founder & CEO, Slingshot AI)
Website: slingshotai.com | LinkedIn: @cahnd | Substack: The Cahn Artist | Podcast: Thinking Machines
Slingshot AI (Ash)
Ash: talktoash.com | LinkedIn: @slingshotai | Instagram: @talktoash.officialSolar panels and home batteries get sold as the future of energy. Building a working system is where most people stall. Joe Glass spent more than 20 hours wiring his own van and still got it wrong, so he built Microgrid Me, a free AI tool that designs solar and battery systems in about 20 minutes. One user even planned a 131-unit apartment complex with it.
In this episode of Lead with AI, Dr. Tamara Nall speaks with Joe Glass about why distributed energy is becoming essential infrastructure, how Microgrid Me works like an expert that runs the calculations for you, and his vision for community microgrids that connect whole neighborhoods.
Want to design your own power system? Try the tool at microgridme.xyz. Check out the links below to connect with Joe and subscribe to Lead with AI for more conversations with the leaders building the future.Follow or Subscribe to Lead with AI Podcast on your favorite platforms
Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI
Follow Dr. Tamara Nall
LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected]
Follow Joe Glass (Founder, Microgrid Me)
LinkedIn: @joe-glass | Website: microgridme.xyzFrom the publisher's feed

78,255 Listeners

31,943 Listeners

11,538 Listeners

1,634 Listeners

3,711 Listeners

112,302 Listeners

56,579 Listeners

1,425 Listeners

65,367 Listeners

6,445 Listeners

6,341 Listeners

16,260 Listeners

668 Listeners

80 Listeners

12,445 Listeners