Flam Raises $40 Million to Push Interactive AI Content Into Global Enterprise Sales

Flam has raised a $40 million Series B led by QED Investors, giving the AI interactive-content startup fresh capital to develop its models, widen its products and sell to enterprises internationally. The financing puts money behind Flam’s attempt to turn traditionally passive media into experiences that respond to a viewer’s choices, voice or touch.

Claypond Capital, Martin Chavez, Olivier Pomel, Venky Harinarayan and Shah Rukh Khan participated in the round. Existing backers RTP Global and Dovetail also increased their investments. Flam says the funding will support AI-model research and development, product expansion and enterprise-sales growth in international markets.

The product is built around a more responsive kind of media

Flam’s premise is that content has progressed from text to images to video, while mostly remaining a one-way experience. Founder Shourya Agarwal says the company is pursuing interactive content as a possible next default. The company, founded in 2021 by Agarwal, Malhar Patil and Amit Gaiki, is headquartered in San Francisco and has teams in India and Japan.

What Flam says its tools do

• Flicks lets viewers switch among people, products or scenes during a video’s playback.
• Forge is an editing model intended to change a specific image element while retaining the rest of a reference image.
• Airboards are 3D experiences for camera interfaces that support touch, voice and haptic interaction.
• Visual Agents are human-like characters Flam is developing to converse with users and take actions through a video-call-style interface.

Those formats rely on more than a conventional video player. Flam says Flicks uses patented compression technology to reach a 50-millisecond time to first buffer, while its 3D streaming technology is designed to load Airboards in 300 milliseconds without an app installation. Its Visual Agent pipeline is claimed to return responses in under two seconds. These are company-reported technical measures, not independent benchmarks.

Enterprise traction is the commercial case

Flam says it has signed more than 100 enterprise customers over the past six quarters, including Google, Reliance and Hyundai. It says customers use its technology for marketing, product visualization, learning and development, entertainment, fan engagement, customer support and sales. Those customer figures and use cases are company claims, but they explain why the financing is weighted toward global enterprise sales rather than research alone.

The company’s stack also includes Falcon, a 26-billion-parameter mixture-of-experts language model, alongside systems for image editing, image-to-video generation, multilingual voice and visual agents. That breadth gives Flam several routes into an enterprise workflow, but it also leaves a practical challenge: whether businesses will treat interactive content as a repeatable working interface instead of a specialized campaign format.

Flam previously raised $14 million in a Series A led by RTP Global in May 2025. The latest round raises the stakes on its original proposition: responsiveness has to be fast enough to feel native, and useful enough that enterprises keep deploying it across more than one kind of customer interaction.