At the heart of generative artificial intelligence lies the ability to create new, contextually relevant content across multiple modalities – text, images, video and synthetic data. These technologies leverage deep learning architectures to understand patterns and generate novel outputs that maintain semantic consistency while adhering to domain-specific constraints.
Intelligent Conversational Agents
We develop customized large language model applications that adapt to your business needs by leveraging flavors of Retrieval Augmented Generation. Our solutions leverage prompt engineering and few-shot learning to enable precise content generation, from legal document automation to personalized customer support, with minimal training data requirements.
Image Synthesis
Our image generation pipeline leverages state-of-the-art Stable Diffusion and GAN architectures to create high-fidelity visuals for your business needs. From product mockups to medical imaging simulations, we customize latent diffusion models to deliver photorealistic outputs with precise attribute control.
Video Synthesis
Convert your static content into dynamic videos using state-of-the-art diffusion models and temporal consistency networks. Our custom solutions leverage motion-aware architectures to generate professional-grade video content from text or images, while maintaining frame coherence and visual fidelity across transitions
Data Synthesis
Transform your sensitive business data into privacy-compliant synthetic datasets using state-of-the-art deep learning. Our solutions leverage differential privacy techniques and advanced neural architectures to generate high-fidelity data for testing, training, and compliance needs across finance, healthcare, and manufacturing sectors.
