In the latest episode, Kyriakos Eleftheriou sat down with Roman Bugaev , CTO of Flo and Vlad Nedosekin Director of AI Platform, at the Terra API HQ in London, to discuss how they built the top health AI platform globally for women's health.

CHAPTERS

(0:00) Intro — Flo Health: From 20 People to 80 Million Users

(1:02) How Flo became the fastest-growing health company in the world

(1:48) Roman's early days: 20 employees, no revenue, product-market fit

(3:15) How did you know the product was a hit?

(3:25) The underserved women's health market — everyone was building Uber alternatives

(4:31) First ML: neural networks for cycle and symptom prediction

(5:31) Product evolution — from symptom tracking to AI-powered insights

(5:38) Building chatbots inspired by how doctors ask questions

(9:18) A/B testing at scale — Flo's custom experimentation platform

(11:43) Engineering structure: autonomous two-pizza teams

(13:51) Team mistakes — why separate mobile and backend teams failed

(15:29) Scaling from 4 servers to 600 services and petabytes of data

(17:53) "Whenever it's possible, we are NOT doing AI"

(23:15) Why temperature data is critical for ovulation prediction

(25:09) Why Flo is the most accurate period tracker — data diversity advantage

(28:04) Competition: "We don't really have real competitors"

(29:00) AI content creation — generating personalized medical articles

(31:01) Hallucinations vs. conflicting medical sources

(32:34) The three-person blind test: when AI disagrees with humans

(35:10) AI is more consistent than clinicians — but biased against women

(36:52) Fine-tuning open-source models on synthetic women's health data

(38:25) User profile: the foundation of Flo's personalization

(41:19) The digital avatar — your AI health twin that notices what you don't

(43:09) AI router: like a GP triage system for language models

(46:04) Router also controls tone of voice and remembers past conversations

(47:29) "Evaluation, evaluation, evaluation" — how Flo picks models

(48:40) Model stability: why proprietary model updates are dangerous for medical AI

(51:01) Anonymous mode: privacy that enables AI instead of blocking it

(53:49) On-device ML for the most sensitive health data

(56:03) Cloudflare outage — "when everyone is down, you're allowed to be down"

(56:58) Fine-tuning Llama 7B on Databricks — 10,000+ GPU hours per run

(58:07) Training vs. inference cost breakdown

(59:45) 100,000-token prompts: the hidden cost of medical AI

(1:01:05) Build vs. buy: "Build your competitive advantage, buy everything else"

(1:04:47) Value creation vs. value capture teams

(1:07:04) The future: AI that knows you better than you know yourself

(1:09:00) Time series models: the future of health prediction from wearables

(1:10:38) Q&A

In this episode, Kyriakos Eleftheriou, Terra API CEO sits down with Sacha Michaud, co-founder of Glovo, one of the biggest tech successes in the European tech ecosystem,and Yellow.VC, an early-stage fund

Sacha shares the journey of building the on-demand delivery service from its inception in Barcelona to its expansion across 25 countries and a $2.3 billion acquisition.

He discusses the initial challenges of fundraising, competing against larger companies, and the importance of passion and culture in building a successful team. Michaud reflects on the early days of Glovo, where they experimented with a simple app that allowed users to order anything from the city, leading to unexpected viral growth despite initial losses. He emphasizes the significance of adapting to market needs and the evolution of Glovo's business model over the years, particularly during the COVID-19 pandemic, which accelerated the demand for grocery delivery.

Chapters

00:00 Introduction

02:29 The Birth of Glovo: From Idea to Launch

05:59 Viral Growth and Initial Operations

12:06 Realizing the Potential of Glovo

21:39 Expanding into New Markets

38:55 Navigating Competition and Strategic Decisions

50:39 The $2.3B Acquisition

55:00 Yellow, and investing in new startups

01:04:11 AI and Future Trends in Delivery

The first Iranian entrepreneur to build a company worth over $1B in Europe, Dan Vahdat, founder of Huma, is joining Kyriakos Eleftheriou, founder of Terra API

They discuss:

00:00 - Intro

02:10 - Communicating with @EmmanuelMacron and @kmitsotakis

08:55 - Why are Greece and Persia not empires today

13:40 - How the best people look like

18:30 - Short-term vs long-term thinking

24:27 - Dropping out of PhD

26:57 - The first months of Huma

32:00 - Early days

32:27 - 'I never had the ego of being turned down'

34:00 - First customers

37:21 - How to price expensive contracts

48:30 - Regulation as a moat

59:10 - Raising $300m from partners instead of VC

1:02:58 - AI

1:06:00 - Storytelling advice

1:09:55 - Running

1:14:32 - Cyrus, Darius, and Achaemenid inspirations

1:19:23 - The future