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Firm raises $40m funding to scale AI interactive content

Flam, an AI interactive content company, has raised $40 million in Series B funding led by QED Investors. Claypond Capital, Martin Chavez, Olivier Pomel, Venky Harinarayan, and Shah Rukh Khan joined the round, with existing investors RTP Global and Dovetail doubling down. Flam has signed more than 100 enterprise customers in six quarters, including Google, […]

Firm Flam has secured $40 million in Series B funding to expand its AI interactive content offerings. The investment round was led by QED Investors, with participation from Claypond Capital, Martin Chavez, Olivier Pomel, Venky Harinarayan, Shah Rukh Khan, RTP Global, and Dovetail. The company has already secured over 100 enterprise customers across various sectors, including marketing, product visualization, entertainment, customer support, and sales.

Flam's interactive content is built upon the observation that content has transitioned through waves, from text to images to video, and the next wave is interactive. Founder Shourya Agarwal believes that interactive content will become the default for the internet. Flam holds more than 15 patents and offers three formats: Flicks, Forge, and Airboards.

Flicks are interactive videos that change characters, products, or scenes mid-playback, while Forge is an editing model that modifies specific elements in images. Airboards are high-fidelity 3D content with touch, voice interactions, and haptic feedback. Flam's technology allows for quick loading times and seamless integration without requiring additional apps.

The company's visual agents enable human-like conversations, while Fantom handles facial expressions, Finesse handles voice translation, and Falcon, a 26B-parameter MoE LLM, generates responses in under two seconds. Flam's infrastructure aims to tap into the vast, untapped potential of the content ecosystem, particularly in mobile-first markets like Nigeria, where brands are rapidly adopting new digital engagement methods.

Written by urgent.news from Daily Trust's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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