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). 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/

LinkedIn: https://www.linkedin.com/company/seekai/

https://www.linkedin.com/in/sarah-nagy/

Twitter: https://x.com/ai_seek

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). 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/

LinkedIn: https://www.linkedin.com/company/ensodata/

Facebook: https://www.facebook.com/ensodata

Twitter: 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). 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/

LinkedIn: https://www.linkedin.com/company/pythagora-gpt-pilot/

YouTube: https://www.youtube.com/@pythagoraa

Twitter: https://x.com/PythagoraAI

Follow Darius Gant

LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/

Company Website - 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). 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/

Twitter: https://twitter.com/ellipsis_dev

In this episode of the Tesoro AI podcast, host Darius Gant converses with Steven Atneosen , a seasoned serial entrepreneur and executive with a diverse background in law, corporate strategy, and technology. Steven shares his career trajectory from a fascination with automobiles to the legal profession, and eventually into the world of AI and tech startups. He recounts his roles in various companies, including carparts.com, aristocrat, Axiom, and finally Tomta. The discussion delves into the importance of data privacy in AI development, the challenges of using sensitive data, and Tomta's innovative solutions for creating hyper-accurate yet anonymized datasets. This conversation sheds light on the critical intersection of technology, data privacy, and the future of AI, emphasizing the need for robust and ethical data management practices.

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:

Steven Atneosen has a Bachelor of Science (BS) degree in Accounting and Finance from Drake University. Additionally, they hold a Doctor of Law (JD) degree from Mitchell Hamline School of Law, with a focus on Entrepreneurship/Entrepreneurial Studies, Business, Litigation, and Appellate. Steven is also certified as an Attorney by the Minnesota State Bar Association. Steven has a diverse work experience spanning over a decade. Steven is currently the CEO and Co-founder of tomtA, where they focus on creating ML solutions for organizational missions by allowing the safe sharing and use of anonymized real data. Before tomtA, Steven founded Grand Chasm Ventures in 2018 and served as the Managing Director. Steven also worked as an Advisor for ElectricFish and NIO, where they held the role of Advisor to XPT before becoming the Vice President of Corporate Development for the same division. At NIO, they played a key role in attracting funding, building product roadmaps, and securing acquisitions for electric, connected, and autonomous vehicles. Steven has also been an Investor and Advisor for Deepen AI, an Advisor and interim COO for Wireline.io, and the SVP of Corporate Development, General Counsel, and Chief Privacy Officer for StayWell Health Management. Furthermore, they co-founded and served as the CEO of DebateHall.com and worked as the Vice President of Operations for RxVantage. Steven was responsible for developing growth strategies and improving product adoption in these roles.

Time Stamps:

00:36 Steven Background From Law to Entrepreneurship

05:08 Transition to Business Development

09:36 Venturing into Healthcare and Ad Tech

13:14 Founding a Venture Capital Firm

16:12 Challenges in AI

19:27 The importance of Data and Privacy

23:02 What problem is Tomta solving

25:32 Understanding Attribute Risk

29:20 Who is more concerned about Data and privacy

33:02 Engaging with Tomta AI

37:20 Future of Data Privacy and AI

45:54 Synthetic Equivalent Data and Its Benefits

Resources

Company website: https://tomta.ai/

LinkedIn: https://www.linkedin.com/company/tomta-ai/

Twitter: https://twitter.com/tomtA_ai

In this episode, we sit with Marcus Lampinen, the founder of Prifina. Marcus discusses how AI is revolutionizing the way individuals can manage and control their personal and professional data. We then delve into Marcus's background and how his passion for data led to the creation of Prifina, a user-controlled data company aimed at ensuring AI serves individuals' interests. The conversation covers the practical applications of AI in various fields such as athletics, education, and content creation, highlighting how easy-to-use consumer-grade tools provided by Prifina allow users to create their own AI twin. Marcus explains the technicalities behind training these AI models and assures that data control remains with the user, leading to more engaging and personalized interactions. They also explore innovative business models and future possibilities where AI can significantly augment human expertise and save time on mundane tasks.

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:

Markus Lampinen is a serial entrepreneur and early stage investor. Markus is specialized on data and applied AI, currently the CEO of Prifina focused on empowering the consumer market with AI that both represents them publicly and helps them privately. He is also involved in several innovative startups in fintech, data, machine learning and transparent AI.

Time Stamps:

00:36 Marcus Background and Personal Insights

03:55 The Concept of Prifina

08:04 User Engagement with Prifina

13:16 AI in Education and Beyond

17:19 Challenges and Customization in AI Responses

25:04 Simplifying AI for Consumers

25:37 Building and Launching AI Products

28:56 Consumer-Grade AI Platforms

30:14 Horizontal AI Applications

33:02 Contrast between Prifina approach vs. Fine-tuning an LLm

37:14 Business Model and Pricing

40:41 Future of AI Representatives

46:30 Final Thoughts and Upcoming Features

Resources

Company website: https://www.prifina.com/

LinkedIn: https://www.linkedin.com/company/prifina/

Twitter (X): https://twitter.com/myprifina

Facebook: https://www.facebook.com/myprifina

Markus AI Twin chat: https://hey.speak-to.ai/markus

In this episode, we speak with Maria Telleria co-founder and CTO of Canvas. Maria shares her journey from a mechanical engineering background in Mexico to leading innovations in AI and robotics for the construction industry. Starting from her research at MIT to building robots designed for unstructured environments, Maria discusses the challenges and breakthroughs in integrating AI with hardware. She emphasizes the critical role of sensors, AI models, and safety checks in developing effective robotic solutions. Maria also elaborates on how Canvas' technology is improving productivity and safety in construction, outlining the business benefits and future prospects for robots in commercial settings. The conversation covers the practical applications, adoption strategies, and the new hardware platform Canvas is launching to further augment construction workflows.

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:

Maria Telleria is co-founder and CTO of venture-backed Canvas. Her company is building and deploying robotic systems to assist workers in arduous and dangerous construction tasks. The Canvas System is now being deployed in the Bay Area. Before Canvas, Maria was a company lead at Otherlab, an independent research laboratory focused on developing hard tech ideas from research to product. At Otherlab, she oversaw three large-scale government grants and two commercial development programs aimed at developing a new class of compliant robotic systems for unstructured environments. She secured multi-million-dollar grants from agencies like NASA, DARPA, and the Office of Naval Research. She is author on sixteen patents and fifteen patent applications related to Canvas systems and is a co-inventor on an additional three patents related to pneumatic robots. Prior to joining Otherlab, Ms. Telleria worked at MIT Lincoln Laboratory on the design of next-generation data systems. Maria holds a Ph.D. in Mechanical Engineering from MIT. Her dissertation established the field of cylindrical compliant mechanisms. While at MIT she co-founded the MIT Grad Catalyst Program with the mission to give minority students the tools and information required to pursue advanced degrees in science and technology.

Time Stamps:

00:31 Maria’s introduction and background

03:50 Challenges in Robotics

05:46 Canvas and real-world applications

07:58 AI and robotics in construction

14:22 Infusing AI into hardware 16:52 Simulation and data challenges

23:05 Use cases for the future of robotics

27:09 Core components of AI-enabled hardware

30:40 Human-AI Collaboration

32:21 Real-world applications and challenges

38:07 Market launch and business strategy

43:10 Adoption and future prospects

46:37 Future directions and how to get in contact with the Canvas team

Resources

Company website: https://www.canvas.build/

LinkedIn: https://www.linkedin.com/company/we-are-canvas/

Twitter: https://x.com/canvas_build 

Instagram: https://www.instagram.com/we_are_canvas/

AI governance and risk management are crucial frameworks designed to ensure the responsible development, deployment, and oversight of artificial intelligence technologies. As AI becomes increasingly integral to various sectors, effective governance ensures that these systems operate ethically, transparently, and in compliance with relevant regulations. It addresses key issues such as bias, fairness, accountability, and privacy, ensuring that AI systems benefit society while minimizing potential harms. Risk management in AI involves identifying, assessing, and mitigating risks associated with AI technologies, from algorithmic bias to security vulnerabilities, to safeguard against negative impacts and promote trust in AI applications.

In this episode, we sit with Guru Sethupaty Co-founder and CEO of Fairnow. Guru talk about his extensive background in AI, detailing his journey from an AI enthusiast inspired by IBM's Deep Blue to his academic pursuits at Stanford and professional contributions at Capital One. The conversation delve into the critical aspects of AI governance and risk management, emphasizing the challenges enterprises face in integrating and scaling AI technologies while ensuring compliance and trustworthiness. Guru introduces Fairnow, which provides a platform to help organizations automate AI governance, manage risks, and comply with evolving regulations. Specific case studies, such as the Air Canada chatbot mishap, highlight the necessity for rigorous AI governance. Furthermore, they discuss the market dynamics, talent acquisition challenges in the AI sector, and the future landscape of AI governance.

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:

Guru Sethupathy has dedicated nearly two decades to understanding the impact of powerful technologies, such as AI, on business value, risks, and the workforce. He has written research papers on bias in algorithmic systems and the implications of AI technology on jobs. At McKinsey, he advised Fortune 100 leaders on harnessing the power of analytics and AI, while managing risks. As a senior executive at Capital One, he built the People Analytics, Technology, and Strategy function, leading both AI innovations as well as AI risk management in HR. Most recently, Guru founded a new venture, FairNow. FairNow’s AI governance software reflects Guru’s commitment to helping organizations maximize the potential of AI while managing risks through good governance. When he’s not thinking about AI governance, you can find him on the tennis court, just narrowly escaping defeat at the hands of his two daughters. Guru has a BS in Computer Science from Stanford and a PhD in Economics from Columbia.

Time Stamps:

01:59 Guru’s background and journey into AI

06:17 Implications of AI in the enterprise world

09:24 Challenges in AI adoption

11:03 Founding of Fair Now

13:18 Fair Now's governance platform

15:09 Governance and compliance examples

19:18 Modules and customer engagement

21:49 AI integration: understanding compliance and regulations

24:46 Building the engineering and data science team

27:54 Navigating talent acquisition challenges

31:00 Strategies for enterprise sales

34:09 The future of AI governance

38:26 Future directions and how to get in contact with the Fair Now AI team

Resources

Company website: https://fairnow.ai/

LinkedIn: https://www.linkedin.com/company/fairnowai/

Twitter: https://x.com/FairNow_AI

When getting into AI application development, it's important not to overlook the evaluation process. Many companies concentrate on building and training AI models, but struggle with systematically assessing the performance of these models. This emphasizes the necessity of using robust evaluation tools to accurately gauge the effectiveness of AI systems, stressing the importance of quantitatively measuring AI performance to identify strengths and weaknesses.

  Today, we sit with Yi Zhang, co-founder of Relari AI, to learn about their journey from a mix of finance and technology backgrounds into the field of artificial intelligence. We discussed Yi Zhang's early career in computer science, a role in investment banking, and then a transition to AI with a significant position at Pony AI. Our conversation focused on the evolution of the AI industry, specifically the transformative impact of LLMs (Large Language Models) like ChatGPT. We also examined Relari AI's mission to tackle the challenges of operationalizing AI applications, emphasizing their unique approach using synthetic data for rigorous evaluation. Additionally, we covered the importance of cross-industry AI applications, the critical need for reliability in AI outputs, and the company's ongoing recruitment efforts to grow their innovative team.

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:

  Yi is the co-founder & CEO of Relari AI. Relari is the testing and simulation platform for Generative AI systems. AI teams use Relari to generate large scale synthetic data to systematically test and improve their LLM-powered applications. Relari is backed by top investors like Y Combinator, Soma Capital and General Catalyst. Prior to founding Relari, Yi was a product leader at two AI unicorns, Pony.ai - an autonomous vehicle startup and Dexterity.ai - an AI robotics startup. Yi holds a Bachelor's Degree in Computer Science from Northwestern University and an MBA from Harvard Business School.

  Time Stamps:

  01:40 Yi’s background and journey into AI 05:41 Founding Relari: The genesis and vision 07:46 Challenges in moving LLMs from demos to production 11:57 Relari's approach to AI evaluation and synthetic data 19:19 Synthetic data and its importance 21:36 Using synthetic data to improve AI chatbot accuracy 26:38 Optimizing AI systems through evaluation and improvement strategies 32:08 The evolution of AI adoption in enterprises 35:33 Building the Relari team 40:17 Closing remarks and how to get in contact with the Relari team

Resources

Company website: https://www.relari.ai/ LinkedIn: https://www.linkedin.com/company/relari/ Twitter: https://x.com/RelariAI