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The interface is where engagement is won or lost

70% of their users prefer engaging with a video agent over a voice agent alone.

A face resolves the uncertainty that voice-only and text-only agents create. Users can see that the agent is listening. They can read attention and response in real time. It's legible in a way that audio alone isn't.

This is what we mean when we talk about an interactive avatar that reflects your brand and adapts to each individual user. It's not a cosmetic layer on top of an existing agent. It's a different kind of interaction.

Independent evaluations show Anam leads the market across every metric measured: visual quality, lip sync, responsiveness, and natural interruptibility, in a blind study of 178 participants. Users sometimes don't realise they're talking to an AI until several minutes into the conversation.

What this means for startups building now

If you're at the stage of building customer-facing agents, the interface question is worth answering earlier than feels necessary.

The integration is lightweight: a working avatar session in under 10 lines of code, on any stack. The harder design questions are worth thinking through before you're deep in production:

1. What does your brand look like in avatar form? The avatar is the face of your product for every user who interacts with it. Custom avatar creation from a single image means you're not choosing from a generic library.

2. How does the conversation change when there's a face? Users behave differently. Completion rates, information sharing, trust signals all shift. It's worth testing with real users before you've committed to a headless or voice-only architecture.

3. Where in the lifecycle does the visual layer matter most? Not every interaction needs an avatar. High-trust moments: intake, onboarding, qualification, anything where the user is sharing sensitive information or making a decision: are where the face pays off most clearly.

For a deeper look at how enterprise teams are approaching this, check out this page.

Apply for the pack here: Fin AI Startup Pack. And if you want to get into the details, try it out in the lab.