Startup Project: Build the future

Nataraj

Conversations with founders, operators and investors who are building the future. Listen to find the stories, ideas, tactics & investments behind the products that will define the future of technology. https://startupproject.substack.com/

  1. The Future of Enterprise AI: $100M ARR, Agents, Company Building, and Scaling Unicorns | Arvind Jain (Co-founder of Glean, Rubrik, ex-Google)

    HÁ 4 DIAS

    The Future of Enterprise AI: $100M ARR, Agents, Company Building, and Scaling Unicorns | Arvind Jain (Co-founder of Glean, Rubrik, ex-Google)

    Discover how Glean AI is transforming enterprise productivity with AI-powered search and intelligent agents. About the episode: Join Nataraj as he explores the evolution of enterprise AI with Arvind Jain, CEO of Glean. From its roots as an AI-powered search solution, Glean has transformed into a comprehensive AI agent platform, helping companies like Zapier, Carta, and Grammarly boost productivity. Arvind shares his journey, the challenges of building a universal AI assistant, and his vision for the future of AI at work. Discover how Glean is helping enterprises leverage AI to streamline workflows and enhance employee efficiency. Learn how Glean ensures AI delivers value safely and securely. What you’ll learn Understand the evolution of Glean from an AI-powered search tool to a comprehensive AI agent platform.Discover how Glean helps enterprises address productivity challenges by providing quick access to internal knowledge.Learn about the techniques Glean employs to reduce hallucinations and ensure accurate, reliable AI-driven insights.Explore the diverse use cases of AI agents in sales, customer service, engineering, and legal departments.Gain insights into Arvind Jain's vision for the future of work, where AI proactively assists employees in their daily tasks. About the Guest and Host: Arvind Jain: CEO of Glean, work AI platform, and co-founder of Rubrik. Connect with Guest: → LinkedIn: https://www.linkedin.com/in/jain-arvind → Website: glean.com Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor. → LinkedIn: https://www.linkedin.com/in/natarajsindam/ → Substack: ⁠https://startupproject.substack.com/⁠ In this episode, we cover (00:01) Introduction to Arvind Jain and Glean AI(01:13) What Glean does: AI-powered search and conversational AI assistant(03:43) The origin story of Glean: Solving productivity challenges in fast-growing companies(06:46) The evolution from search to an AI assistant(09:45) The advantages of tackling hard problems in startups(12:37) Techniques to reduce AI hallucinations and ensure accuracy(17:31) Model Hub: The different models Glean uses(20:16) Use cases for AI agent platforms across various departments(24:42) Workflow agents and the importance of integrations(31:59) The future of work: Proactive AI companions(37:14) Glean's cross-platform vision(39:07) How AI is changing the business of fast-growing startups(43:39) How Glean is becoming more AI-first internally(47:04) Ideas Arvind would explore if starting over with AI(49:49) Key metrics Arvind watches at Glean AI Don’t forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts. #GleanAI #EnterpriseAI #AISearch #AIAgents #FutureofWork #Productivity #ArtificialIntelligence #Innovation #SaaS #Startups #BusinessInsights #Technology #AIPlatform #WorkflowAutomation #MachineLearning #DeepLearning #AIStrategy #DigitalTransformation #AIinBusiness #TechPodcast

    54min

  2. 25 DE AGO.

    APIs as Graphs not Endpoints, building a company on open source foundations, why VPs of Engineering face impossible trade-offs | Apollo GraphQL CEO Matt DeBergalis

    ### About the episode: Join Nataraj as he interviews Matt DeBergalis, CEO of Apollo GraphQL, about the evolution of GraphQL from an open-source project to a product company. Matt shares insights on building and scaling APIs, the challenges of transitioning open-source tech into a viable business, and how AI is reshaping API development. Discover how Apollo is helping companies of all sizes leverage GraphQL to build agentic experiences and modernize their API strategies. ### What you’ll learn - Understand the journey of GraphQL from open source to a product-driven company. - Explore the challenges of adopting and scaling GraphQL in enterprise environments. - Discover how GraphQL simplifies complex data combinations with its declarative language. - Learn how Apollo GraphQL helps companies accelerate the development of robust APIs. - Examine the role of GraphQL in building modern agentic experiences powered by AI. - Understand how to balance short-term shipping pressures with long-term architectural considerations. - Identify when GraphQL makes sense for a company based on its API size and consumption needs. - Discover how AI is driving increased API consumption and transforming user interfaces. ### About the Guest and Host: Guest Name: Matt DeBergalis is the Co-founder and CEO of Apollo GraphQL, previously CTO and Co-founder at Meteor Development Group. Connect with Guest: → LinkedIn: https://www.linkedin.com/in/debergalis/ → Website: https://www.apollographql.com/ Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor. → LinkedIn: https://www.linkedin.com/in/natarajsindam/ → Twitter: https://x.com/natarajsindam → Substack: ⁠https://startupproject.substack.com/⁠ → Website: ⁠⁠⁠https://thestartupproject.io⁠⁠⁠ ### In this episode, we cover (00:01) Introduction to Matt DeBergalis and Apollo GraphQL (00:37) Matt's journey and the origins of Apollo GraphQL (03:24) The transition from open source to a company (05:02) GraphQL as a client-focused API technology (07:22) Meta's approach to open source technologies (10:11) Challenges of converting open source to a business (13:11) Balancing shipping speed with architectural considerations (15:52) The risk of adopting the wrong technology (19:13) The evolution of full-stack development (23:57) When does adopting GraphQL make sense? (26:45) Apollo's customer scale and focus (31:48) Acquiring customers and marketing to developers (33:52) Matt's transition from CTO to CEO (37:02) Apollo's sales motion and target audience (40:24) Matt's thoughts on AI and its impact (47:12) How AI is changing business metrics Don’t forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts. #GraphQL #ApolloGraphQL #API #OpenSource #Enterprise #AI #AgenticAI #APIDevelopment #Startup #Technology #SoftwareDevelopment #GraphQLAdoption #Kubernetes #React #FullStack #DataAnalytics #Innovation #DigitalTransformation #TechStrategy #Podcast

    51min
  3. How to be an AI first company, Enterprise AI adoption, Future of Developers, Cost of AI, Unlocking value from Enterprise Data with AI & more with Ben Kus | CTO of Box

    10 DE AGO.

    How to be an AI first company, Enterprise AI adoption, Future of Developers, Cost of AI, Unlocking value from Enterprise Data with AI & more with Ben Kus | CTO of Box

    In this episode of Startup Project, Nataraj interviews Ben Kus, CTO of Box, about the critical role of unstructured data in the AI revolution. They discuss the cost structures of adopting and building with AI, and how AI is transforming enterprise businesses. Ben shares Box's unique perspective, managing over an exabyte of data for 120,000 enterprise customers. Learn how AI can understand, automate, and enhance the value of your unstructured data, turning untapped potential into practical benefits.  What you’ll learn:  Understand what unstructured data is and why it's so critical for AI applications in business.Discover Box's strategic approach to integrating with other platforms and providing AI solutions on top of your data.Learn about the pivotal moment when Box realized the potential of generative AI and how they retrofitted their platform to be AI-first.Explore early AI use cases launched at Box, including chatting with documents and data extraction, and how enterprises are adopting these features.Understand the cost implications of leveraging AI and how Box balances offering AI for free with managing expenses.Dive into Box's perspective on pricing based on usage versus outcomes, and their current subscription model.Learn about Box's approach to AI agents, their definition, and how they are being implemented to solve complex problems.Discover the concept of "context engineering" and its importance in building AI agents that understand user needs.Understand how AI is impacting productivity within Box and the broader enterprise landscape.Find out about the AI models Box is working with and how they ensure security and trustworthiness for enterprise customers. About the Guest and Host: Ben Kus: Chief Technology Officer at Box, previously VP of Product at Box and co-founder of Subspace. Connect with Guest: → LinkedIn:   https://www.linkedin.com/in/benkus . → Website: https://box.com/ Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor. → LinkedIn: https://www.linkedin.com/in/natarajsindam/ → Twitter: https://x.com/natarajsindam → Substack: ⁠https://startupproject.substack.com/⁠ In this episode, we cover: (00:01) Introduction(00:35) What is unstructured data and why is Box in the center of AI?(04:05) Box's strategy on building new AI tools and features.(06:55) The moment Box realized AI was a big shift.(11:08) Earliest AI use cases launched at Box.(15:17) The cost of leveraging AI and its impact on profitability.(19:24) Pricing based on usage vs. outcomes.(22:47) Abuse prevention and handling unlimited storage.(24:16) AI products targeted for specific knowledge worker persona.(28:18) Being an AI-first company.(30:55) Defining and implementing AI agents within Box.(36:38) Form factors for agents in an enterprise product sense.(39:59) Productivity improvements with AI.(44:07) Progression in junior developers.(46:17) Document parsing and extraction.(49:16) AI models Box is working with.(52:10) Startup ideas in the AI era. Don’t forget to subscribe and leave us a review/comment on YouTube, Apple, Spotify or wherever you listen to podcasts. #unstructureddata #ai #artificialintelligence #enterprisetech #cto #box #datamanagement #machinelearning #generativeai #businesstransformation #ainnovation #techleadership #cloudcomputing #datascience #podcast #startupproject #natarajsindam #digitaltransformation #enterprisesolutions #aifirst

    55min

  4. 3 DE AGO.

    Automating Startup Formation, Scaling Fund Products, Applying AI Across Venture Tools | AngelList CTO Goutham Buchi

    About the Episode: This episode dives into AngelList's core products and how they strengthen the startup ecosystem. Goutham explains how AngelList sits at the center of founders, GPs, and LPs, providing tools and infrastructure to fuel innovation. He discusses the impact of AI on AngelList's operations, from streamlining fund deployment to providing deeper insights for investors. Goutham also shares his thoughts on the current AI hype cycle and how it's blurring the lines between traditional roles in tech companies. The conversation explores AngelList's adoption of crypto, including USDC funding and the potential for tokenization to create liquidity in private markets. Goutham also touches upon the future of AngelList and the exciting AI-powered products on the horizon. About the Guest and Host: Goutham Buchi: CTO of AngelList, former Senior Director of Engineering at Coinbase, co-founder and CEO of Mysicamore. → LinkedIn:  ⁠https://www.linkedin.com/in/gouthambuchi/⁠ Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor. → LinkedIn:   ⁠https://www.linkedin.com/in/natarajsindam   → Email updates: ⁠https://startupproject.substack.com/⁠ Timestamps: 00:02 - Introduction and Guest Introduction 01:06 - Goutham’s Background and Journey 02:21 - AngelList's Core Products and Business Drivers 05:18 - Democratizing Access to Early Stage Venture 06:43 - How AngelList Differs from Coinbase 09:27 - The Role of Regulation in Crypto and AngelList 11:19 - Goutham's Thoughts on Gen AI and the AI Hype Cycle 14:09 - AI: From Research Problem to Engineering Problem 17:56 - The Blurring of Roles with AI 22:28 - Blockers to AI Adoption 24:50 - How AngelList is Using AI in its Products 29:52 - Crypto Integration at AngelList 33:26 - Competition: Banking Rails vs. Regulation 35:58 - Creating Liquidity for GPs on the Platform 39:46 - Future of AI at AngelList 44:14 - Skills for Product Managers in the Age of AI 49:11 - Exploring AI Tools 50:21 - Product Hunt Subscribe to Startup Project for more engaging conversations with leading entrepreneurs! → Email updates: ⁠https://startupproject.substack.com/⁠ #StartupProject #AngelList #AI #ArtificialIntelligence #Startups #VentureCapital #Investing #Crypto #Coinbase #ProductHunt #Technology #Innovation #Funding #GouthamBuchi #NatarajSindam"}]

    49min
  5. How Publishers are Navigating Advertising, AI's Impact on Search Traffic, Biased Incentives of Ad Industry, Future of Publishing | Jared Siegal Founder of Aditude Inc | #104

    13 DE JUL.

    How Publishers are Navigating Advertising, AI's Impact on Search Traffic, Biased Incentives of Ad Industry, Future of Publishing | Jared Siegal Founder of Aditude Inc | #104

    About the episode: Join Nataraj as he explores the world of online advertising with Jared Siegal, founder and CEO of Aditude. Discover how programmatic advertising empowers publishers to scale their revenue and the evolving landscape of online monetization. They discuss the roles of different players in the ad industry, the impact of AI on search traffic, and the future of publishing. Gain insights into how Aditude is leveling the playing field for publishers in a Google-dominated world. If you are a publisher, this episode can provide actionable strategies to maximize your ad revenue and maintain control over your content. What you’ll learn Understand the basics of programmatic advertising and how it works in real-time.Identify the key players in the ad tech ecosystem, including publishers, ad servers, and exchanges.Discover how header bidding and real-time auctions have transformed online advertising.Learn about the impact of AI on search engine traffic and content strategies for publishers.Explore strategies for publishers to diversify revenue and maintain control in a changing landscape.Evaluate the pros and cons of SaaS pricing models versus commission-based models in ad tech.Recognize the challenges and opportunities for publishers in a Google-dominated ad market.Understand how Aditude helps publishers compete and maximize ad revenue. About the Guest and Host: Guest Name: Jared Siegal is the Founder and CEO of Aditude, a programmatic advertising solution that empowers publishers to scale their revenue. Connect with Guest: → LinkedIn: https://www.linkedin.com/in/jared-siegal-tude → Website: https://www.aditude.com/ Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor. → LinkedIn: https://www.linkedin.com/in/natarajsindam/ → Twitter: https://x.com/natarajsindam → Substack: ⁠https://startupproject.substack.com/⁠ In this episode, we cover (00:00) Introduction to Jared Siegal and Aditude (00:51) How Jared got into the ad business (03:34) Growing revenue and traffic at Answers.com (04:21) Understanding Google Ad Manager (GAM) and real-time bidding (07:30) Lay of the land in the ad industry: players and roles (09:30) Aditude's role in connecting advertisers to publishers (12:20) How brands place bids and the role of ad exchanges (13:33) Why choose Aditude over Google for ad management? (14:35) Creating fair competition across ad platforms (15:11) Aditude's SaaS pricing model and its advantages (18:08) Ideal publisher size for using Aditude's services (19:47) Google's acquisition of DoubleClick and monopoly concerns (23:46) High-frequency trading analogy in ad tech (26:20) Transition from consulting to a product company (32:04) Customer acquisition strategies for Aditude (33:27) Impact of AI and Chat GPT on publishers and traffic (36:19) Is AI making the internet better or worse for publishers? (38:04) How Google and Facebook sustain ad revenue despite traffic shifts (40:35) Move from search to answer and its impact on traffic sources (42:15) Challenges for new content creators in the current landscape (44:08) Trends in publishing: consolidation and mixed media (44:58) Bright spots in publishing: gaming and influencers (47:01) The influencer economy and its limitations (49:00) Generating content with AI and its potential pitfalls (50:09) Publishers leaving big houses and starting their own substacks (52:29) Common misconceptions about running a company (54:19) Aditude's next milestones and future plans Don’t forget to subscribe and leave us a review/comment on YouTube, Apple, Spotify or wherever you listen to podcasts. #adtech #programmaticadvertising #publishermonetization #onlineadvertising #digitalmarketing #headerbidding #realtimebidding #googleadmanager #advertising #adtechindustry #aditude #jaredsiegal #natarajsindam #startupproject #podcast #business #entrepreneurship #saas #artificialintelligence #AI

    49min
  6. AI Startup Cleaning Up a $1.6 Trillion Crisis, Building a Hardware + AI Startup, Scaling Edge AI, Digitize Waster & Reduce Landfill | Ambarish Mitra Co-Founder of Greyparrot AI | #103

    30 DE JUN.

    AI Startup Cleaning Up a $1.6 Trillion Crisis, Building a Hardware + AI Startup, Scaling Edge AI, Digitize Waster & Reduce Landfill | Ambarish Mitra Co-Founder of Greyparrot AI | #103

    Join Nataraj as he interviews Rish, the co-founder and CEO of Greyparrot, a company leveraging AI to revolutionize the recycling industry. Rish shares his journey from augmented reality to AI-powered waste management, detailing the challenges and opportunities in this space. Discover how Greyparrot's innovative technology brings transparency and efficiency to recycling, impacting the circular economy and creating a more sustainable future. Learn how AI can transform waste into a valuable resource. What you’ll learn Understand how AI-powered waste analytics are bringing transparency and efficiency to the recycling industry.Discover the challenges and opportunities in building AI solutions for large-scale waste management.Learn how Greyparrot is using computer vision to analyze and sort waste more effectively than traditional methods.Explore the impact of AI technologies on promoting and advancing the circular economy on a global scale.Gain insights into the architectural and structural issues specific to deploying AI in the waste management sector.Discover how strategic partnerships can help scale a business in the waste management and recycling industry.Understand the roles of manufacturers, governments, waste management, and consumers in creating a circular economy.About the Guest and Host: Rish: Co-founder and CEO of Greyparrot, using AI-powered waste analytics to revolutionize the recycling industry. Connect with Rish: → LinkedIn: https://www.linkedin.com/in/ambarishmitra/ → Website: https://www.greyparrot.ai/ Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor. → LinkedIn: https://www.linkedin.com/in/natarajsindam/ → Substack: ⁠https://startupproject.substack.com/⁠ In this episode, we cover (00:00) Introduction and Guest Introduction (00:49) The Origin Story of Greyparrot and its mission (02:23) From Visual Search to Waste Intelligence: The Pivotal Moment (04:58) Defining Greyparrot as a Material Asset Recovery Company (05:15) How Greyparrot's Analyzers Optimize Waste Sorting at Material Recovery Facilities (MRFs) (07:44) Integrating AI Brains into Mechanical Waste Management Plants (09:28) Architectural Challenges of Deploying AI in Waste Management (12:46) Building a Scalable AI Solution for Diverse Waste Management Plants (15:39) Deep Dive into Processing Images and Data Locally with On-Camera Computing (20:02) Brands leveraging waste data for packaging R&D and sustainability (21:52) Customer Acquisition strategies (28:07) Scale of business (30:01) Contrasting Waste Management in Developed vs. Developing Economies (35:13) China's role in global waste management (37:03) Diverting waste streams (39:57) The key components responsible for circular economy Don’t forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts. #StartupProject #GreyParrot #AI #WasteManagement #Recycling #CircularEconomy #Sustainability #Innovation #DeepLearning #ComputerVision #MaterialRecovery #Tech #Environment #Podcast #Entrepreneurship #Startup #RecyclingTech #WasteAnalytics #AIforGood #GreenTech

    40min
  7. How Statsig Founder Vijaye Raji Built a $1.1B Product Development Platform | CEO & Co-Founder of Statsig | Startup Project #102

    13 DE JUN.

    How Statsig Founder Vijaye Raji Built a $1.1B Product Development Platform | CEO & Co-Founder of Statsig | Startup Project #102

    Join Nataraj as he sits down with Vijaye Raji, founder and CEO of Statsig, a platform revolutionizing product development with data-driven decision-making. Formerly a VP at Facebook and head of Facebook Seattle, Vijaye shares his journey from big tech to startup founder. About the Episode: This conversation explores Vijaye's transition from leading entertainment at Facebook to building Statsig, a developer platform empowering data-driven decisions.  He dives into his experience at Microsoft and Facebook, highlighting the challenges and motivations that led him to entrepreneurship. Vijaye discusses Statsig's value proposition, differentiating it from existing point solutions by consolidating feature flagging, analytics, and experimentation into one platform.  The discussion extends to the future of experimentation in an AI-first world.  He emphasizes the importance of product intuition alongside experimentation and shares Statsig's approach to culture, talent acquisition, and growth. About the Guest and Host: Vijaye Raji: Founder and CEO of Statsig, former VP at Facebook, and head of Facebook Seattle. Connect with Vijay: → LinkedIn:  https://www.linkedin.com/in/vijaye/ → Website: https://www.statsig.com/ Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor. → LinkedIn:   https://www.linkedin.com/in/natarajsindam → Twitter: https://x.com/natarajsindam → Email updates: ⁠https://startupproject.substack.com/⁠ → Website: ⁠⁠⁠https://thestartupproject.io⁠⁠⁠ Timestamps: 00:01 - Introduction and Guest Introduction 00:48 - Vijay's Background and Transition from Big Tech 01:11 - Leaving Facebook and the Motivation for Startups 02:05 - Early Career at Microsoft and Facebook's Startup Phase 04:21 - Diverse Roles and Experiences at Facebook 05:38 - Problems and Scale as Head of Entertainment at Facebook 07:41 - Business Side of Entertainment: Licensing and Content Acquisition 08:30 - From Facebook to Statsig: Idea Evaluation 10:27 - Getting the First Customers: Avoiding Common Mistakes 13:19 - Blind Spots in Transitioning from Big Tech to Startups 14:38 - Go-to-Market Intuition and Building Conviction 17:03 - Statsig's Value Proposition and Differentiation 19:28 - Explanation of Feature Flagging 20:47 - Trends in Experimentation and Product Validation 23:00 - Ideal Customer Profile for Statsig 24:38 - Experimentation vs. Gut Feeling: Balancing Data and Intuition 28:20 - Statsig's Growth: Customers, Users, and Scale 29:44 - Positioning Statsig: Developer Tool vs. Product Development Platform 31:08 - Marketing Efforts and ROI 32:24 - Culture: In-Person Work Environment 34:41 - Attracting Talent: Statsig's Approach 40:04 - Fundraising: Strategy and Benefits 41:35 - AI: Integration with LLMs and Product Extensions 44:26 - ML vs. LLMs: Democratization of Access 46:44 - Favorite Failure and Learning from Mistakes 49:31 - Current Consumption (Books, Podcasts, etc.) 50:11 - Lessons Learned as a Founder 51:16 - Big Company Perks Missed and Not Missed Subscribe to Startup Project for more engaging conversations with leading entrepreneurs! → Email updates: ⁠https://startupproject.substack.com/⁠ #StartupProject #Statsig #ProductDevelopment #Experimentation #FeatureFlagging #ProductAnalytics #DataDriven #AI #ArtificialIntelligence #SaaS #Entrepreneurship #Podcast #YouTube #Tech #Innovation

    52min
  8. How Chronosphere Solved Observability in Containerized Environments to Build $1.6B Company | Uber spin-out, 5x Cheap & Impact of AI in Observability | CEO Martin Mao | Startup Project #101

    18 DE MAI.

    How Chronosphere Solved Observability in Containerized Environments to Build $1.6B Company | Uber spin-out, 5x Cheap & Impact of AI in Observability | CEO Martin Mao | Startup Project #101

    Martin Mao is the co-founder and CEO of Chronosphere, an observability platform built for the modern containerized world. Prior to Chronosphere, Martin led the observability team at Uber, tackling the unique challenges of large-scale distributed systems. With a background as a technical lead at AWS, Martin brings unique experience in building scalable and reliable infrastructure. In this episode, he shares the story behind Chronosphere, its approach to cost-efficient observability, and the future of monitoring in the age of AI. What you'll learn: The specific observability challenges that arise when transitioning to containerized environments and microservices architectures, including increased data volume and new problem sources. How Chronosphere addresses the issue of wasteful data storage by providing features that identify and optimize useful data, ensuring customers only pay for valuable insights. Chronosphere's strategy for competing with observability solutions offered by major cloud providers like AWS, Azure, and Google Cloud, focusing on specialized end-to-end product. The innovative ways in which Chronosphere's products, including their observability platform and telemetry pipeline, improve the process of detecting and resolving problems. How Chronosphere is leveraging AI and knowledge graphs to normalize unstructured data, enhance its analytics engine, and provide more effective insights to customers. Why targeting early adopters and tech-forward companies is beneficial for product innovation, providing valuable feedback for further improvements and new features. How observability requirements are changing with the rise of AI and LLM-based applications, and the unique data collection and evaluation criteria needed for GPUs. Takeaways: Chronosphere originated from the observability challenges faced at Uber, where existing solutions couldn't handle the scale and complexity of a containerized environment.Cost efficiency is a major differentiator for Chronosphere, offering significantly better cost-benefit ratios compared to other solutions, making it attractive for companies operating at scale. The company's telemetry pipeline product can be used with existing observability solutions like Splunk and Elastic to reduce costs without requiring a full platform migration. Chronosphere's architecture is purposely single-tenanted to minimize coupled infrastructures, ensuring reliability and continuous monitoring even when core components go down. AI-driven insights for observability may not benefit from LLMs that are trained on private business data, which can be diverse and may cause models to overfit to a specific case. Many tech-forward companies are using the platform to monitor model training which involves GPU clusters and a new evaluation criterion that is unlike general CPU workload. The company found a huge potential by scrubbing the diverse data and building knowledge graphs to be used as a source of useful information when problems are recognized. Subscribe to Startup Project for more engaging conversations with leading entrepreneurs! → Email updates: ⁠https://startupproject.substack.com/⁠ #StartupProject #Chronosphere #Observability #Containers #Microservices #Uber #AWS #Monitoring #CloudNative #CostOptimization #AI #ArtificialIntelligence #LLM #MLOps #Entrepreneurship #Podcast #YouTube #Tech #Innovation

    51min
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Conversations with founders, operators and investors who are building the future. Listen to find the stories, ideas, tactics & investments behind the products that will define the future of technology. https://startupproject.substack.com/

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