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What is Twinly Lab?

Twinly Lab serves as a dynamic marketplace for live-video AI replicas, allowing creators, coaches, and influencers to develop digital doppelgängers embodying their unique facial traits, vocal nuances, and specialized knowledge for fans to book personalized, paid video consultations. In contrast to standard chatbots, these interactions are genuine video exchanges that can take place at any hour, removing the necessity for the creator's physical involvement. The main issue we tackle is the inherent limitation in scaling expertise, as a coach or consultant can only offer a set amount of time for video sessions, which curtails the number of clients they can serve and their potential income. Twinly Lab empowers creators to share their insights and talents even when they aren't online, ensuring their knowledge remains readily available. To get started on the platform, creators need to upload a photo, imitate their voice, and create a repository of knowledge that showcases their experiences and wisdom. Fans can easily find the creator’s profile, book a session, and connect in real-time with the AI twin through live video. Moreover, the earnings from these interactions are effortlessly shared between the creator and the platform via Stripe Connect, streamlining the monetization process. This groundbreaking approach not only enhances the accessibility of expert advice but also transforms the landscape of knowledge sharing and monetization. Ultimately, Twinly Lab is setting a new standard for how expertise is disseminated and compensated in the digital age.

What is TruGen AI?

TruGen AI transforms the landscape of conversational agents by introducing lifelike video avatars that have the ability to see, hear, respond, and act in real time. These sophisticated avatars come with stunningly realistic features, showcasing expressive facial movements, maintaining eye contact, and displaying smooth animations of both body and face. At the heart of this groundbreaking technology lies two pivotal models: the video-avatar model, which generates high-quality facial animations on demand, and the vision model, which enhances interactions by being attuned to context and emotions, including the ability to recognize faces and interpret actions. Through a user-friendly, API-driven platform, developers can integrate these interactive video agents into their websites or applications with ease and minimal programming. Once deployed, these agents respond astonishingly quickly, with response times under a second, while also maintaining a record of conversation history and integrating seamlessly with existing knowledge repositories. Furthermore, they can engage with custom APIs or tools, enabling them to provide responses that are not only relevant and aligned with the brand but also capable of performing specific functions beyond simple dialogue. This cutting-edge approach paves the way for improved user engagement and the delivery of tailored experiences, ultimately enriching the interaction between users and technology. As such, TruGen AI is setting a new standard for how we engage with digital systems.

Media

No images available

Media

Integrations Supported

Integrations Supported

Go
Google Meet
JavaScript
Microsoft Teams
PHP
Python
Zoom

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$28 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Twinly Lab

Date Founded

2026

Company Location

United States

Company Website

twinlylab.com

Company Facts

Organization Name

TruGen AI

Date Founded

2024

Company Location

United States

Company Website

trugen.ai/

Categories and Features

Digital Human

Not specified

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

AI Avatar Generators

Not specified

Digital Human

Not specified

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