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What is Ziva Face Trainer?

Experience the incredible capabilities of real-time facial animation driven by cloud technology. Sign up today to gain exclusive early access and elevate your distinct face designs with the ZRT Face Trainer. This state-of-the-art technology allows any face mesh to convey complex emotions instantly. The ZRT Face Trainer harnesses a vast library of 4D data combined with advanced machine learning techniques to produce breathtaking results. In under an hour, your character mesh can be upgraded with some of the most advanced technology found in the gaming sector. With over 15TB of 4D scan data at its foundation, the ZRT Face Trainer empowers face puppets to showcase more than 72,000 unique training shapes and creative facial expressions. Astonishingly, these ZRT face puppets operate with a minimal runtime footprint of just 30MB, achieving real-time performance at an impressive speed of 3ms per frame on a single CPU thread. It is crucial to remember that all inputs for the ZRT Face Trainer must first go through a registration process to guarantee effective training, as the precision of this registration plays a vital role in determining the quality of the facial animation produced. This groundbreaking approach is set to revolutionize the benchmarks of character animation across interactive platforms. As a result, developers will be able to create more engaging and lifelike characters than ever before.

What is Anam?

Anam is an all-encompassing platform designed for the creation of captivating AI avatars that facilitate real-time video conversations. Each avatar is meticulously constructed using a blend of facial features, vocal characteristics, a language processing model, a guiding system prompt, extensive knowledge, and a range of tools, which allow it to listen attentively, engage effectively, and perform tasks during live interactions. Users can choose to build a new agent from scratch or augment an existing one by adding a distinctive face, making it suitable for applications in customer support, sales engagements, lead qualification, language instruction, training programs, onboarding procedures, and medical front-desk assistance. The platform's Turnkey pipeline efficiently handles functions such as speech recognition, responses generated by large language models, text-to-speech synthesis, facial generation, and content delivery via WebRTC, while developers can also incorporate their own language models, speech recognition systems, or voice solutions, or simply stream audio for facial animation. Furthermore, Anam's CARA-4 model manipulates every pixel in real-time, producing breathtaking photorealistic images, smooth head movements, subtle micro-expressions, and emotional reactions that resonate with the conversation's context. Additionally, the Director Notes feature allows creators to refine an avatar's performance through tailored presets or specific instructions, enhancing expressiveness for better engagement. This cutting-edge methodology not only significantly improves user interactions but also paves the way for individualized communication possibilities across diverse sectors, fostering innovation in how we connect and engage with technology.

Media

Media

Integrations Supported

Maya
Unreal Engine

Integrations Supported

Claude
GPT-4o
Mistral AI

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$12 per month

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Ziva Dynamics

Company Location

Canada

Company Website

zivadynamics.com/zrt-face-trainer

Company Facts

Organization Name

Anam

Date Founded

2023

Company Location

United Kingdom

Company Website

anam.ai/

Categories and Features

3D Modeling

Not specified

Game Development

Not specified

Categories and Features

AI Avatar Generators

Not specified

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