SeedToScale | Curated by Accel

Anand Daniel

Accel launched SeedToScale in August 2020 to remove information asymmetry in the startup ecosystem and make a founder's path to success as frictionless as possible. We aim to achieve this by providing the best source of knowledge and actionable insights for company building. In the three years since, we have created over 300 knowledge pieces covering all stages of building a company. We collaborated with 80+ industry experts, successful founders, and mentors to create thematic series, reports, blogs, guest articles, podcasts, and other forms of content. Overall, we have reached 500K knowledge seekers.

  1. How August Is Building the 'World’s Largest Consumer Health AI' | Decoding AI Episode 12

    23 ENE

    How August Is Building the 'World’s Largest Consumer Health AI' | Decoding AI Episode 12

    Doctor visits are short. Health journeys are long. In this episode, Anuruddh Mishra, Founder & CEO of August AI, talks about building an AI-led health companion designed to support patients beyond brief clinical interactions. He shares how August is built to retain personal health context over time, stay available when questions come up, and help people make sense of scattered medical information across their journey. Watch the full episode for the complete conversation. Chapters: 0:09 - Intro 0:33 - What is an AI health companion 3:06 - As an engineer, why did you choose to get into this field related to health? 8:04 - Did you worry about ChatGPT being a competition? 10:15 - How do you look at benchmarks? 14:31 - How is it performing versus human doctors? 15:40 - Why are you a horizontal health AI platform? 17:53 - Where does August AI stand in terms of memory? 21:37 - Is August’s memory different from general purpose memory? 21:53 - Are there any general purpose memory tools or do you have to build everything in-house? 23:00 - How much did you spend on marketing? 24:15 - What did you do in the early days to get this magical market pull? 27:30 - How did you go about fundraising & was it challenging? 33:30 - Aren’t you worried about Google & ChatGPT coming at August with full force once they take notice? 36:00 - Can you help us walk through your version of the world filled with an abundance of clinical knowledge? 38:54 - How do you ensure that AI never crosses regulatory guardrails? 42:36 - In 10 years what will be inevitable with AI in healthcare? 44:36 - Outro Follow Anuruddh on LinkedIn: https://www.linkedin.com/in/anuruddhmishra/?originalSubdomain=in Follow Anagh Prasad on LinkedIn: https://www.linkedin.com/in/anaghprasad/?originalSubdomain=in Follow SeedToScale on LinkedIn: https://www.linkedin.com/company/seedtoscale/ #DecodingAI #SeedToScale #Accel #Healthcare #Tech #Medical #Startup #Funding #Digital

    45 min
  2. 11/11/2025

    Haber: Building Smarter, More Efficient Factories with AI-Driven Automation | Decoding Manufacturing

    Everyone’s talking about generative AI. Few talk about industrial AI: where the data meets the factory floor. In this episode of Decoding Manufacturing, Vipin Raghavan, Co-founder & CEO, Haber, explains how Haber is using AI to close the loop between lab and line, turning process data into real-time chemistry control and measurable profit impact. From automating dosing systems to building trust through prediction accuracy, Vipin breaks down what it takes to bring AI into legacy plants, why Haber prices by production output instead of licenses, and how vertical depth and reliability built a zero-churn business. He also talks about India’s manufacturing readiness, cultural differences in adoption, and what the road to autonomous factories really looks like. Chapters 00:00 – Intro: AI that augments, not replaces operators 02:57 – The three universal manufacturing challenges 07:25 – Why now: Connected factories and cheaper edge compute 09:59 – Trust before autonomy: Building accuracy first 13:52 – The pacemaker product and Haber’s zero churn 17:37 – Pricing by the tonne, not by the seat 21:46 – India vs West: Cultural adoption of industrial AI 24:36 – Building T-shaped talent 27:33 – The long road to near-autonomous factories Follow SeedToScale on LinkedIn for more insights: https://www.linkedin.com/company/seedtoscale Follow Vipin on LinkedIn: https://www.linkedin.com/in/vipin-raghavan-6142986/?originalSubdomain=in #AI #Manufacturing #Automation #Innovation #Technology #Sustainability #Industry #Data #DecodingManufacturing

    31 min
  3. 07/11/2025

    Building AI-First Products: Lessons from Microsoft on the Next Era of Productivity | Decoding AI Episode 10

    The next big shift in AI isn’t about models getting smarter, it’s about how we work. In this episode of Decoding AI, Aparna Chennapragada, Chief Product Officer for AI Experiences at Microsoft, shares how AI is transforming the workplace from tools that assist us to teammates that collaborate with us. Aparna draws from over two decades of product building. From Akamai’s internet backbone to Google’s AI-first products, like Lens, and now leading Microsoft’s AI strategy. Her insights go beyond features and hype, focusing instead on what it takes to build AI products that last. Here’s what we explore in this episode: • Why “adding AI” isn’t enough and what “AI-first” really means • How Microsoft is reimagining productivity for the AI era • What happens when the model starts to “eat the product” • Why trust, timing, and design are key to durable AI • Where founders can find the next big opportunities in AI, from context engineering to workflow intelligence If you’re a founder, builder, or product leader trying to understand where AI is headed next, this conversation is a roadmap. Chapters: 00:00 – Introduction 01:32 – Aparna’s journey: From Akamai to Google to Microsoft 05:20 – Lessons from building early AI products at Google 08:15 – Why the timing of AI adoption matters more than novelty 11:40 – The speed of AI change 15:05 – The shift from tools to teammates at Microsoft 19:30 – How AI is transforming productivity inside organisations 23:10 – The danger of “adding AI” vs. building AI-first 28:20 – What happens when the model eats the product 33:05 – Building moats: data, context, and trust 37:25 – AI products that last beyond hype 41:00 – Where founders can build next in AI 45:12 – Closing reflections Follow SeedToScale on LinkedIn: https://www.linkedin.com/company/seedtoscale/ Follow Anand Daniel on LinkedIn: https://www.linkedin.com/in/ananddaniel/ Follow Aparna on LinkedIn: https://www.linkedin.com/in/aparnacd/ Follow SeedToScale on X: https://x.com/Seed2Scale #DecodingAI #SeedToScale #Microsoft #Accel #AI #ProductDesign #FutureOfWork #startup #aistartups #artificialintelligence #copilot #accel

    38 min

Acerca de

Accel launched SeedToScale in August 2020 to remove information asymmetry in the startup ecosystem and make a founder's path to success as frictionless as possible. We aim to achieve this by providing the best source of knowledge and actionable insights for company building. In the three years since, we have created over 300 knowledge pieces covering all stages of building a company. We collaborated with 80+ industry experts, successful founders, and mentors to create thematic series, reports, blogs, guest articles, podcasts, and other forms of content. Overall, we have reached 500K knowledge seekers.

También te podría interesar