EmbodyMe Expands DigiSelf AI Avatars Globally

Oct 21, 2026
EmbodyMe is expanding its DigiSelf AI avatar platform globally, with online and offline options for live conversations and video creation.

Tokyo based EmbodyMe is expanding its DigiSelf AI avatar platform globally, the company said in a press release. In EmbodyMe's benchmark, DigiSelf began speaking incoming audio after a median of 0.33 seconds through its online service, compared with 0.62 seconds for the next fastest platform tested.

Users can create an avatar from one photo and 10 to 30 seconds of recorded speech, or from a video lasting 30 seconds to two minutes. DigiSelf can reproduce facial expressions, mouth movements, voice and speaking style for scripted videos or live conversations in multiple languages.

Businesses can access DigiSelf through an online API or a local SDK that runs without sending user data to the cloud. EmbodyMe recorded a response time of 0.005 seconds for incoming audio with the local SDK. Paid plans start at $29 per month, API streaming starts at $0.10 per minute and offline SDK licenses start at $9,900.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

AI Brief AI Brief (X)
Free newsletter

Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.