Synthetic Human Models for the Media Industry

Scalability

AI models can be produced and replicated infinitely, making them a cost-effective solution for large-scale campaigns.

Global Reach

Tailor-made AI models are designed to represent products for different demographics for international and localized campaigns.

Diversity &Inclusion

AI enables the creation of models with diverse features, appearances, allowing brands to represent a broader audience.

AI Voice Cloning and Text-to-Speech

Voice Cloning

We train our models with high accuracy in capturing tone, pitch, and speech patterns and we take support for custom voices with different accents.

Text-to-Speech

Our model supports multiple languages and accents, customizable speech tone and style with real-time batch processing capabilities.

Ethical AI

We prioritize consent-based voice cloning and responsible AI development.  We ensure quick processing times with strict data privacy standards.  

Technology Behind Virtual Human Models

 

AI marketing is transforming how businesses attract, engage, and retain customers by leveraging automation, data analysis, and machine learning. AI Marketing refers to the use of artificial intelligence (AI) technologies to automate, optimize, and enhance marketing processes. AI helps businesses analyze large amounts of data, predict consumer behavior, personalize content, and improve customer interactions—all in real time. By leveraging machine learning (ML), natural language processing (NLP), predictive analytics, and automation, AI enables marketers to make data-driven decisions and increase the effectiveness of their campaigns.

Generative Adversarial Networks (GANs)

We use GANs for generating hyper-realistic images, animations, and even motion. GAN models are used for generating hyper-realistic human faces which is the foundation of a virtual human.

Natural Language Processing (NLP)

NLP technology is used to generate virtual models by fine-tuning the virtual human to align with human-like reasoning, preferences, and ethical guidelines, including text, speech and context.

Neural Rendering, AR & VR

Neural rendering is used to blend real and virtual imagery to produce hyper-realistic AI models. AI models combined with Augmented Reality and Virtual Reality, helps to create immersive and interactive human-like experiences.

Predictive Analytics for Better Decision-Making

AI-Driven Forecast

Anticipate demand and optimize inventory according to market demand.

Customer Retention

Identify potential churn and take proactive measures to retain customers.

Campaign Predection

Effective campaign budgets after predicting ROI with proper data analysis.

Hyper-personalized marketing

Behaviour Analysis

You can deliver tailored messages, product recommendations, and offers to your customers.

Dynamic Content

You can create dynamic content that adapts to individual user profiles in real time.

Engaging Talk

Your customer engagement and loyalty can be increased by relevant interaction.

Industry Verticals

AI Robot

E-Commerce & Retail

  • AI analyzes customer behavior to suggest products
  • AI adjusts prices based on demand & competitor pricing
  • AI identifies customers likely to churn & triggers retention campaigns
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AI Marketing for Health Sector

  • AI identifies at-risk patients and triggers engagement strategies
  • AI identifies potential patients and prioritizes follow-ups
  • AI chatbots engage potential patients and convert them into appointments.
AI robot and a woman working together to find an error free software solution

AI Marketing for Real Estate

  • AI tracks trends & sentiment on real estate forums and social media
  • AI suggests listings based on buyer preferences
  • AI forecasts price changes & investment opportunities

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NLP (Natural Language Processing)

  • NLP goes beyond sentiment to recognize emotions such as joy, frustration, or excitement.
  • Enhances customer engagement strategies based on emotional triggers.NLP analyzes social media comments and reviews for real-time insights.
  • Using chatbots with NLP will provide personalized and efficient support.
  • NLP will monitor customer feedback to identify pain points and trends.
  • Language processing helps identify satisfaction levels and areas for improvement.

Machine Learning (ML) Model

  • ML algorithms continuously learn from customer behavior, preferences, and interactions for better engagement and higher ROI.
  • ML analyzes customer data (browsing behavior, purchase history, social interactions) to create hyper-personalized marketing campaigns.
  • AI-powered chatbots with ML can provide 24/7 customer support. Chatbot learn from interactions and improve responses over time.
  • Automates repetitive tasks like lead scoring, campaign optimisation.

Gen AI for Marketing Landscape

  • Generates marketing visuals, banners, logos, and ad creatives.
  • Transforms text descriptions into compelling images or videos.
  • Generates engaging social media posts, hashtags, and creative captions.
  • Analyzes trends to suggest relevant content ideas.
  • Reduces manual efforts.
  • Provides instant, AI-driven responses to customer inquiries.
  • Enhances lead generation and customer support with conversations. Produces video content from text input or scripts.
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By embracing Artificial Intelligence companies can achieve greater agility, resilience, and competitiveness in an increasingly complex global market.