Podcast Summary: "AI Companies That Raised Over $100M+ | Pt. 2"

Podcast: AI Hustle: Make Money from AI and ChatGPT, Midjourney, NVIDIA, Anthropic, OpenAI
Hosts: Jaeden Schafer and Jamie McCauley
Date: December 31, 2025

Episode Overview

This episode continues the "AI Companies That Raised Over $100M+" series, highlighting the AI startups and enterprises that made the biggest funding waves in 2025. Jaeden and Jamie dive into recent massive fundraising rounds, what these companies do, their positions in the AI ecosystem, and larger industry trends—especially in infrastructure, healthcare, legal tech, and hardware. They also interject personal insights and context from their own startup and experiences with AI, making this a practical guide for entrepreneurs keeping an eye on the next big thing—or aiming to build it.

Key Companies Discussed & Insights

1. Lambda (AI Infrastructure)

• [00:55]
  • Funding: Raised $480 million in a Series D at a $2.5 billion valuation.
  • Backers: Led by SGW and Andrea Capital; participants included Nvidia, G Squared, and ARK Invest.
  • Space: AI infrastructure—provides backend services for running and scaling AI applications.
  • Hosts’ Experience: Jamie notes AI Box, his startup, uses Lambda for backend infrastructure.
  • Quote:

    "If the company does anything with infrastructure, if they're going to buy chips, Nvidia is going to give them money because Nvidia knows the money is coming straight back to them." — Jaeden [01:46]

  • Insight: The heavy funding reflects the critical value and increasing demand for cloud and on-premise AI infrastructure.

2. Abridge (Healthcare AI)

• [02:43]
  • Funding: $250 million in a Series D; $2.7 billion valuation (announced February 17th, 2025).
  • Product: AI platform that transcribes patient-clinician conversations and generates notes for doctors.
  • Industry Need: Streamlines a critical administrative task, freeing up practitioners to see more patients.
  • Quote:

    "Note taking is a huge time suck for them. They can't see as many patients because of the load of all the notes. So, huge opportunity there." — Jamie [03:05]

  • Prediction: Expect growth in AI applications addressing medical workflow efficiencies.

3. Udia (Legal Tech AI)

• [03:56]
  • Funding: $105 million Series A led by General Catalyst; also backed by Floodgate, Defy Ventures, and others.
  • Product: AI solutions focused on legal work, especially protecting client confidentiality.
  • Quote:

    "You’re going to want a very specific tool for lawyers for health care. And so that's what a lot of these companies are solving here." — Jaeden [05:38]

  • Notable Segment: Sam Altman’s warning about privacy (with ChatGPT) is cited, highlighting why specialized AI is crucial in regulated, high-privacy industries.

4. InCharge (Hardware – AI Chips)

• [06:01]
  • Funding: $100 million in Series B (February 13th, 2025), led by Tiger Global.
  • Product: Semiconductor startup focusing on analog memory chips purpose-built for AI, spun out of Princeton University.
  • Tech Advantage: Claims their AI accelerators use "20 times less energy to run a workload," making on-device AI more efficient and affordable.
  • Quote:

    "The concept is that they think analog memory chips should be embedded into devices like laptops, desktops, handsets, wearables, and that they're going to speed up AI processing and also bring down the cost as well." — Jaeden [06:47]

  • Industry Impact: Potentially disrupts the Nvidia-led AI chip dominance by offering a more efficient path for edge devices.

5. Harvey AI (Legal Tech)

• [07:53]
  • Funding: $300 million Series D at a $3 billion valuation; backed by Sequoia, Kleiner Perkins, GV, OpenAI Startup Fund, and others.
  • Product: AI platform for legal professionals; one of the most prominent and quickly funded startups in the AI legal space.
  • Quote:

    "I think Harvey's like one of the big companies that we talk about a lot when it comes to AI and legal. They were kind of the first one that was able to raise a lot of money very quickly for lawyers." — Jaeden [08:23]

  • Fun Moment: Jamie speculates the name "Harvey" might be a nod to the TV series "Suits." [08:46]

Notable Quotes & Memorable Moments

• On Infrastructure Spending:

  "I'm not going to pretend that I know everything that goes on with Lambda... Lambda is mentioned in almost every conversation that we have. It's part of the infrastructure that helps run all our servers..." — Jamie [01:20]

• On AI Community Trends:

  "Some people are protesting against it, some people are anti... all the infrastructure stuff is going to definitely come into the forefront." — Jamie [02:50]

• On AI in Regulated Industries:

  "If a lawyer is using ChatGPT to talk about your case, those chats could technically sort of get subpoenaed... So because of that, you're going to want a very specific tool." — Jaeden [05:11]

Timestamps for Important Segments

• 00:55 — Lambda: $480M Series D, infrastructure importance
• 02:43 — Abridge: Healthcare note automation, $250M raise
• 03:56 — Udia: Legal tech, $105M Series A, confidentiality issues
• 06:01 — InCharge: AI hardware, $100M Series B, Princeton spin-out
• 07:53 — Harvey AI: Legal AI superstar, $300M Series D

Tone and Takeaways

The hosts are candid, energetic, and practical, weaving their personal startup experience with objective commentary. They emphasize the massive opportunities—and challenges—at the intersection of AI and regulated industries, as well as the breakneck pace of investment in infrastructure and hardware. The key theme: AI is moving quickly, and those building the right tools for highly specific challenges (privacy, efficiency, workflow) are winning the confidence—and capital—of the world’s top investors.

For more tips on leveraging AI to accelerate your own business, Jaeden and Jamie recommend checking out their community and classroom for hands-on demos and insider breakdowns.

This summary covers all key discussion points and memorable moments from the podcast episode, excluding advertisements and promotional sections.