Afleveringen
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Mercor, a startup that just raised $100 million in Series B funding at a valuation of $2 billion, is transforming the way companies find and hire talent through AI-driven screening. Already, Mercor has conducted over 100,000 AI interviews and vetted more than 300,000 candidates globally. In this episode, we'll take a look at how Mercor’s platform works, the technology behind it, its challenges, and what it signals about the future of work and global hiring.
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In this episode, we’re talking about Windfall - an AI-driven data company helping organizations identify and engage high-value consumers. Windfall recently raised $65 million in Series B funding. We’ll discuss how it helps go-to-market teams, its core technology, key customers, and what sets Windfall apart in an increasingly crowded data landscape.
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Zijn er afleveringen die ontbreken?
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In this episode, we're looking at Sierra AI, a company building a conversational AI platform that helps businesses create AI agents for customer support and many other applications. Sierra recently raised $175 million, valuing the company at $4.5 billion. We'll talk about the founding team, their product and the technology behind it. We'll also discuss how companies are already using Sierra today, and its unique outcome-based pricing model.
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In this episode we’re talking about Writer, a startup that provides a full-stack generative AI platform built specifically for enterprises. The company recently raised $200 million in a Series C funding round, at a pre-money valuation of $1.7 billion.
We’ll cover how Writer got started, explore its core products, take a peek under the hood at how the platform actually works, and discuss how enterprises are using writer.
Let’s jump in.
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In this episode, we look at Harvey - the legal AI startup backed by over $500 million in funding and most recently valued at $3 billion. We cover its origins, underlying technology, go-to-market strategy, and compliance approach. We also discuss how AI is changing everyday legal workflows, and what lessons it can offer to other knowledge based industries.
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In this episode, we’ll talk about Abridge—a healthcare startup building a generative AI platform for clinical conversations. Studies show that doctors spend, on average, more than two hours each day on administrative tasks. We’ll explore how Abridge got started, how it aims to solve this problem, and what its secret sauce might be. With a recent Series D funding round of $250 million, Abridge is now valued at $2.75 billion . If you've ever wondered how AI could actually reduce paperwork for doctors, this one's for you.
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MCP (Model Context Protocol) and A2A (Agent2Agent Protocol) are getting plenty of attention lately. But what exactly are these protocols, and what problems are they trying to solve? In this episode, we'll decode what MCP and A2A have in common, explore the use cases that could benefit from them, and highlight what sets them apart.
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Video production has traditionally involved many tedious tasks - things like motion capture, rotoscoping, and precise camera tracking. These jobs typically require significant time, specialized teams, and complex setups. But now, AI-powered tools like Wonder Studio, Runway Act-One, and Runway V3 Alpha are making these tasks simpler, faster, and more accessible. In this episode, we’ll look at how these tools are already reshaping video production, and discuss what the future might hold as AI becomes an everyday part of the filmmaker's toolkit.
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In this episode, we'll explore the journey of character.ai. Founded in 2021 by ex-Googlers Noam Shazeer and Daniel de Freitas, character.ai quickly grew into a popular AI chatbot platform, attracting tens of millions of active users and raising hundreds of millions in funding. Then, in August 2024, it struck a strategic deal with Google - almost an acquisition. What exactly happened? Let’s find out.
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AI agents are a hot topic right now. We've talked about different aspects of agents before - like the operator, browser use, and deep research. In this episode, we're looking at a new agent that's getting a lot of attention: the "Super Agent" from Genspark. Genspark claims they've reached $10 million ARR in just 9 days. By my calculation, that's about $250K in revenue for those 9 days - not exactly "annual" recurring revenue (yet), but still impressive. So, what's special about Super Agent? What can it actually do, and how does it compare with other AI agents out there? Let's get into it.
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CoreWeave is a cloud computing company focused on GPU infrastructure tailored for AI workloads, and it just went public recently. In this episode, we'll cover CoreWeave's history, discuss its competitive strengths and potential weaknesses, and compare it to traditional cloud providers. Can it stay ahead of the competition? Let's find out.
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A hot new open-source project, browser-use (https://github.com/browser-use/browser-use), has just raised $17 million in seed funding. We've previously explored how LLMs interact with browsers, such as with OpenAI's Operator and Anthropic's Computer use. In today's episode, we'll take a closer look at browser-use, diving deep into how this tool can enable these capabilities, highlighting its strengths, exploring its limitations, and uncovering the exciting opportunities ahead.
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High-quality labeled data is crucial for training successful AI models, but collecting it at scale has always been a major challenge. In this episode, we’ll decode the story of Scale AI, one of the standout companies helping businesses annotate their data. We’ll explore its origins, how it scaled to work with hundreds of thousands of human labelers, and the challenges it continues to face.
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In this episode, we dive into Deep Research, an agentic AI system that harnesses LLMs to automatically search the web, gather relevant information, and synthesize comprehensive research reports. We'll explore how these systems work behind the scenes, key vendors in this space, and discuss practical applications and use cases.
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Last year, cybersecurity firm Wiz turned down a $23 billion acquisition offer from Google. Now, it's on track to double its annual recurring revenue to $1 billion by 2025. In this episode, we'll explore the story behind Wiz's rapid growth, dive into the technology powering its products, and uncover the unique strategies that help Wiz stand out in the fiercely competitive cloud security market.
If you'd like to know more about Wiz, here are the references used for the research:
https://www.wiz.io/blog/how-wiz-code-was-built-with-developers-in-mindhttps://www.youtube.com/watch?v=ueM8XxkUSFI&t=278s
https://www.wiz.io/blog/100m-arr-in-18-months-wiz-becomes-the-fastest-growing-software-company-ever
https://youtu.be/79WtXeacujU?list=TLGGD_x6QlEC7I8yODAyMjAyNQ
https://youtu.be/3YmRia4djP0?list=TLGGbrlrIFdhxWIyODAyMjAyNQ
https://www.youtube.com/watch?v=-HYA_lNCpiY&t=5s
https://www.youtube.com/watch?v=SHuKQTFmrdE
https://en.globes.co.il/en/article-wiz-reports-350m-revenue-in-2023-hiring-400-in-2024-1001469549
https://www.wsj.com/articles/cyber-startup-wiz-raises-1-billion-on-path-to-ipo-500f9145
https://techcrunch.com/2024/10/23/wiz-hopes-to-hit-1b-in-arr-in-2025-before-an-ipo-after-turning-down-googles-23b/
https://techcrunch.com/2023/02/27/cloud-security-startup-wiz-now-valued-at-10b-raises-300m/
https://techcrunch.com/2024/10/28/wiz-ceo-explains-why-he-turned-down-a-23-billion-deal/
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ElevenLabs is a pioneering AI company specializing in natural-sounding speech synthesis software. Founded in 2022, it has grown rapidly, reaching $100 million ARR in just 2 years. More recently, Spotify just opened up the support for AI generated audiobooks (https://newsroom.spotify.com/2025-02-20/spotify-opens-up-support-for-elevenlabs-audiobook-content/).
In this episode, we discuss the technology behind realistic speech synthesis, their unique approach and business model.
If you want to know more about ElevenLabs or the technology, you can refer to the following materials used in the research:
- https://github.com/neonbjb/tortoise-tts
- https://elevenlabs.io/blog/tortoise-tts-v2
- https://assets.ctfassets.net/f1df9zr7wr1a/5iH4gCSx2AdDihfxd2Sj3/5a44f34d8ac9c002ad946adfce9cef68/elevenlabs.pdf
- https://research.contrary.com/company/elevenlabs -
Anthropic just published an interesting report on how people are using AI in the real world by analyzing millions of real conversions on their Claude.ai platform. In this episode, we'll discuss some of the key findings in the report, for example, who's using AI the most (hint: software developers) and how they are using it.
If you'd like to read the full report, it is here:
https://assets.anthropic.com/m/2e23255f1e84ca97/original/Economic_Tasks_AI_Paper.pdf -
OpenAI recently introduced Operator (https://openai.com/index/introducing-operator/), an AI agent that can use its own browser to perform tasks for you. Anthropic has a similar product called computer use (https://www.anthropic.com/news/3-5-models-and-computer-use), and there are open source projects like browser-use (https://github.com/browser-use/browser-use). In this episode, we take a look at the technology behind the so-called Computer Using Agents (CUA), their use cases, limitations and the challenges ahead.
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In this episode, we dive into DeepSeek, the hottest AI company making waves in the industry right now. We'll explore the company's origin story, discuss what's unique about its v3 and R1 models, and why DeepSeek is able to train these models at a fraction of the cost compared to traditional methods.
If you are interested in learning more about DeepSeek and its models, we've included some references to satisfy your curious mind:
- DeepSeek v3 Technical Report: https://arxiv.org/pdf/2412.19437
- DeepSeek R1: https://github.com/deepseek-ai/DeepSeek-R1
- SemiAnalysis' analysis: https://semianalysis.com/2025/01/31/deepseek-debates/
- Founder's interview: https://www.lesswrong.com/posts/two-interviews-with-the-founder-of-deepseek -
In this episode, let's talk about Replicate, a company on a mission to make running AI models as simple as making an API call. We'll discuss its origins, the business model, its strong ties to the open source movement, and some potential challenges.
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