Flam Secures $40M Series B to Scale AI Infrastructure for Interactive Content Creation

Flam Secures Series B Funding to Transform Content Creation

San Francisco-based interactive content startup Flam announced a $40 million Series B funding round led by QED Investors, with participation from Claypond Capital, Australian Gulf Capital, the SRK Family Office, and notable angel investors including Martin Chavez and Datadog CEO Olivier Pomel1

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. Existing backers RTP Global and Dovetail also joined the round1

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. The capital will primarily fund R&D on underlying AI models, product expansion, and scaling the enterprise sales team globally, according to cofounder and CEO Shourya Agarwal2

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Building AI Infrastructure for Enterprise Solutions

Flam has developed a proprietary AI infrastructure platform backed by more than 15 patents that enables creators to generate AI-enabled interactive content dynamically in real-time1

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. The platform addresses a fundamental shift in digital media consumption, moving beyond one-directional content flows that have dominated text, images, and video. Agarwal founded the company after observing that while demand for interactive experiences has always existed, creators lacked the infrastructure to deliver them at scale1

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Three Core Product Categories Drive Adoption

The startup offers three distinct types of interactive experiences it calls "flams." Flicks are AI-generated interactive videos that use AI compression algorithms to ensure instantaneous and smooth playback during user interactions1

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. Airboards deliver high-fidelity 3D content experiences that stream directly to user devices and camera interfaces, generated via text and image prompts using Flam's proprietary model Fable1

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. Visual Agents represent hyper-realistic conversational avatars that engage users in real-time conversations similar to video calls1

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Advanced AI Models Power Real-Time Interactions

The Visual Agents leverage Fantom, an identity-preservation and motion-transfer model that generatively streams facial expressions in real-time1

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. Fantom works alongside Falcon, a 26 billion-parameter mixture-of-experts model capable of 30 millisecond time-to-first-token inference speeds, enabling Visual Agents to take actions instantaneously1

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. This technical architecture represents a foundational infrastructure layer that allows enterprises to deploy AI for content creation without requiring extensive engineering resources.

Impressive Commercial Traction Despite Stealth Operations

Despite claiming to operate in stealth mode until now, Flam has signed more than 100 enterprise customers over the past year-and-a-half, including Google1

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. The company is approaching $100 million in annual recurring revenue, a milestone it expects to reach next year1

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. This rapid adoption rate signals strong market demand for interactive content platforms that enterprises can implement without significant technical overhead.

Investor Confidence Built on Proven Scalability

QED Investors Managing Partner Nigel Morris noted that many startups have attempted to deliver truly interactive content experiences but failed due to demos that never scaled1

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. What distinguished Flam was its combination of differentiated AI infrastructure, an enterprise-deployable platform requiring no engineering lift, and commercial traction proving market validation1

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. Agarwal emphasized that technology has evolved sufficiently to support natural human curiosity, stating that passive media represented a technological limitation rather than a lack of desire for interaction1

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