The Tesoro AI Podcast

In this episode of the Tesoro AI podcast, we sit with Christina Kosmowski, LogicMonitor CEO. Christina shares her extensive experience and insights into the intersection of AI, data centers, and digital transformation. She discusses her career journey from leadership roles at Salesforce, Slack, and now Logic Monitor, highlighting the significant inflection points in cloud computing and AI advancement she witnessed. She delves into the importance of data centers in the AI ecosystem, the role of Logic Monitor in optimizing data center performance, and the challenges and strategies around cost, performance, and sustainability. Christina also touches on the transformative power of AI agents, the importance of customer-centric innovation, and Logic Monitor's future plans, including their recent $800 million funding round. The episode offers a comprehensive look at how AI and data centers are reshaping the digital landscape and the strategic role of IT operations in this evolution.    If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.   Founder Bio:   As CEO of LogicMonitor, Christina is responsible for accelerating the company’s hypergrowth and delivering on its brand promise of helping C-level executives and their teams thrive through transformation. Prior to assuming the role of CEO, Christina served as LogicMonitor’s President, leading go-to-market strategy, R&D, customer success and operations. She has spent over two decades holding leadership positions in the enterprise software space and is passionate about discovering new ways to bring the worlds of technology and business together.  Christina came to LogicMonitor from Slack, where she spent four years building and leading Customer Success and Enterprise GTM Teams. Christina also spent 15 years at Salesforce, where she oversaw functions including renewals, consulting, support and customer success. In both of these roles, she helped guide her respective organizations through pivots, disruptions and rapid periods of growth, while also being a pioneer of the Customer Success practice.   Outside of LogicMonitor, Christina serves on the board of Rapid7 (NASDAQ: RPD) and is a founding partner of Operator Collective, an organization that brings together tech’s most sought-after operators, investors, and founders from diverse backgrounds to invest in and accelerate the next generation of b2b tech.   Time Stamps:   00:37 Christina's Career Journey 04:10 The Role of Data Centers in AI 07:53 Logic Monitor's Value Proposition 10:50 Challenges and Solutions in Data Centers 15:12 AI Integration and Future Prospects 21:22 Logic Monitor's Integration and AI Capabilities 25:24 Transforming IT Operations with LogicMonitor's 27:35 Customer-Centric Innovations 30:18 Early Stages of AI Integration 33:41 Upskilling in the Age of AI 36:39 Managing AI Agents 40:37 Focusing on Core AI Use Cases 43:34 Customer Feedback and Community Engagement 45:33 Exciting Announcements and Future Plans   Resources   Follow Darius Gant LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ Company Website - www.tesoroai.com     Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n   Subscribe on Apple Podcast: https://podcasts.apple.com/ae/podcast/the-darius-gant-show/id1527996104   Company website: https://www.logicmonitor.com/ LinkedIn: https://www.linkedin.com/company/logicmonitor/  Twitter (X): https://x.com/LogicMonitor

In this episode of the Tesoro AI podcast, host Darius Gant interviews Sarah Nagy, founder of Seek. They discuss Sarah's journey from astrophysics and finance to founding an AI-driven data analytics startup. Sarah explains Seek's mission to simplify data accessibility and analysis using large language models (LLMs). With her extensive background in quantitative finance and data science, Sarah sheds light on the nuances of alternative data, the challenges of dealing with unstructured data, and the importance of a robust data engineering team. The conversation also covers the evolution of AI agents, the critical role of data documentation, and Seek's flat fee business model. Sarah shares insights on effective data management practices and the significance of UI/UX in developing AI products. The episode concludes with Sarah's thoughts on the future of AI and an announcement about Seek's participation in the NRF conference.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com [http://www.tesoroai.com]). We are experts in AI strategy, staff augmentation, and AI product development.     Founder Bio:   Sarah Nagy is a former quant who currently serves as Founder & CEO of Seek AI, a leading startup that provides organizations with a natural language interface for data, empowering anyone in a business to ask questions and receive data-driven insights fast. Sarah most recently led the consumer data team at Citadel's Ashler Capital. Prior to joining Citadel, Sarah led enterprise data product development at two startups, Edison and Predata, which both exited. Sarah started her career as a quant at ITG developing algorithmic trading strategies. Sarah has a Master in Finance degree from Princeton and dual Bachelor's degrees in Astrophysics and Business Economics from UCLA.   Time Stamps:   00:34 Sarah's Background in Finance and Astrophysics 03:12 Identifying Pain Points in Data Science 05:11 Founding Seq and Leveraging AI 08:45 Current State of Seq's Product 09:45 Data Governance and Access Control 13:16 Use Cases in Consumer Packaged Goods 15:43 Best Practices for Data Readiness 20:59 Importance of Prompt Engineering 24:31 Choosing the Best Business Model for Seek 27:43 Identifying Typical Users of Seek 29:08 Differentiating Seek from ChatGPT 31:58 Building vs. Buying AI Solutions 38:53 Conversations with Investors 41:37 Future of AI and Generative AI 44:21 Upcoming Events and Final Thoughts   Resources Company website: https://www.seek.ai/ [https://www.seek.ai/] LinkedIn: https://www.linkedin.com/company/seekai/ [https://www.linkedin.com/company/seekai/] https://www.linkedin.com/in/sarah-nagy/ [https://www.linkedin.com/in/sarah-nagy/] Twitter: https://x.com/ai_seek [https://x.com/ai_seek] https://x.com/sarahrnagy [https://x.com/sarahrnagy]

In this episode of the Tesoro AI podcast, host Darius Gant talks with Chris from Enso Data about how artificial intelligence is transforming sleep medicine. Chris delves into his career journey from engineering to healthcare, the founding of Enso Data, and how the startup uses AI to improve diagnosis and treatment of sleep apnea. They discuss the evolution of Enso Data's technology, from its early days at the University of Wisconsin to its current impact on the sleep care pathway. Chris also highlights the challenges and benefits of integrating AI into healthcare, the importance of data security, and the future of sleep diagnostics. The episode concludes with insights into the company's growth, funding journey, and an invitation for new talent to join their mission.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com [http://www.tesoroai.com]). We are experts in AI strategy, staff augmentation, and AI product development.   Founder Bio:   Chris Fernandez is the co-founder and Chief Research Officer of EnsoData, a medical software company pioneering the field of Waveform AI. EnsoData’s first product, EnsoSleep, is an FDA-cleared SaaS that aids in the diagnosis of sleep apnea for both in-lab and at-home tests. Cleared in 2024, EnsoSleep PPG expands the same diagnostic capabilities to FDA cleared pulse oximeters. Under the combined leadership of Fernandez and co-founders Sam Rusk and Nick Glattard, EnsoData has grown to more than 50 full time employees, raised over $30,000,000 in venture capital funding from top VCs, obtained one of the first FDA clearances of AI/ML software in all of healthcare, and collaborated to release more than 30 AI research publications to push the science of sleep forward.   Chris Fernandez’s work has earned him and EnsoData various recognitions, including being named to the 2021 Forbes 30 Under 30 in Healthcare list, the Inc. Best Places to Work list for the third year in a row (one of only three Wisconsin companies to make the list in 2023), the Wisconsin Innovation Award in Healthcare, and the InBusiness 40 Under 40 list, among other acknowledgment   Time Stamps:   00:33 Chris's Career Journey and Enso Data's Origin 06:10 Transforming Sleep Care with AI 11:26 Understanding How Esodata Works with Data 14:24 Challenges and ROI in AI for Sleep Diagnostics 17:06 Future of AI in Sleep Diagnostics and Broader Implications 21:00 EnsoData's Impact on Sleep Apnea 25:58 EnsoData's Interface for Clinicians 28:02 Data Privacy and Security in Healthcare 30:58 Building and Training AI Models 34:00 Choosing the Right AI Team 35:36 Challenges in AI Development 37:36 Probabilistic Outcomes and Improving Accuracy 39:47 Fundraising Journey and Market Shifts 43:11 Future of Sleep Apnea Treatment and EnsoData's Vision   Resources Company website: https://www.ensodata.com/ [https://www.ensodata.com/] LinkedIn: https://www.linkedin.com/company/ensodata/ [https://www.linkedin.com/company/ensodata/] Facebook: https://www.facebook.com/ensodata [https://www.facebook.com/ensodata] Twitter: https://twitter.com/ensodata [https://twitter.com/ensodata]

In this episode of the Tesoro AI podcast, host Darius Gant interviews Zvonimir Sabljic 'Z', the founder of Pythagora, an AI-based tool that automates coding tasks and helps build applications from scratch. Z discusses his career journey, starting with a collaborative whiteboard startup that was eventually acquired by Miro. The conversation then shifts to Pythagora, the motivations behind focusing on AI, and how the technology evolved from generating HTML/CSS to creating entire applications from user specifications. The episode also covers the transition from traditional coding to AI-driven solutions, the benefits of such innovations, and insights from Z's experience with Y Combinator. Z highlights how Pythagora is cutting down on development time significantly and empowering individuals and companies to innovate rapidly without extensive coding knowledge.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com [http://www.tesoroai.com]). We are experts in AI strategy, staff augmentation, and AI product development.   Founder Bio:   Zvonimir is an engineer and technology entrepreneur with a Master's degree from the Faculty of Electrical Engineering and Computing (FER). He founded AWW (A Web Whiteboard), which became a significant player in the online whiteboard market. Under his leadership, AWW grew to serve 1.5 million monthly active users, with Apple being its largest customer. In 2021, AWW was acquired by Miro (formerly known as Realtimeboard). He is continuously exploring new opportunities to bring cutting-edge solutions to market and is currently focused on building Pythagora.   Time Stamps:   00:36 Zvonimir Introduction and Early Ventures 05:40 Pythagora: From Concept to Product 10:32 Test-Driven Development and Pythagora's Evolution 14:45 ROI and Business Impact of Pythagora 17:21 Critical decisions to Discuss with a Company 19:19 AI in Code Generation and Future Prospects 23:49 Pythagoras’s Automated Documentation 25:17 AI vs. Human Coders: A Comparative Analysis 29:53 The Role of AI in Enhancing Creativity 33:38 Pythagora's Feedback Loop for Code Development 35:48 Market Strategy and Adoption 40:48 The Impact of YC on Pythagora 43:02 Fundraising Experiences and Investor Insights 46:16 The Future of AI and Pythagora's Vision 48:06 whats coming new for Pythagora in 2025   Resources Company website: https://www.pythagora.ai/ [https://www.pythagora.ai/] LinkedIn: https://www.linkedin.com/company/pythagora-gpt-pilot/ [https://www.linkedin.com/company/pythagora-gpt-pilot/] YouTube: https://www.youtube.com/@pythagoraa [https://www.youtube.com/@pythagoraa] Twitter: https://x.com/PythagoraAI [https://x.com/PythagoraAI] Follow Darius Gant LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ [https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/] Company Website - www.tesoroai.com [http://www.tesoroai.com]

In this episode of the Tesoro AI podcast, we speak with Hunter Brooks, co-founder and CEO of Ellipsis. We discuss Hunter's journey from a self-taught developer with a background in astrophysics to creating an AI-driven code review tool. Hunter elaborates on his professional experiences at companies like Capital One and Amazon, where he gained exposure to machine learning and AI. We delve into the capabilities of Ellipsis, how it revolutionizes the code review process by leveraging state-of-the-art large language models (LLMs) to ensure code quality and efficiency. Hunter shares insights into the transition from traditional coding methods to AI-assisted development, emphasizing the importance of integrating AI to improve productivity without replacing human oversight. The discussion also covers the challenges and advantages of launching an AI startup, including valuable advice from their experience with Y Combinator and the role of VC funding in the crowded AI DevTools space. The episode provides a comprehensive look at how AI can optimize software development, the future of coding, and practical steps for teams and individuals to adopt these advanced tools.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com [http://www.tesoroai.com]). We are experts in AI strategy, staff augmentation, and AI product development.   Founder Bio:   Hunter Brooks is a versatile professional who transitioned from astrophysics to software engineering. Before co-founding Ellipsis, he gained experience at Amazon Web Services (AWS), where he honed his technical expertise. He also contributed to the field of cosmology through research and publications.   Time Stamps:   00:33 Hunter's Background and Career Journey 04:03 Early Challenges with AI and Code Generation 05:26 The State of AI in Code Writing 09:06 Introduction to Ellipsis 12:01 How Ellipsis Enhances Code Review 15:46 Team Code Review Process 19:34 Personalization and Efficiency in Code Review 24:04 Starting an AI Platform as a Startup 26:12 What Ellipsis Does to Go Beyond Basic Code Review 28:19 Empowering Developers with Advanced Tools 29:52 Getting Started with Ellipsis 31:30 Addressing Security Concerns 34:12 Building a Technical Team 38:38 Fundraising in the AI Space 43:07 Future Developments and Features   Resources   Company website: https://www.ellipsis.dev/ LinkedIn: https://www.linkedin.com/company/ellipsis-dev/ [https://www.linkedin.com/company/ellipsis-dev/] Twitter: https://twitter.com/tomtA_aihttps://twitter.com/ellipsis_dev