Dear FaceRig,

TL;DR (FaceRig mobile): Instead of competing with apps such as Snapchat, become the leading software in the market for conversational agents. Most of the work necessary has already been done.

Not for critizing, but for getting insight in how your company approaches the mobile app, I would like to ask the following question:
Is the mobile app living up to your expectations?

Snapchat was the first popular app to have people sending weird faces and stuff like that. Many apps followed with varying success. FaceRig also enters this market, but with the new approach of using avatars. However now it has been a released for a while, did you achieve the user base and revenue you expected the mobile version would generate? The Android is quite successful with 1 million downloads. For iOS I only see 50 reviews (but as a non iOS user I don't know where to find downloads), so I guess less popular?

The reason for this questions is that I would like to point you at a gap in a market I think this app better fits. With the recent advance of AI agents such as the assistance services Google Assistant, Cortana and Siri or smart home interfaces such as Amazon's Alexa (voice), interaction with agents is a hot field.
The thing lacking to make this interactional more affective are avatars that can be controlled by the agents.

You now have a ridiculous powerful application ported to the mobile ecosystem that both reads the user's facial expression and an avatar that can receive these coordinates. However you're only using it for a simple mapping between the user and the avatar.

What I want to say here is that your application can be the bridge between this new trend in AI for assistance services and virtual avatars. Most of the work has already been done and the only thing left is to give developers a way to embed FaceRig in their application and giving them an API to read the facial coordinates and send facial coordinates to the avatar.

If you create such an API, you can have e.g. chatbots that can respond affective to the user or assistant agents that can change their behaviour based on the user's expression. In other words you'll be the software to use for conversational agents.

I want to do a similar thing for my research project and I've been looking all over the internet. There is not much software that maps user's facial expression to an avatar, but if there is, the quality of the avatar is often really low.