Everywhere Ventures

•

Canal • 5 programas

Emprendimiento

Emprendimiento

Cada semana
Economía y empresa

Economía y empresa

01/05/2025
Tecnología

Tecnología

Cada dos semanas
Emprendimiento

Emprendimiento

Cada semana
Economía y empresa

Economía y empresa

15 ene

22/09/2025

Drag, Drop, and Deploy: Rethinking How We Build AI Systems

In this episode of Inference Time Tactics, Rob, Cooper, Byron, and Dave share product updates for Neurometric’s Inference Time Compute Studio and what they reveal about the shift from single models to full AI systems. They discuss why wiring models together at scale is so challenging, how a drag-and-drop interface can make experimenting with inference strategies easier, and why open source, benchmarking, and community feedback are key to building the next generation of composable AI systems. We talked about: Why AI is shifting from single models to full systems and what that means for builders. The challenges of wiring multiple models together at scale and running them in production. How Neurometric’s drag-and-drop interface simplifies testing inference strategies without code. Why open-source models are becoming increasingly competitive with commercial solutions. The lack of standardization in AI stacks and why the industry still feels like the “early web” era. How inference-time compute can balance performance, cost, and latency across different tasks. Why benchmarks alone are insufficient and how domain-specific evaluations can fill the gap. The role of community feedback in shaping priorities for benchmarks and new primitives. Connect with Neurometric: Website: https://www.neurometric.ai/ Substack: https://neurometric.substack.com/ X: https://x.com/neurometric/ Bluesky: https://bsky.app/profile/neurometric.bsky.social Hosts: Rob May https://x.com/robmay https://www.linkedin.com/in/robmay Calvin Cooper https://x.com/cooper_nyc_ https://www.linkedin.com/in/coopernyc Guest/s: Byron Galbraith https://x.com/bgalbraith https://www.linkedin.com/in/byrongalbraith Dave Rauchwerk https://x.com/elevenarms https://www.linkedin.com/in/dave-rauchwerk-0ba82822

22/09/2025

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20 min
17 mar

The Great Scape: Helle Jeppsson with Matthew Brimer

Helle Jeppsson, co-founder and CEO of SCAPE, chats with Matthew Brimer, co-founder of Everywhere Ventures In episode 111 of Venture Everywhere, the host is Matthew Brimer, co-founder of Everywhere Ventures and co-founder of ZZ Driggs, a furniture and design company serving the real estate and hospitality industry. He talks with Helle Jeppsson, co-founder and CEO of SCAPE, a wellness tech platform delivering on-demand spa services across Latin America. Helle shares her path from opening physical spas in the U.S. and Mexico to building an alternative after COVID exposed how hard it is to make brick-and-mortar wellness scale. She discusses how SCAPE pivoted from a B2C consumer brand into a white-label spa product for hotels and businesses, converting a traditional loss-center amenity into a profit center for properties that can't justify the overhead of a full spa operation. In this episode, you will hear: Building on-demand wellness infrastructure across Latin America. Pivoting from B2C to B2B after spotting organic demand from the hotel industry.Using consumer brand recognition to break into corporate wellness. Creating better work conditions and higher earnings for women therapists in Latin America. Learn more about Helle Jeppsson | SCAPE LinkedIn: https://www.linkedin.com/in/hellejeppsson Website: https://scape.mx/ Learn more about Michael Barone | ZZ Driggs | Everywhere VC Linkedin: https://www.linkedin.com/in/mobrimer Website: https://zzdriggs.com/ Website: https://everywhere.vc/

17 mar

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28 min
26/08/2025

Listen Up with Auditive: Daniel Faddoul with Alberto Escarlate

Episode 86 of Venture Everywhere features host Alberto Escarlate, co-founder and CTO of Tough Day, an AI platform that provides confidential, personalized guidance to employees and managers to navigate complex workplace challenges. Alberto talks with Daniel Faddoul, founder and CEO of Auditive — a third-party risk management platform bringing continuous monitoring to buyer-seller relationships. Daniel shares his journey from finance and data science into entrepreneurship, and how those experiences shaped Auditive’s mission. He also discusses how Auditive is moving beyond static, check-the-box security reviews to real-time, trust-driven engagement that helps organizations in industries like finance, healthcare, and education manage third-party risk more effectively. In this episode, you will hear: Replacing static risk questionnaires with continuous, real-time monitoringApplying AI to bridge compliance frameworks and remove blind spotsDriving transparency in regulated industries like finance, healthcare, and educationEmbedding empathy and relationships into risk management practices Learn more about Daniel Faddoul | Auditive LinkedIn: https://www.linkedin.com/in/danielfaddoul/ Website: https://auditive.io/ Learn more about Alberto Escarlate | Tough Day Linkedin: https://www.linkedin.com/in/albertoescarlate/ Website;https://www.tough.day/

26/08/2025

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26 min
10 feb

Riding the Wave: Helaine Knapp with Pau Sabria

In episode 106 of Venture Everywhere, Pau Sabria, co-founder of Remotely.works—a platform helping companies hire software engineers in Latin America—talks with Helaine Knapp, founder and former CEO of CityRow, a rowing fitness franchise that was acquired. Helaine reflects on how her career in tech startups at Buddy Media and Olapic gave her the foundation to build a brick-and-mortar fitness business. She discusses writing Making Waves, using brutal honesty to tell the entrepreneurial story most founders won’t share, and navigating the in-between as host of Step Into Next, a podcast about walking together from what was to what’s next. In this episode, you will hear: Adapting startup playbooks to the physical fitness business modelInsights into the rise and fall of Connected Fitness, and lessons learnedThe power of honest storytelling during a company’s challenging exitThe real challenges of entrepreneurship: navigating legal battles and team dynamicsReimagining success and personal growth while transitioning between ventures Learn more about Helaine Knapp | CITYROW LinkedIn: https://www.linkedin.com/in/helaine-knapp Website: www.helaineknapp.com Learn more about Pau Sabria | Remotely.works Linkedin: https://www.linkedin.com/in/pausabria Website: https://www.remotely.works/

10 feb

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25 min
22/12/2025

Lessons from the Leading Edge: What 420 AI Deployments Reveal About Enterprise Success

In this episode of Inference Time Tactics, Rob, Cooper, and Byron sit down with Shawn Rogers, CEO of BARC US to unpack fresh data from 421 organizations actively deploying AI in production. Shawn shares what separates the 20% of AI leaders from everyone else, why cost surprises are hitting harder than expected, and how the pressure to "just do AI" is causing companies to skip critical foundations—often to their detriment. We talked about: Why multi-model strategies and small language models are becoming essential for enterprise AI. The seven foundational areas that help AI leaders deploy twice as many projects as everyone else. Why 51% of deployments face unexpected cost overruns—and which expenses hit hardest. Data quality jumping to the #1 challenge, affecting 44% of production deployments. The IT satisfaction paradox: top resource at the start, lowest satisfaction scores at scale. How responsible AI priorities shifted as human-in-the-loop dropped from 36% to 21%. Resources Mentioned: Lessons from the Leading Edge: Successful Delivery of AI/GenAI https://barc.com/research/successful-ai-genai-delivery/ Connect with BARC: Website: https://barc.com/ LinkedIn (Shawn Rogers): https://www.linkedin.com/in/shawnrogers/ Connect with Neurometric: Website: https://www.neurometric.ai/ Substack: https://neurometric.substack.com/ X: https://x.com/neurometric/ Bluesky: https://bsky.app/profile/neurometric.bsky.social Hosts: Rob May https://x.com/robmay https://www.linkedin.com/in/robmay Calvin Cooper https://x.com/cooper_nyc_ https://www.linkedin.com/in/coopernyc Byron Galbraith https://x.com/bgalbraith https://www.linkedin.com/in/byrongalbraith

22/12/2025

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44 min
30/09/2025

From MIT Decoding Research to Today’s Inference Tradeoffs

Check out the latest episode of Inference Time Tactics. Our guest is Pawan Deshpande, founder, product leader, and angel investor in companies like Anthropic and Toast, with roles at Google, Scale AI and Domino Data Lab. Hosts Rob May & Calvin Cooper sit down with Pawan to cover: Early MIT NLP research applied to today’s inference-time tradeoffs How to evaluate enterprise agents in practice Training data plus inference filtering in real deployments Open source adoption realities in the enterprise Where durable value lives in the stack Connect with Pawan Deshpande Website: https://pawandeshpande.com/ Academic / Research Works & Thesis Decoding Algorithms for Complex Natural Language Tasks (MIT thesis, 2007) Randomized Decoding for Selection-and-Ordering Problems Connect with Neurometric: Website: https://www.neurometric.ai/ Substack: https://neurometric.substack.com/ X: https://x.com/neurometric/ Bluesky: https://bsky.app/profile/neurometric.bsky.social Hosts: Rob May https://x.com/robmay https://www.linkedin.com/in/robmay Calvin Cooper https://x.com/cooper_nyc_ https://www.linkedin.com/in/coopernyc

30/09/2025

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31 min
27 ene

Ground Rules: Kat Garcia with Scott Hartley

In episode 104 of Venture Everywhere, Scott Hartley, co-founder and managing partner at Everywhere Ventures, talks with Kat Garcia, co-founder and co-CEO of Ground, a startup building the AI revenue system for autonomous revenue generation and retention. Kat shares how she left BCG Digital Ventures to work for free with B2C companies, uncovering that operators didn't need more productivity tools—they needed technology that could autonomously generate revenue on their behalf. She discusses how Ground's AI ontology transforms static metrics into actions that drive up to 10% more top-line revenue, moving companies from dashboards to agentic commerce. In this episode, you will hear: Unlocking unrealized revenue potential in fragmented tech stacks.Autonomous revenue generation beyond productivity tools.Real-time commerce ontology that learns and acts.Proving autonomous systems in high-churn e-commerce.Democratizing enterprise capabilities for mid-size brands. Learn more about Kat Garcia | Ground LinkedIn: https://www.linkedin.com/in/kat-garcia-online/ Website: https://joinground.com/ Podcast: https://open.spotify.com/show/4zuhbqKwF34X0wqDXa1Lsx?si=91da32c586844f1a Learn more about Scott Hartley | Everywhere Ventures Linkedin: https://www.linkedin.com/in/scotthartley/ Website: https://everywhere.vc

27 ene

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38 min
6 may

Super Human Skill: Storytelling

We tell ourselves the future belongs to whoever can code the fastest, analyze the most data, and automate the most tasks. But what if the real advantage in the age of AI isn’t technical at all—it’s the ability to make a room feel something? In this episode of Tough Day, KVJ sits down with Joe Lazer, award-winning content strategist, CMO at Pepper, and author of Super Skill, to make the case that storytelling isn’t a soft skill on the margins—it’s the foundational human capability that makes every other skill work better. Joe has spent his career at the intersection of journalism, marketing, and AI—and when ChatGPT hit its tipping point, he went looking for what human skills would actually survive. What he found: humans don’t just want good content, they want to know it came from another person. In this conversation, he breaks down his RENT framework for making storytelling stick, why the “AI won’t replace you” maxim points leaders in the wrong direction, and how one employee story will always outperform a deck full of data. What we cover: Why humans are wired to reject stories they know came from a machine, even good onesThe RENT framework: the four elements that make a story stick in your audience’s mindWhy scoring employees on AI usage is leading companies in exactly the wrong directionHow the most effective storytellers use AI Learn more about Joe Lazer: Website: https://joelazer.com LinkedIn: https://www.linkedin.com/in/joe-lazer Book (Super Skill): https://joelazer.com/superskill Substack: https://storytellingedge.substack.com Podcast: https://storytellingedge.substack.com/podcast Learn more about KVJ | Tough Day Website: https://tough.day/ LinkedIn: linkedin.com/in/kvonjan Hosted on Acast. See acast.com/privacy for more information.

6 may

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51 min
14/01/2025

Building a Stable ABA Workforce

In this episode of The Flychain Reaction, we tackle one of the biggest challenges faced by ABA therapy providers: high staff turnover. Simone Deverall, Head of Growth at Flychain, leads a discussion with Gabriella Davila and Nicole Stewart, Co-founders of Supervision Reimagined, and Ethan Schwarzbach, CEO and Co-founder of Flychain. Join us as Flychain and Supervision Reimagined share a two-pronged approach to reducing staff turnover and boosting staff engagement. We’ll explore how financial stability and a positive work climate go hand-in-hand—and provide actionable strategies to reduce turnover and support your team. 🎯 What you’ll learn: Key drivers of staff turnover in ABA organizations. Why financial security is essential for retaining and supporting your team. How Flychain’s financial toolkit helps meet financial commitments and minimize turnover. Best practices for building and maintaining a dedicated, engaged, and well-trained workforce. This is your opportunity to align your staffing and financial vision for 2025! Download a FREE RBT Staff Skills Assessment: https://www.flychain.us/building-a-stable-aba-workforce-free-download Read the full article here: https://www.flychain.us/resources/podcast-building-a-stable-aba-workforce Connect with Flychain: LinkedIn (Simone Deverall): https://www.linkedin.com/in/simone-deverall-44815414a/ LinkedIn (Ethan Schwarzbach): https://www.linkedin.com/in/ethan-schwarzbach-baa09571/ Website (Flychain): https://www.flychain.us/ Email: info@flychain.us Connect with Supervision Reimagined: Website (Supervision Reimagined): ⁠https://www.supervisionreimagined.com/ LinkedIn (Nicole Stewart): https://www.linkedin.com/in/nicolestewartbcba/ Email Nicole Stewart at nicolestewartbcba@gmail.com LinkedIn (Gabriella Davila): https://www.linkedin.com/in/gabriella-davila/ Email Gabriella Davila at gabrielladavilabcba@gmail.com

14/01/2025

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52 min
05/11/2025

Benchmarking Generalization: How AI Learns Beyond Training Data

In this episode of Inference Time Tactics, Rob and Cooper from Neurometric sit down with Yash Sharma, an AI researcher whose work is reshaping how we understand model generalization. Yash recently completed his PhD at the Max Planck Institute for Intelligent Systems and has held research roles at Google Brain, Meta AI, Amazon, Borealis AI, and IBM Research. His studies on compositional generalization, adversarial robustness, and long-tail benchmarks reveal when and why models succeed—or fail—at reasoning beyond their training data. If you’re designing inference-time systems, building agents that need reliability, or just want to understand what “generalization” actually means in practice, this conversation bridges deep theory with actionable insight—clear, technical, and strategically grounded. Key Topics What it really means for AI systems to generalize beyond their training data Why large language models still fail in novel or unpredictable scenarios How inference-time compute can both amplify and reveal generalization limits What these limits mean for building reliable, agentic AI systems How to benchmark generalization in real-world settings Yash’s “Let It Wag!” benchmark for testing long-tail and under-represented concepts Why genuine scientific breakthroughs (like curing cancer) require more than scaling test-time compute Connect with Yash Sharma: Yash Sharma Let It Wag! Benchmark Paper: Pretraining Frequency Predicts Compositional Generalization of CLIP (NeurIPS 2024 Workshop) Connect with Neurometric: Website: https://www.neurometric.ai/ Substack: https://neurometric.substack.com/ X: https://x.com/neurometric/ Bluesky: https://bsky.app/profile/neurometric.bsky.social Rob May https://x.com/robmay https://www.linkedin.com/in/robmay Calvin Cooper https://x.com/cooper_nyc_ https://www.linkedin.com/in/coopernyc

05/11/2025

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37 min

Our podcasts bring together founders, innovators, and industry leaders who share real stories, practical insights, and strategies for growth. From building startups and navigating healthcare business challenges to strengthening communities and tackling workplace issues, each show is designed to spark ideas and inspire action. Whether you’re an entrepreneur, professional, or changemaker, you’ll find conversations that help you learn, grow, and thrive.

Everywhere Ventures

Top programas

Drag, Drop, and Deploy: Rethinking How We Build AI Systems

The Great Scape: Helle Jeppsson with Matthew Brimer

Listen Up with Auditive: Daniel Faddoul with Alberto Escarlate

Riding the Wave: Helaine Knapp with Pau Sabria

Lessons from the Leading Edge: What 420 AI Deployments Reveal About Enterprise Success

From MIT Decoding Research to Today’s Inference Tradeoffs

Ground Rules: Kat Garcia with Scott Hartley

Super Human Skill: Storytelling

Building a Stable ABA Workforce

Benchmarking Generalization: How AI Learns Beyond Training Data

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Everywhere Ventures

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