Read the pitch deck an AI video startup behind viral baby podcast memes used to raise $32 million from A16z and others

A video of a baby interviewing a dog on a podcast went viral last month.

No, it wasn’t real. It was an AI-generated video created by comedian Jon Lajoie, who used Hedra, an AI video generation platform, to make the animation.

Hedra’s platform allows users to generate images, video, and audio with its web-based content creation studio.

“Our model and technology focuses on the most controllable, compelling characters, whether that’s a hyperrealistic human or an animated character or even an animal,” Hedra’s CEO, Michael Lingelbach, told Business Insider.

On Thursday, Hedra announced that it raised a $32 million Series A fundraising round led by Andreessen Horowitz’s Infrastructure fund. The round included returning investors such as A16z Speedrun, Abstract, and Index Ventures.

Since its launch in 2024, the AI video startup has rapidly raised capital. In August, it announced a $10 million seed investment round. In March, Amazon‘s Alexa Fund announced that it invested in the startup and several other AI companies. Hedra said it has raised a total of $44 million but has not disclosed a valuation.

Competition in the generative AI is hot, with buzzy companies like Captions, HeyGen, Synthesia, and Runway building tech around video and avatars (Hedra specified that it is not an avatar company).

“We’re not trying to compete with Google Veo, we’re not trying to compete with Sora,” Lingelbach said. “We’re focusing really firmly on building the best character models, and that’s something that with this additional capital we can make another step function in doing.”

Hedra’s Character-3 “omnimodal” model combines images, text, and audio to generate video. Creating a character with Hedra begins by uploading an image and then uploading audio that they’ve either already recorded (like a podcast) or generated using text-to-speech models like ElevenLabs.

“Both voice and video are seeing rapid evolution right now,” Lingelbach said. “We took a big leap forward on naturalness of expression with our current model.”

Hedra’s platform is also users to integrate outside models like ElevenLabs, Google Veo, and Flux “all in one workflow,” Lingelbach said.

Expanding beyond the creator economy

Hedra’s core user base has been professional creators and marketers, Lingelbach said.

“We’re already seeing a massive influx of AI-generated content,” Lingelbach said. “My Instagram and TikTok feed are filled with various memes and also more serious content now that’s AI-generated.”

From comedy skits to faceless creator content to … talking babies, Hedra’s already seen a wide range of use cases. Podcast content, particularly, has been a popular application of Hedra’s tech.

“It’s not really something that we anticipated initially, but it definitely has been driving a lot of our usage,” he said.

In addition to the viral trend of AI baby-hosted podcasts that people have been creating using Hedra, others have used Hedra to create Studio Ghibli-style videos of the classic podcast interview clip.

With its recent raise, Hedra plans to expand into more enterprise marketing applications, expand its team, and open an office in New York City.

Read the pitch deck Hedra used to raise its Series A:

Note: Some slides have been redacted in order to share the deck publicly.

Hedra is focused on storytelling and characters.

Here’s what the slide says:

Every good story is crafted around characters.But until now, creating compelling characters has been the most challenging part of content creation.

The deck explains Hedra’s ‘omnimodal foundation model’ that lets people quickly generate digital characters.

Here’s what the slide says:

At Hedra, we’ve built the world’s best character performance model that uniquely combines video, voice, motion, and emotion in a way never before possible.

• Hedra’s Character-3 model is the world’s first omnimodal foundation model in production.
• The only model that supports human, animated, and animal characters. And it works with any angle or framing.
• Built to prioritize efficiently scaling unified models
• The entire model was developed with a budget of under $2 million

Hedra’s customers range from everyday consumers to creators and marketers.

Here’s what the slide says:

We’ve seen three key customer segments rely on Hedra for their various character performance needs.

Consumers

Consumers love the fun content they can create on Hedra — ranging from memes to music videos to short films.

Prosumers

Prosumers are using Hedra for use cases such as video podcasts, social media, and developing IP.

Marketing Teams

Marketing teams are using Hedra to create UGC, product tutorials, and other content to drive sales conversions.

Hedra has plans to expand into more enterprise offerings.

Here’s what the slide says:

And we’ve already gotten heavy inbound interest from businesses for professional use and have signed notable early enterprise customers.

Upcoming Enterprise Features:

• Teams management
• IP Guards
• Enterprise-level security

The deck highlights Hedra’s research team and its proprietary tech.

Here’s what the slide says:

Hedra is poised to be the first company to shatter the “uncanny valley.”

• We have a best-in-class research team that enables us to train proprietary omnimodal models that no competitor can develop
• We’re a product focused company that builds foundation models for real world applications, listens to our users, and ships frequently.
• We’re a capital efficient team that built Character-3 on under $2M in capital and a small research team.

Then the deck introduces the team.

Here’s what the slide says:

We’ve assembled the best team to own this category — marrying deep research with AI-Native product design.

Key Leadership Team:

Michael Lingelbach: Founder / CEO

• Stanford PhD student of Fei-Fei Li and Jiajun Wu. Senior author of 3 real-time diffusion papers. Recipient of prestigious Stanford Graduate Fellowship.

Hongwei Yi: Head of Research

• Former PhD Student of Michael Black, principal researcher behind first audio to video diffusion model to hit the market in the US.

Wei Li: Research Lead

• Core contributor to Google Bard/Gemini, PaLM-2 and T5, with 8+ years experience at Google Brain/Deepmind.

Jason Wilson: Head of Engineering

• Previously led engineering at Nava Benefits (Thrive-backed Series B startup) and engineering manager at Descartes Labs.

Alan Guo: Chief of Staff

• MBA from Harvard Business School. Previously worked in growth & strategy at Disney, Jubilee Media, and Firework.

Ramin Keene: Principal Engineer

• Former CTO at StockX and two-time founder.

Hedra concludes its deck by saying ‘we’re just getting started.’

Here’s what the slide says:

We’re on a mission to build the world’s best end-to-end storytelling platform. And we’re just getting started.

• We’ve already built the world’s leading character performance model on just a $2M budget.
• Prosumers, consumers, and enterprise marketers love and depend on us for their content.
• We’re now working on even larger feature releases that will reinvent creation workflows.

It ends with a thank you slide.

This includes contact information for its CEO.

The post Read the pitch deck an AI video startup behind viral baby podcast memes used to raise $32 million from A16z and others appeared first on Business Insider.