Bengaluru-based interactive content company Flam has raised $40 million in Series B funding as it moves to take AI-powered interactivity deeper into enterprise marketing and customer experience.
The round was led by QED Investors, with participation from Claypond Capital, Martin Chavez, Olivier Pomel, Venky Harinarayan and Shah Rukh Khan. Existing investors RTP Global and Dovetail also increased their commitments.
Where the funding will go
Flam says the fresh capital will be deployed across three fronts: R&D for its AI models, expansion of its product suite, and scaling enterprise sales globally.
The company reports more than 100 enterprise customers across six quarters, including Google, Reliance and Hyundai. These clients use Flam’s platform for marketing, product visualisation, learning and development, entertainment, fan engagement, customer support and sales.
Why interactive content is the story
Flam’s pitch rests on a simple shift. Founder Shourya Agarwal framed it as content having moved “from text to images to video,” with each wave flowing one way—creator to viewer. He added, “We think interactive is the next default for the internet.”
For marketing teams, that shift has practical implications. Instead of passive ads or product pages, brands can offer experiences where viewers change a product visual, switch a scene, or talk with an AI character in real time.
What the platform includes
Flam holds more than 15 patents and currently offers several formats:
- Flicks: interactive videos that switch a person, product or scene during playback, with a patented compression algorithm and programmatic delivery at 50ms time-to-first-buffer.
- Forge: an editing model that uses image references to modify specified elements.
- Airboards: high-fidelity 3D content built for camera interfaces, supporting touch, voice and haptic feedback, with 3D streaming that loads in 300ms without an app installation.
- Fable: an image-to-video model that generates assets as native alpha channel videos.
- Visual Agents: human-like characters that hold conversations and take action through a video-call-like interface.
Under the hood, Flam’s stack includes Fantom for facial expression and motion transfer, Finesse for voice in any language, and Falcon, a 26B-parameter MoE LLM, for responses at 30ms time-to-first-token. The company says its pipeline returns an answer in under two seconds.
What marketers can do now
A practical starting point is to audit high-intent areas where static content underperforms: product pages, explainer videos and onboarding flows. Then pilot one interactive element—such as product visualisation or a choose-your-own-path demo—before committing to a broader rollout.
As enterprise adoption grows, visual agents may also become a meaningful test bed for customer support and fan engagement, where response speed and personalisation can create measurable lift.
Nigel Morris, co-founder and managing partner at QED Investors, said many frontier AI content companies are “optimizing what already exists.” Flam, he argued, pointed at how much of the content ecosystem is still untouched.
Source: MediaNews4U
